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  <front>
    <journal-meta>
      <journal-id journal-id-type="publisher-id">61</journal-id>
      <journal-id journal-id-type="index">urn:lsid:arphahub.com:pub:F9A654F3-34B8-5338-9F9C-D38A394E7BA2</journal-id>
      <journal-title-group>
        <journal-title xml:lang="en">Metabarcoding and Metagenomics</journal-title>
        <abbrev-journal-title xml:lang="en">MBMG</abbrev-journal-title>
      </journal-title-group>
      <issn pub-type="epub">2534-9708</issn>
      <publisher>
        <publisher-name>Pensoft Publishers</publisher-name>
      </publisher>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="doi">10.3897/mbmg.5.70063</article-id>
      <article-id pub-id-type="publisher-id">70063</article-id>
      <article-categories>
        <subj-group subj-group-type="heading">
          <subject>Methods</subject>
        </subj-group>
        <subj-group subj-group-type="biological_taxon">
          <subject>Annelida</subject>
          <subject>Ascidiacea</subject>
          <subject>Cnidaria</subject>
          <subject>Crustacea</subject>
          <subject>Echinodermata</subject>
          <subject>Mollusca</subject>
        </subj-group>
        <subj-group subj-group-type="scientific_subject">
          <subject>Bioassessment</subject>
          <subject>DNA-based biomonitoring</subject>
          <subject>Metabarcoding</subject>
        </subj-group>
        <subj-group subj-group-type="geographical_area">
          <subject>Iberian Peninsula</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title>﻿Comparing species detection success between molecular markers in DNA metabarcoding of coastal macroinvertebrates</article-title>
      </title-group>
      <contrib-group content-type="authors">
        <contrib contrib-type="author" corresp="yes">
          <name name-style="western">
            <surname>Leite</surname>
            <given-names>Barbara R.</given-names>
          </name>
          <email xlink:type="simple">barbaradrl.bio@gmail.com</email>
          <uri content-type="orcid">https://orcid.org/0000-0003-4440-1298</uri>
          <xref ref-type="aff" rid="A1">1</xref>
          <xref ref-type="aff" rid="A2">2</xref>
        </contrib>
        <contrib contrib-type="author" corresp="no">
          <name name-style="western">
            <surname>Vieira</surname>
            <given-names>Pedro E.</given-names>
          </name>
          <uri content-type="orcid">https://orcid.org/0000-0003-4880-3323</uri>
          <xref ref-type="aff" rid="A1">1</xref>
        </contrib>
        <contrib contrib-type="author" corresp="no">
          <name name-style="western">
            <surname>Troncoso</surname>
            <given-names>Jesús S.</given-names>
          </name>
          <xref ref-type="aff" rid="A2">2</xref>
          <xref ref-type="aff" rid="A3">3</xref>
        </contrib>
        <contrib contrib-type="author" corresp="yes">
          <name name-style="western">
            <surname>Costa</surname>
            <given-names>Filipe O.</given-names>
          </name>
          <email xlink:type="simple">fcosta@bio.uminho.pt</email>
          <uri content-type="orcid">https://orcid.org/0000-0001-5398-3942</uri>
          <xref ref-type="aff" rid="A1">1</xref>
        </contrib>
      </contrib-group>
      <aff id="A1">
        <label>1</label>
        <addr-line>Centre of Molecular and Environmental Biology (CBMA), Department of Biology, University of Minho, Campus de Gualtar, 4710-057 Braga, Portugal</addr-line>
      </aff>
      <aff id="A2">
        <label>2</label>
        <addr-line>Institute of Science and Innovation for Bio-Sustainability (IB-S), University of Minho, Campus de Gualtar, 4710-057 Braga, Portugal</addr-line>
      </aff>
      <aff id="A3">
        <label>3</label>
        <addr-line>UVIGO Marine Research Centre (CIM-UVIGO), ECIMAT Marine Station, Toralla Island, s/n, Vigo, Spain</addr-line>
      </aff>
      <aff id="A4">
        <label>4</label>
        <addr-line>Department of Ecology and Animal Biology, Marine Sciences Faculty, University of Vigo, Campus Lagoas-Marcosende, 36310 Vigo, Spain</addr-line>
      </aff>
      <author-notes>
        <fn fn-type="corresp">
          <p>Corresponding authors: Barbara R. Leite (<email xlink:type="simple">barbaradrl.bio@gmail.com</email>), Filipe O. Costa (<email xlink:type="simple">fcosta@bio.uminho.pt</email>)</p>
        </fn>
        <fn fn-type="edited-by">
          <p>Academic editor: Owen S. Wangensteen</p>
        </fn>
      </author-notes>
      <pub-date pub-type="collection">
        <year>2021</year>
      </pub-date>
      <pub-date pub-type="epub">
        <day>29</day>
        <month>12</month>
        <year>2021</year>
      </pub-date>
      <volume>5</volume>
      <elocation-id>e70063</elocation-id>
      <uri content-type="arpha" xlink:href="http://openbiodiv.net/C7E2D614-4734-583E-B11F-5F36A9A40F50">C7E2D614-4734-583E-B11F-5F36A9A40F50</uri>
      <uri content-type="zenodo_dep_id" xlink:href="https://zenodo.org/record/5823716">5823716</uri>
      <history>
        <date date-type="received">
          <day>12</day>
          <month>06</month>
          <year>2021</year>
        </date>
        <date date-type="accepted">
          <day>07</day>
          <month>12</month>
          <year>2021</year>
        </date>
      </history>
      <permissions>
        <copyright-statement>Barbara R. Leite, Pedro E. Vieira, Jesús S. Troncoso, Filipe O. Costa</copyright-statement>
        <license license-type="creative-commons-attribution" xlink:href="http://creativecommons.org/licenses/by/4.0/" xlink:type="simple">
          <license-p>This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.</license-p>
        </license>
      </permissions>
      <abstract>
        <label>﻿Abstract</label>
        <p>DNA metabarcoding has great potential to improve marine biomonitoring programs by providing a rapid and accurate assessment of species composition in zoobenthic communities. However, some methodological improvements are still required, especially regarding failed detections, primers efficiency and incompleteness of databases. Here we assessed the efficiency of two different marker loci (<abbrev xlink:title="mitochondrial cytochrome oxidase I gene" id="ABBRID0EDE">COI</abbrev> and <abbrev xlink:title="nuclear small subunit rRNA gene" id="ABBRID0EHE">18S</abbrev>) and three primer pairs in marine species detection through DNA metabarcoding of the macrozoobenthic communities colonizing three types of artificial substrates (slate, <abbrev xlink:title="polyvinyl chloride" id="ABBRID0ELE">PVC</abbrev> and granite), sampled between 3 and 15 months of deployment. To accurately compare detection success between markers, we also compared the representativeness of the detected species in public databases and revised the reliability of the taxonomic assignments. Globally, we recorded extensive complementarity in the species detected by each marker, with 69% of the species exclusively detected by either <abbrev xlink:title="nuclear small subunit rRNA gene" id="ABBRID0EPE">18S</abbrev> or <abbrev xlink:title="mitochondrial cytochrome oxidase I gene" id="ABBRID0ETE">COI</abbrev>. Individually, each of the three primer pairs recovered, at most, 52% of all species detected on the samples, showing also different abilities to amplify specific taxonomic groups. Most of the detected species have reliable reference sequences in their respective databases (82% for <abbrev xlink:title="mitochondrial cytochrome oxidase I gene" id="ABBRID0EXE">COI</abbrev> and 72% for <abbrev xlink:title="nuclear small subunit rRNA gene" id="ABBRID0E2E">18S</abbrev>), meaning that when a species was detected by one marker and not by the other, it was most likely due to faulty amplification, and not by lack of matching sequences in the database. Overall, results showed the impact of marker and primer applied on species detection ability and indicated that, currently, if only a single marker or primer pair is employed in marine zoobenthos metabarcoding, a fair portion of the diversity may be overlooked.</p>
      </abstract>
      <kwd-group>
        <label>Key Words</label>
        <kwd>COI</kwd>
        <kwd>18S</kwd>
        <kwd>DNA metabarcoding</kwd>
        <kwd>marine macrozoobenthic diversity</kwd>
        <kwd>primer efficiency</kwd>
        <kwd>taxonomic discrimination</kwd>
      </kwd-group>
    </article-meta>
  </front>
  <body>
    <sec sec-type="﻿Introduction" id="SECID0EIF">
      <title>﻿Introduction</title>
      <p>DNA metabarcoding is the taxonomic identification of organisms present in a bulk or environmental sample through the use of DNA amplification of standard regions of a genome (i.e. DNA barcodes) coupled with high-throughput sequencing (<abbrev xlink:title="high-throughput sequencing" id="ABBRID0EOF">HTS</abbrev>) (<xref ref-type="bibr" rid="B72">Taberlet et al. 2012</xref>). DNA metabarcoding studies have been developed for diverse taxonomic groups (e.g. terrestrial arthropods: <xref ref-type="bibr" rid="B19">Elbrecht et al. 2019</xref>; freshwater macroinvertebrates: <xref ref-type="bibr" rid="B4">Bista et al. 2018</xref>; <xref ref-type="bibr" rid="B26">Giebner et al. 2020</xref>; meiofaunal organisms: <xref ref-type="bibr" rid="B22">Fais et al. 2020b</xref>; marine communities: <xref ref-type="bibr" rid="B44">Leray and Knowlton 2015</xref>; <xref ref-type="bibr" rid="B3">Aylagas et al. 2018</xref>), using a wide range of laboratory procedures (<xref ref-type="bibr" rid="B1">Andújar et al. 2018</xref>) and addressing questions about species richness, taxonomic composition, as well as biodiversity patterns (<xref ref-type="bibr" rid="B51">McGee et al. 2019</xref>; <xref ref-type="bibr" rid="B55">Piñol et al. 2019</xref>).</p>
      <p>Metabarcoding allows for comparison across studies, however the harmonization and standardization of protocols is still far from being established (<xref ref-type="bibr" rid="B74">van der Loos and Nijland 2020</xref>; <xref ref-type="bibr" rid="B18">Duarte et al. 2021</xref>). While DNA-based approaches for assessing and monitoring marine macroinvertebrate species are constantly evolving (<xref ref-type="bibr" rid="B1">Andújar et al. 2018</xref>), the diversity of the adopted methodologies, including the use of different primer pairs or molecular markers, the lack of accurate and complete reference databases, and the continuous emergence of new sequencing innovations and bioinformatics pipelines, implies low standardization and comparability among studies (<xref ref-type="bibr" rid="B14">Cowart et al. 2015</xref>; <xref ref-type="bibr" rid="B46">Leray and Knowlton 2017</xref>), which remain important challenges that should be addressed.</p>
      <p>Targeting marine species is especially challenging due to the broad taxonomic and phylogenetic composition of marine communities, and the choice of marker usually depends on the target taxa. However, the balance between the range of taxonomic coverage and the taxonomic discrimination ability should be considered in the choice of target genomic region and/or primer pairs, since it may affect the number of species and the taxonomic groups detected (<xref ref-type="bibr" rid="B74">van der Loos and Nijland 2020</xref>). Initially, a fundamental and critical decision in a DNA metabarcoding study is centered on which genomic region should be targeted. The 5’ end of the mitochondrial cytochrome oxidase I gene (<abbrev xlink:title="mitochondrial cytochrome oxidase I gene" id="ABBRID0EWH">COI</abbrev>) is the standard barcode for animal life and the backbone of the universal Barcode of Life species identification system (<xref ref-type="bibr" rid="B30">Hebert et al. 2003</xref>), being the recommend marker for community metabarcoding (<xref ref-type="bibr" rid="B1">Andújar et al. 2018</xref>) and by far the most well represented genomic region in public databases (<xref ref-type="bibr" rid="B56">Porter and Hajibabaei 2020</xref>). After <abbrev xlink:title="mitochondrial cytochrome oxidase I gene" id="ABBRID0EHAAC">COI</abbrev>, the nuclear small subunit rRNA gene (<abbrev xlink:title="nuclear small subunit rRNA gene" id="ABBRID0ELAAC">18S</abbrev>) is among the most widely used markers in marine biodiversity studies (e.g. <xref ref-type="bibr" rid="B43">Lejzerowicz et al. 2015</xref>; <xref ref-type="bibr" rid="B78">Wangensteen et al. 2018</xref>; <xref ref-type="bibr" rid="B81">Zhang et al. 2018</xref>; <xref ref-type="bibr" rid="B21">Fais et al. 2020a</xref>; <xref ref-type="bibr" rid="B18">Duarte et al. 2021</xref>).</p>
      <p>PCR-based methodologies are highly influenced by amplification biases thereby encouraging the use of several primer pairs in different metabarcoding studies (<xref ref-type="bibr" rid="B4">Bista et al. 2018</xref>; <xref ref-type="bibr" rid="B19">Elbrecht et al. 2019</xref>; <xref ref-type="bibr" rid="B29">Hajibabaei et al. 2019</xref>; <xref ref-type="bibr" rid="B56">Porter and Hajibabaei 2020</xref>). Amplicon length, primer mismatches, GC content, and polymerase errors can also affect the ability to detect the species present in bulk or environmental samples, (<xref ref-type="bibr" rid="B38">Kebschull and Zador 2015</xref>; <xref ref-type="bibr" rid="B54">Piñol et al. 2015</xref>; <xref ref-type="bibr" rid="B53">Nichols et al. 2018</xref>; <xref ref-type="bibr" rid="B15">Derycke et al. 2020</xref>). Even broad-range primers (i.e. able to amplify a DNA fragment over a broad taxonomic scope) demonstrated more affinity for some species and consequently do not perfectly match the DNA of all species present in a bulk sample. Low species detection ability has been associated with the use of non-degenerate primers (<xref ref-type="bibr" rid="B11">Clarke et al. 2014</xref>; Elbrecht et al. 2017; <xref ref-type="bibr" rid="B12">Collins et al. 2019</xref>), however, degenerate primers seem to have a higher capability to detect species compared with nondegenerate ones. The Leray-Geller fragment (mlCOIintF/jgHCO2198 – <xref ref-type="bibr" rid="B47">Leray et al. 2013</xref>, <xref ref-type="bibr" rid="B25">Geller et al. 2013</xref>) is a degenerate primer pair widely used in DNA metabarcoding studies targeting different types of taxa (<xref ref-type="bibr" rid="B44">Leray and Knowlton 2015</xref>; <xref ref-type="bibr" rid="B10">Clarke et al. 2017</xref>; <xref ref-type="bibr" rid="B62">Ransome et al. 2017</xref>; <xref ref-type="bibr" rid="B3">Aylagas et al. 2018</xref>), mostly due to their design for marine organisms with a wide phylogenetic coverage and fair amplicon length (313 <abbrev xlink:title="base pairs" id="ABBRID0EFDAC">bp</abbrev>). Yet, the inclusion of inosine bases in the reverse primer jgHCO2198 may impair the performance of the most commonly used high-fidelity polymerases for generating amplicon libraries for <abbrev xlink:title="high-throughput sequencing" id="ABBRID0EJDAC">HTS</abbrev> (<xref ref-type="bibr" rid="B39">Knittel and Picard 1993</xref>, <xref ref-type="bibr" rid="B36">Jungbluth et al. 2021</xref>). The combination of mlCOIintF with LoboR1 amplifies exactly the same fragment and with demonstrated success in the amplification of DNA barcodes of marine taxa (<xref ref-type="bibr" rid="B28">Haenel et al. 2017</xref>; <xref ref-type="bibr" rid="B32">Hollatz et al. 2017</xref>; <xref ref-type="bibr" rid="B9">Chang et al. 2020</xref>; <xref ref-type="bibr" rid="B8">Castro et al. 2021</xref>). Primers amplifying the nuclear genes (e.g. TAReuk454FWD1/TAReukREV3, <xref ref-type="bibr" rid="B43">Lejzerowicz et al. 2015</xref>) constitute alternatives to <abbrev xlink:title="mitochondrial cytochrome oxidase I gene" id="ABBRID0EJEAC">COI</abbrev> primers, mainly because of their slower rate of evolution which results in more conserved regions which may facilitate the design of primers. However, reference databases for <abbrev xlink:title="nuclear small subunit rRNA gene" id="ABBRID0ENEAC">18S</abbrev> target regions are less populated than <abbrev xlink:title="mitochondrial cytochrome oxidase I gene" id="ABBRID0EREAC">COI</abbrev> (<xref ref-type="bibr" rid="B1">Andújar et al. 2018</xref>) and <abbrev xlink:title="mitochondrial cytochrome oxidase I gene" id="ABBRID0EZEAC">COI</abbrev>-primers often outperform primers for rDNA loci on taxon recovery (<xref ref-type="bibr" rid="B10">Clarke et al. 2017</xref>; Elbrecht et al. 2017, <xref ref-type="bibr" rid="B19">2019</xref>; <xref ref-type="bibr" rid="B2">Atienza et al. 2020</xref>) and species discrimination ability (<xref ref-type="bibr" rid="B73">Tang et al. 2012</xref>; <xref ref-type="bibr" rid="B10">Clarke et al. 2017</xref>). Choosing the appropriate molecular markers and/or primer pairs is a principal step to influence the quality of data through PCR amplification, to accurately and efficiently determine the taxonomic composition of the bulk sample and to assign a species level identification.</p>
      <p>For DNA metabarcoding studies, multiple sets of primers amplifying different molecular markers have been used to target a broad range of taxonomic groups in different marine communities. However, the majority of studies used a single primer pair or single marker loci strategy (<xref ref-type="bibr" rid="B18">Duarte et al. 2021</xref>). In two studies which comprehensively review DNA metabarcoding studies over the last 10 years, the authors concluded that only a minor portion of the publications used more than one marker (25% in <xref ref-type="bibr" rid="B74">van der Loos and Nijland 2020</xref>; 24% in <xref ref-type="bibr" rid="B18">Duarte et al. 2021</xref>).</p>
      <p>Although DNA metabarcoding studies aim to provide species level assignments (<xref ref-type="bibr" rid="B72">Taberlet et al. 2012</xref>), the existence of gaps in the reference sequence databases (<xref ref-type="bibr" rid="B79">Weigand et al. 2019</xref>; <xref ref-type="bibr" rid="B42">Leite et al. 2020</xref>; <xref ref-type="bibr" rid="B52">Mugnai et al. 2021</xref>), associated with the limited species level discrimination ability of some markers (e.g. <abbrev xlink:title="nuclear small subunit rRNA gene" id="ABBRID0ERGAC">18S</abbrev> rRNA; <xref ref-type="bibr" rid="B77">von Ammon et al. 2018</xref>) in some taxonomic groups, reduces the discrimination level of taxonomic identifications. However, the trade-off between the range of taxonomic coverage (species successfully amplified) and the taxonomic discrimination ability should be considered to enable accurate identifications at lower taxonomic ranks (<xref ref-type="bibr" rid="B56">Porter and Hajibabaei 2020</xref>).</p>
      <p>Considering the importance of choice of marker and primer to improve taxonomic coverage and discrimination of DNA metabarcoding, we investigated the impact of these factors on the composition and structure of marine macrozoobenthic communities. We selected two different primer pairs targeting <abbrev xlink:title="mitochondrial cytochrome oxidase I gene" id="ABBRID0E6GAC">COI</abbrev> and one targeting <abbrev xlink:title="nuclear small subunit rRNA gene" id="ABBRID0EDHAC">18S</abbrev> rDNA V4 region, to compare their ability to detect macroinvertebrates at species level and to evaluate the benefits of the use of two molecular markers on species recovery success. We also conducted an assessment of the availability of reference sequences for all species detected in the study, in order to compare the representativeness of species, identifying the existence of gaps in both databases (BOLD for <abbrev xlink:title="mitochondrial cytochrome oxidase I gene" id="ABBRID0EHHAC">COI</abbrev> and SILVA for <abbrev xlink:title="nuclear small subunit rRNA gene" id="ABBRID0ELHAC">18S</abbrev> rRNA gene) and attempting to infer the reasons for failed detections.</p>
    </sec>
    <sec sec-type="materials|methods" id="SECID0EPHAC">
      <title>﻿Materials and methods</title>
      <sec sec-type="﻿Sampling design" id="SECID0ETHAC">
        <title>﻿Sampling design</title>
        <p>This study was conducted in Ría de Vigo, a semi-enclosed heavily human populated bay on the NW coast of Spain, constituted by important busy harbours and consequently affected by several human activities (e.g. sewage runoff or harvesting) (<xref ref-type="bibr" rid="B75">Veiga et al. 2016</xref>). This area includes both hard and soft substrata, which have a high primary productivity due to the influence of coastal seasonal upwelling-downwelling dynamics, which lead the larvae recruitment process during spring and early summer (<xref ref-type="bibr" rid="B57">Prego and Fraga 1992</xref>).</p>
        <p>In December 2016, four replicates (flat panels 10 × 10 cm) of three different types of artificial substrates – slate, polyvinyl chloride (<abbrev xlink:title="polyvinyl chloride" id="ABBRID0EDIAC">PVC</abbrev>) and granite – were randomly deployed on the dock of Toralla Island (<named-content content-type="dwc:verbatimCoordinates"><named-content content-type="geo-json" specific-use="{&quot;type&quot;:&quot;Point&quot;,&quot;coordinates&quot;:[-8.801163,42.200630]}" id="NCID0EKIAC">42°12'2.267"N, 8°48'4.187"W</named-content></named-content>) approximately 1.5 m of depth (Suppl. material <xref ref-type="supplementary-material" rid="S1">1</xref>: Fig. S1). Using a sterile hermetic plastic bag, after 3, 7, 10 and 15 months, one replicate of each substrate was randomly removed. At the laboratory, the content of each bag with substrate plates was placed in a tray. Then, each sample was individually photographed and the representative mobile and sessile fauna were separated. Each sample was washed with filtered sea water, and the mobile fauna was sieved using a 500 μm mesh. After collecting the mobile fauna, the sessile fauna was scraped with a spatula into a tray. The water of each tray was also sieved (500 μm mesh) and preserved with mobile fauna samples. Between samples, all materials were properly sterilized. All samples were then preserved in ethanol and stored at -20 °C until further analysis.</p>
      </sec>
      <sec sec-type="﻿DNA extraction, PCR amplification and HTS procedures" id="SECID0EXIAC">
        <title>﻿DNA extraction, PCR amplification and <abbrev xlink:title="high-throughput sequencing" id="ABBRID0E3IAC">HTS</abbrev> procedures</title>
        <p>We extracted the DNA from the bulk biomass using DNA extraction procedures adapted from <xref ref-type="bibr" rid="B35">Ivanova et al. (2006)</xref> silica-based method, as described in <xref ref-type="bibr" rid="B70">Steinke et al. (2021)</xref>. The mobile and sessile fauna were processed separately, including amplification and sequencing. Ethanol preserved samples were first filtered to retain the biomass and the ethanol was discarded. The filtered biomass was left for four hours in the hotte to allow the ethanol to fully evaporate. Then, based on the wet weight of each sample (as suggested by <xref ref-type="bibr" rid="B70">Steinke et al. 2021</xref>), the appropriate volume of lysis buffer solution (100 mM NaCl, 50 mM Tris-HCl pH 8.0, 10 mM EDTA, 0.5% SDS) was added and the samples were incubated overnight at 56 °C gently mixed in an orbital shaker set. Negative controls were included in DNA extraction procedures and later checked together with the regular samples during DNA amplification. To maximize diversity recovery, two aliquots of each lysate were used, totaling two DNA extractions per sample. After extraction, the aliquots of genomic DNA for the same sample were pooled before amplification and <abbrev xlink:title="high-throughput sequencing" id="ABBRID0EOJAC">HTS</abbrev>.</p>
        <p>The production of amplicon libraries and the <abbrev xlink:title="high-throughput sequencing" id="ABBRID0EUJAC">HTS</abbrev> were carried out at Genoinseq (Cantanhede, Portugal). A preliminary assessment of primer amplification efficiency of <abbrev xlink:title="mitochondrial cytochrome oxidase I gene" id="ABBRID0EYJAC">COI</abbrev> was conducted in a subset of samples to test four primer pairs that have been previously used in DNA metabarcoding studies (more details in Suppl. material <xref ref-type="supplementary-material" rid="S1">1</xref>: Table S1 and Figs S2, S3). Together, the primer pairs mlCOIintF/LoboR1 and LCO1490/Ill_C_R recovered the highest species richness corresponding to more than 85% of the total detected species with <abbrev xlink:title="mitochondrial cytochrome oxidase I gene" id="ABBRID0EMKAC">COI</abbrev> (data in Suppl. material <xref ref-type="supplementary-material" rid="S1">1</xref>). Therefore, these two primer pairs were selected, and combined with one primer pair targeting the <abbrev xlink:title="nuclear small subunit rRNA gene" id="ABBRID0EUKAC">18S</abbrev> V4 rRNA gene to amplify the marine macroinvertebrate communities from each sample (Table <xref ref-type="table" rid="T1">1</xref>). The <abbrev xlink:title="nuclear small subunit rRNA gene" id="ABBRID0E3KAC">18S</abbrev> V4 primer (TAReuk454FWD1/TAReukREV3) was selected based on results obtained in other studies, in which different <abbrev xlink:title="nuclear small subunit rRNA gene" id="ABBRID0EALAC">18S</abbrev> primers were compared, and this primer had the best performance (<xref ref-type="bibr" rid="B22">Fais et al. 2020b</xref>).</p>
        <table-wrap id="T1" position="float" orientation="portrait">
          <label>Table 1.</label>
          <caption>
            <p>Primer pairs and respective thermal cycling conditions used in this study to amplify marine macroinvertebrate communities. F – forward; R – reverse; <abbrev xlink:title="base pairs" id="ABBRID0ERLAC">bp</abbrev> – base pairs.</p>
          </caption>
          <table id="TID0E46AI" rules="all">
            <tbody>
              <tr>
                <th rowspan="1" colspan="2">Primer combinations and length</th>
                <th rowspan="1" colspan="1">Direction (5’-3’)</th>
                <th rowspan="1" colspan="1">Reference</th>
                <th rowspan="1" colspan="1">PCR thermal cycling conditions</th>
              </tr>
              <tr>
                <td rowspan="4" colspan="1">
                  <abbrev xlink:title="mitochondrial cytochrome oxidase I gene" id="ABBRID0ELMAC">COI</abbrev>
                </td>
                <td rowspan="2" colspan="1">LCO1490/Ill_C_R (325 <abbrev xlink:title="base pairs" id="ABBRID0ETMAC">bp</abbrev>)</td>
                <td rowspan="1" colspan="1">(F) GGTCAACAAATCATAAAGATATTGG</td>
                <td rowspan="1" colspan="1">
                  <xref ref-type="bibr" rid="B23">Folmer et al. 1994</xref>
                </td>
                <td rowspan="2" colspan="1">(1) 94 °C (5 min); (2) 35 cycles: 94 °C (30 s), 52 °C (90 s), 68 °C (60 s); (3) 68 °C (10 min).</td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">(R) GGIGGRTAIACIGTTCAICC</td>
                <td rowspan="1" colspan="1">
                  <xref ref-type="bibr" rid="B69">Shokralla et al. 2015</xref>
                </td>
              </tr>
              <tr>
                <td rowspan="2" colspan="1">mlCOIintF/LoboR1 (313 <abbrev xlink:title="base pairs" id="ABBRID0EWNAC">bp</abbrev>)</td>
                <td rowspan="1" colspan="1">(F) GGWACWGGWTGAACWGTWTAYCCYCC</td>
                <td rowspan="1" colspan="1">
                  <xref ref-type="bibr" rid="B47">Leray et al. 2013</xref>
                </td>
                <td rowspan="2" colspan="1">(1) 95 °C (3 min); (2) 35 cycles: 98 °C (20 s), 60 °C (30 s), 72 °C (30 s); (3) 72 °C (5 min).</td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">(R) TAAACYTCWGGRTGWCCRAARAAYCA</td>
                <td rowspan="1" colspan="1">
                  <xref ref-type="bibr" rid="B48">Lobo et al. 2013</xref>
                </td>
              </tr>
              <tr>
                <td rowspan="2" colspan="1">
                  <abbrev xlink:title="nuclear small subunit rRNA gene" id="ABBRID0EZOAC">18S</abbrev>
                </td>
                <td rowspan="2" colspan="1">TAReuk454FWD1/TAReukREV3 (400 <abbrev xlink:title="base pairs" id="ABBRID0EBPAC">bp</abbrev>)</td>
                <td rowspan="1" colspan="1">(F) CCAGCASCYGCGGTAATTCC</td>
                <td rowspan="2" colspan="1"><xref ref-type="bibr" rid="B71">Stoeck et al. 2010</xref>; <xref ref-type="bibr" rid="B43">Lejzerowicz et al. 2015</xref></td>
                <td rowspan="2" colspan="1">(1) 95 °C (3 min); (2) 10 cycles: 98 °C (20 s), 57 °C (30 s), 72 °C (30 s); (3) 25 cycles: 98 °C (20 s), 47 °C (30 s), 72 °C (30 s); (4) 72 °C (5 min).</td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">(R) ACTTTCGTTCTTGATYRA</td>
              </tr>
            </tbody>
          </table>
        </table-wrap>
        <p>PCR reactions were performed using KAPA HIFI HotStart PCR Kit for the <abbrev xlink:title="mitochondrial cytochrome oxidase I gene" id="ABBRID0E3PAC">COI</abbrev> primer pair without inosines (mlCOIintF/LoboR1) and for the <abbrev xlink:title="nuclear small subunit rRNA gene" id="ABBRID0EBAAE">18S</abbrev> V4 region primer. PCR amplification reactions contained 0.3 µM of each primer and 50 ng of template DNA in the case of <abbrev xlink:title="mitochondrial cytochrome oxidase I gene" id="ABBRID0EFAAE">COI</abbrev> amplification and 12.5 ng for <abbrev xlink:title="nuclear small subunit rRNA gene" id="ABBRID0EJAAE">18S</abbrev> V4 amplification, in a total volume of 25 µL. For the other <abbrev xlink:title="mitochondrial cytochrome oxidase I gene" id="ABBRID0ENAAE">COI</abbrev> primer pair (LCO1490/Ill_C_R), PCR reactions were performed using 1× Advantage 2 Polymerase Mix (Clontech, Mountain View, CA, USA), 0.2 µM of each PCR primer and 25 ng of DNA template in a total volume of 25 µL. Second PCR reactions added indexes and sequencing adapters to both ends of the amplified target region (MiSeq Reagent Kit v3 – 600-cycle) according to manufacturer’s recommendations (<xref ref-type="bibr" rid="B33">Illumina 2013</xref>). PCR products were then one-step purified and normalized using SequalPrep 96-well plate kit (ThermoFisher Scientific, Waltham, USA) (<xref ref-type="bibr" rid="B13">Comeau et al. 2017</xref>), pooled and paired-end (2× 300 <abbrev xlink:title="base pairs" id="ABBRID0EZAAE">bp</abbrev>) sequenced in an Illumina MiSeq sequencer with the V3 chemistry, according to manufacturer’s instructions (Illumina, San Diego, CA, USA).</p>
        <p>Negative and positive controls were included in PCR amplification. As positive controls, we used a DNA extract previously tested successfully for PCR. Success of PCR amplification was checked by electrophoresis. No amplification was detected in any of the negative controls from DNA extraction or PCR.</p>
        <p>Amplification failed with the primer mlCOIintF/LoboR1 in the sample of mobile fauna of the granite substrate after 3 months of deployment and, consequently, was not considered for further analysis.</p>
      </sec>
      <sec sec-type="﻿Data processing" id="SECID0E6AAE">
        <title>﻿Data processing</title>
        <p>Raw reads in fastq format generated by MiSeq sequencing were quality-filtered with PRINSEQ version 0.20.4 (<xref ref-type="bibr" rid="B67">Schmieder and Edwards 2011</xref>). Sequencing adapters and reads with less than 100 <abbrev xlink:title="base pairs" id="ABBRID0EJBAE">bp</abbrev> (for the <abbrev xlink:title="mitochondrial cytochrome oxidase I gene" id="ABBRID0ENBAE">COI</abbrev> region) and with less than 150 <abbrev xlink:title="base pairs" id="ABBRID0ERBAE">bp</abbrev> (for the <abbrev xlink:title="nuclear small subunit rRNA gene" id="ABBRID0EVBAE">18S</abbrev> V4 region) were removed. Bases with an average quality lower than Q25 in a sliding window of 5 bases were trimmed. Then, the filtered forward and reverse reads obtained were merged (make.contigs function, default alignment) by overlapping paired-end reads in mothur 1.39.5 (<xref ref-type="bibr" rid="B66">Schloss et al. 2009</xref>; <xref ref-type="bibr" rid="B40">Kozich et al. 2013</xref>), and primers were removed (trim.seqs function, default).</p>
        <p>The usable reads were then processed in two pipelines of public databases: a) <abbrev xlink:title="mitochondrial cytochrome oxidase I gene" id="ABBRID0EDCAE">COI</abbrev> reads were submitted to mBrave – Multiplex Barcode Research and Visualization Environment (<ext-link xlink:type="simple" ext-link-type="uri" xlink:href="http://www.mbrave.net">www.mbrave.net</ext-link>; <xref ref-type="bibr" rid="B63">Ratnasingham 2019</xref>), using the sample batch function which is linked with BOLD (<xref ref-type="bibr" rid="B64">Ratnasingham and Hebert 2007</xref>); b) <abbrev xlink:title="nuclear small subunit rRNA gene" id="ABBRID0EUCAE">18S</abbrev> reads were analyzed in SILVAngs database (<ext-link ext-link-type="uri" xlink:href="https://ngs.arb-silva.de/silvangs/" xlink:type="simple">https://ngs.arb-silva.de/silvangs/</ext-link>; <xref ref-type="bibr" rid="B59">Quast et al. 2013</xref>).</p>
        <p>In mBrave, since primer sequences were previously removed in mothur, only the trimming by length was applied (maximum 313 <abbrev xlink:title="base pairs" id="ABBRID0ECDAE">bp</abbrev> for mlCOIintF/LoboR1 and 325 <abbrev xlink:title="base pairs" id="ABBRID0EGDAE">bp</abbrev> for LCO1490/Ill_C_R; minimum 150 <abbrev xlink:title="base pairs" id="ABBRID0EKDAE">bp</abbrev>) and only reads with minimum quality value (<abbrev xlink:title="quality value" id="ABBRID0EODAE">QV</abbrev>) higher than 10 were kept. This filtering step allowed for a max of 25% nucleotides with &lt;20 <abbrev xlink:title="quality value" id="ABBRID0ESDAE">QV</abbrev> value and max 25% nucleotides with &lt;10 <abbrev xlink:title="quality value" id="ABBRID0EWDAE">QV</abbrev> value. Reads were then taxonomically assigned at species level using a 97% similarity threshold against BOLD database that includes several publicly available reference libraries for marine invertebrates of the northeast Atlantic (e.g. <xref ref-type="bibr" rid="B32">Hollatz et al. 2017</xref>; <xref ref-type="bibr" rid="B42">Leite et al. 2020</xref>; <xref ref-type="bibr" rid="B76">Vieira et al. 2021</xref>).</p>
        <p>Output fasta files produced in mothur for the <abbrev xlink:title="nuclear small subunit rRNA gene" id="ABBRID0EIEAE">18S</abbrev> marker were then processed by the amplicon analysis pipeline of the SILVA project (SILVAngs 1.4; <xref ref-type="bibr" rid="B59">Quast et al. 2013</xref>). Each read was aligned using the SILVA Incremental Aligner (SINA v1.2.10 for ARB SVN (revision 21008); <xref ref-type="bibr" rid="B58">Pruesse et al. 2012</xref>) against the SILVA SSU rRNA SEED and quality controlled (<xref ref-type="bibr" rid="B59">Quast et al. 2013</xref>). Reads shorter than 150 aligned nucleotides and reads with more than 2% of ambiguities or homopolymers were excluded from further processing. Putative contaminations and artefacts, reads with a low alignment quality (50 alignment identity, 40 alignment score reported by SINA), were identified and excluded from downstream analysis. After these initial steps, identical reads were identified (dereplicated), the unique reads were clustered (OTUs), on a per sample basis, and the reference read of each OTU was classified. Dereplication and clustering was done using VSEARCH (version 2.15.1; <ext-link ext-link-type="uri" xlink:href="https://github.com/torognes/vsearch" xlink:type="simple">https://github.com/torognes/vsearch</ext-link>; <xref ref-type="bibr" rid="B65">Rognes et al. 2016</xref>) applying identity criteria of 1.00 and 0.99, respectively. The classification was performed by a local nucleotide BLAST search against the non-redundant version of the SILVA SSU Ref dataset (release 138.1; <ext-link ext-link-type="uri" xlink:href="http://www.arb-silva.de" xlink:type="simple">http://www.arb-silva.de</ext-link>) using blastn (version 2.2.30+; <ext-link ext-link-type="uri" xlink:href="http://blast.ncbi.nlm.nih.gov/Blast.cgi" xlink:type="simple">http://blast.ncbi.nlm.nih.gov/Blast.cgi</ext-link>) with standard settings (<xref ref-type="bibr" rid="B7">Camacho et al. 2009</xref>). The classification of each OTU reference read was mapped onto all reads that were assigned to the respective OTU using a 99% similarity threshold. Reads without any classification or reads with weak BLAST hits, where the function “(% sequence identity + % alignment coverage)/2” did not exceed the value of 99, remain unclassified. These reads were assigned to “No Taxonomic Match”.</p>
        <p>For both markers, only reads with match at species level were used for further analysis, and taxonomic assignments with less than 8 sequences were discarded. Any read that matched to non-metazoan was also excluded. The validity of the species names was verified in the World Register of Marine Species (<abbrev xlink:title="World Register of Marine Species" id="ABBRID0EOFAE">WoRMS</abbrev>) database (<xref ref-type="bibr" rid="B80">WoRMS Editorial Board 2021</xref>). The obtained reads were analyzed separately for mobile and sessile fauna samples, and then combined for data analysis.</p>
      </sec>
      <sec sec-type="﻿Revision of the species’ matches accuracy and comparison of the representativeness of the detected species in the two databases" id="SECID0EWFAE">
        <title>﻿Revision of the species’ matches accuracy and comparison of the representativeness of the detected species in the two databases</title>
        <p>Incongruences in genetic databases are an ongoing problem that can affect taxonomic assignments (<xref ref-type="bibr" rid="B31">Hleap et al. 2021</xref>). Although some efforts have been developed to solve this issue (e.g. <xref ref-type="bibr" rid="B24">Fontes et al. 2021</xref>; <xref ref-type="bibr" rid="B61">Radulovici et al. 2021</xref>), incongruences still persist in genetic databases. To have a broad-range of representativeness and maximize results, the taxonomic assignment was made using the full genetic databases (i.e. BOLD and SILVA) and not a curated in-house reference library. However, the confidence and accuracy in the taxonomic assignments can be compromised. For that reason, we reviewed individually each species match to assess the reliability of the taxonomic assignments. Discordances were carefully inspected and if they were possible to resolve (e.g. synonyms, clear cases of misidentification), the most probable identification was kept.</p>
        <p>We then assessed the presence of representative sequences of all the species detected in the present study in BOLD and SILVA. Failed detection by one marker may simply have occurred because that particular species was not present in the respective reference database. However, if a species was present in both databases, but was only detected by one marker, that would be an indication of probable PCR amplification failure of the marker that failed detection. All the available <abbrev xlink:title="mitochondrial cytochrome oxidase I gene" id="ABBRID0EKGAE">COI</abbrev> sequences matching the detected species names were mined from BOLD using BAGS (<xref ref-type="bibr" rid="B24">Fontes et al. 2021</xref>). To assess which species have representative sequences in SILVA, all the <tp:taxon-name><tp:taxon-name-part taxon-name-part-type="kingdom">Animalia</tp:taxon-name-part></tp:taxon-name> records were mined directly from the database (version 138.1). A species was considered represented if at least one sequence was available.</p>
      </sec>
      <sec sec-type="﻿Molecular markers comparison" id="SECID0EXGAE">
        <title>﻿Molecular markers comparison</title>
        <p>The proportion of species with overlapping or exclusive detections by each primer pair and marker was determined for all substrates and sampling time combinations, using Venn diagrams (<ext-link ext-link-type="uri" xlink:href="http://www.venndiagrams.net/" xlink:type="simple">http://www.venndiagrams.net/</ext-link>). For each primer pair the distribution of species among high-rank taxonomic groups (e.g. order or phyla) was displayed through barplots (GraphPad Software, Inc.).</p>
        <p>To identify clusters of data objects (species level identifications) in the dataset, the unsupervised machine learning k-means was applied, in the presence/absence matrix of the global species detected by primer pairs and markers, which groups the data without prior categories. The optimal number of clusters was determined with the elbow (fviz_nbclust, method = “wss” function) and silhouette (silhouette function) analysis. The analyses were performed (kmeans function) and visualized (fviz_cluster function) in R with the packages “cluster” (<xref ref-type="bibr" rid="B50">Maechler et al. 2019</xref>), “factoextra” (<xref ref-type="bibr" rid="B37">Kassambara and Mundt 2020</xref>) and “stats” (<xref ref-type="bibr" rid="B60">R core team 2020</xref>) as default.</p>
      </sec>
    </sec>
    <sec sec-type="﻿Results" id="SECID0EPHAE">
      <title>﻿Results</title>
      <sec sec-type="﻿Effect of marker and primer choice on species detection" id="SECID0ETHAE">
        <title>﻿Effect of marker and primer choice on species detection</title>
        <p>High-throughput sequencing of marine macroinvertebrate samples, for both markers and three primer pairs, generated a total of 2,956,328 raw reads. Following bioinformatic processing, a total of 2,356,818 reads were retained (Table <xref ref-type="table" rid="T2">2</xref>). Of these, 55.6% were assigned to a marine macroinvertebrate species: 46.8% using mlCOIintF/LoboR1, 36.6% with LCO1490/Ill_C_R and 16.6% with TAReuk454FWD1/TAReukREV3 (Suppl. material <xref ref-type="supplementary-material" rid="S2">2</xref>: Table S2). Of the remaining reads, 0.1% were rare OTUs (&lt;8 reads) and 44.3% could not be assigned to macrozoobenthic species or to a metazoan phylum.</p>
        <table-wrap id="T2" position="float" orientation="portrait">
          <label>Table 2.</label>
          <caption>
            <p>Total number of sequences generated in Illumina MiSeq high-throughput sequencing (raw reads), retained along processing steps of the bioinformatics pipeline (primers removal, demultiplex and quality filter), and assigned to taxonomic groups for each primer pair (mlCOIintF/LoboR1; LCO1490/Ill_C_R; TAReuk454FWD1/TAReukREV3).</p>
          </caption>
          <table id="TID0E4EBI" rules="all">
            <tbody>
              <tr>
                <th rowspan="2" colspan="1"/>
                <th rowspan="1" colspan="6">Primer pairs</th>
              </tr>
              <tr>
                <th rowspan="1" colspan="2">mlCOIintF/LoboR1</th>
                <th rowspan="1" colspan="2">LCO1490/Ill_C_R</th>
                <th rowspan="1" colspan="2">TAReuk454FWD1/TAReukREV3</th>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">Raw reads</td>
                <td rowspan="1" colspan="1">1110851</td>
                <td rowspan="1" colspan="1">100,00%</td>
                <td rowspan="1" colspan="1">945639</td>
                <td rowspan="1" colspan="1">100,00%</td>
                <td rowspan="1" colspan="1">899838</td>
                <td rowspan="1" colspan="1">100,00%</td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">First quality-filter*</td>
                <td rowspan="1" colspan="1">953733</td>
                <td rowspan="1" colspan="1">85,86%</td>
                <td rowspan="1" colspan="1">808234</td>
                <td rowspan="1" colspan="1">85,47%</td>
                <td rowspan="1" colspan="1">594851</td>
                <td rowspan="1" colspan="1">66,11%</td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">After filtering**</td>
                <td rowspan="1" colspan="1">953704</td>
                <td rowspan="1" colspan="1">85,85%</td>
                <td rowspan="1" colspan="1">798645</td>
                <td rowspan="1" colspan="1">84,46%</td>
                <td rowspan="1" colspan="1">581220</td>
                <td rowspan="1" colspan="1">64,59%</td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">Usable sequences***</td>
                <td rowspan="1" colspan="1">869015</td>
                <td rowspan="1" colspan="1">78,23%</td>
                <td rowspan="1" colspan="1">587794</td>
                <td rowspan="1" colspan="1">62,16%</td>
                <td rowspan="1" colspan="1">411782</td>
                <td rowspan="1" colspan="1">45,76%</td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">
                  <tp:taxon-name>
                    <tp:taxon-name-part taxon-name-part-type="subkingdom">Metazoa</tp:taxon-name-part>
                  </tp:taxon-name>
                </td>
                <td rowspan="1" colspan="1">655097</td>
                <td rowspan="1" colspan="1">68,69%</td>
                <td rowspan="1" colspan="1">579857</td>
                <td rowspan="1" colspan="1">61,32%</td>
                <td rowspan="1" colspan="1">218416</td>
                <td rowspan="1" colspan="1">24,27%</td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">No taxonomic match****</td>
                <td rowspan="1" colspan="1">41641</td>
                <td rowspan="1" colspan="1">3,75%</td>
                <td rowspan="1" colspan="1">99367</td>
                <td rowspan="1" colspan="1">10,51%</td>
                <td rowspan="1" colspan="1">193366</td>
                <td rowspan="1" colspan="1">21,49%</td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">&lt;8 sequences*****</td>
                <td rowspan="1" colspan="1">287</td>
                <td rowspan="1" colspan="1">0,03%</td>
                <td rowspan="1" colspan="1">281</td>
                <td rowspan="1" colspan="1">0,03%</td>
                <td rowspan="1" colspan="1">986</td>
                <td rowspan="1" colspan="1">0,11%</td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">Species level taxonomic assignment</td>
                <td rowspan="1" colspan="1">613169</td>
                <td rowspan="1" colspan="1">55,20%</td>
                <td rowspan="1" colspan="1">480209</td>
                <td rowspan="1" colspan="1">50,78%</td>
                <td rowspan="1" colspan="1">217430</td>
                <td rowspan="1" colspan="1">24,16%</td>
              </tr>
            </tbody>
          </table>
          <table-wrap-foot>
            <fn>
              <p>* primers removal, demultiplex and quality filter. ** Filtered reads: rejected sequences based on length, presence of ambiguities and homopolymers, putative contaminations and artifacts. *** Reads submitted for taxonomic assignment. **** Reads without taxonomic classification at species level at ≥97% for <abbrev xlink:title="mitochondrial cytochrome oxidase I gene" id="ABBRID0E3OAE">COI</abbrev> primers and ≥99% for <abbrev xlink:title="nuclear small subunit rRNA gene" id="ABBRID0EAPAE">18S</abbrev> V4. *****Matches at species level, however, with &lt;8 sequences per identification.</p>
            </fn>
          </table-wrap-foot>
        </table-wrap>
        <p>From the three types of artificial substrates sampled at four different deployment periods (12 samples), the three primer pairs were able to identify a total of 161 species, distributed by 9 taxonomic groups: <tp:taxon-name><tp:taxon-name-part taxon-name-part-type="phylum">Annelida</tp:taxon-name-part></tp:taxon-name>, <tp:taxon-name><tp:taxon-name-part taxon-name-part-type="phylum">Bryozoa</tp:taxon-name-part></tp:taxon-name>, <tp:taxon-name><tp:taxon-name-part taxon-name-part-type="subphylum">Crustacea</tp:taxon-name-part></tp:taxon-name>, <tp:taxon-name><tp:taxon-name-part taxon-name-part-type="phylum">Echinodermata</tp:taxon-name-part></tp:taxon-name>, <tp:taxon-name><tp:taxon-name-part taxon-name-part-type="class">Hydrozoa</tp:taxon-name-part></tp:taxon-name>, <tp:taxon-name><tp:taxon-name-part taxon-name-part-type="phylum">Mollusca</tp:taxon-name-part></tp:taxon-name>, <tp:taxon-name><tp:taxon-name-part taxon-name-part-type="phylum">Nemertea</tp:taxon-name-part></tp:taxon-name>, <tp:taxon-name><tp:taxon-name-part taxon-name-part-type="phylum">Platyhelminthes</tp:taxon-name-part></tp:taxon-name> and <tp:taxon-name><tp:taxon-name-part taxon-name-part-type="subphylum">Tunicata</tp:taxon-name-part></tp:taxon-name> (species names and the associated taxonomic group displayed in Suppl. material <xref ref-type="supplementary-material" rid="S2">2</xref>: Table S3). The number of species detected was similar between primer pairs, with the primer pair TAReuk454FWD1/TAReukREV3 (<abbrev xlink:title="nuclear small subunit rRNA gene" id="ABBRID0E2QAE">18S</abbrev> V4 region) retrieving a total of 77 species, whereas among the <abbrev xlink:title="mitochondrial cytochrome oxidase I gene" id="ABBRID0E6QAE">COI</abbrev> primer pairs, mlCOIintF/LoboR1 allowed the detection of more species than LCO1490/Ill_C_R (84 species and 63 species, respectively).</p>
        <p>The applied primers also differed in their efficiency to recover particular taxonomic groups (Fig. <xref ref-type="fig" rid="F1">1</xref>). In the case of <abbrev xlink:title="mitochondrial cytochrome oxidase I gene" id="ABBRID0EJRAE">COI</abbrev> primer pairs, <tp:taxon-name><tp:taxon-name-part taxon-name-part-type="subphylum">Crustacea</tp:taxon-name-part></tp:taxon-name>, <tp:taxon-name><tp:taxon-name-part taxon-name-part-type="phylum">Mollusca</tp:taxon-name-part></tp:taxon-name> and <tp:taxon-name><tp:taxon-name-part taxon-name-part-type="phylum">Annelida</tp:taxon-name-part></tp:taxon-name> were the taxa with higher species diversity (77.3% for mlCOIintF/LoboR1 and 79.7% for LCO1490/Ill_C_R), while for TAReuk454FWD1/TAReukREV3 the most represented taxonomic groups were <tp:taxon-name><tp:taxon-name-part taxon-name-part-type="phylum">Annelida</tp:taxon-name-part></tp:taxon-name>, <tp:taxon-name><tp:taxon-name-part taxon-name-part-type="phylum">Mollusca</tp:taxon-name-part></tp:taxon-name>, <tp:taxon-name><tp:taxon-name-part taxon-name-part-type="phylum">Bryozoa</tp:taxon-name-part></tp:taxon-name> and <tp:taxon-name><tp:taxon-name-part taxon-name-part-type="class">Hydrozoa</tp:taxon-name-part></tp:taxon-name> (79% of the total detected taxa). Furthermore, whereas <tp:taxon-name><tp:taxon-name-part taxon-name-part-type="subphylum">Tunicata</tp:taxon-name-part></tp:taxon-name> and <tp:taxon-name><tp:taxon-name-part taxon-name-part-type="phylum">Platyhelminthes</tp:taxon-name-part></tp:taxon-name> were only detected by <abbrev xlink:title="nuclear small subunit rRNA gene" id="ABBRID0E1SAE">18S</abbrev>, <tp:taxon-name><tp:taxon-name-part taxon-name-part-type="phylum">Mollusca</tp:taxon-name-part></tp:taxon-name> and <tp:taxon-name><tp:taxon-name-part taxon-name-part-type="subphylum">Crustacea</tp:taxon-name-part></tp:taxon-name> had more species identified with <abbrev xlink:title="mitochondrial cytochrome oxidase I gene" id="ABBRID0EITAE">COI</abbrev> primers.</p>
        <fig id="F1" position="float" orientation="portrait">
          <object-id content-type="arpha">778A4FA4-B57F-555F-9EF5-5ED15B8CB8CD</object-id>
          <label>Figure 1.</label>
          <caption>
            <p>Taxonomic profile of the marine macroinvertebrate species detected in the substrates by each primer pair.</p>
          </caption>
          <graphic xlink:href="mbmg-05-e70063-g001.jpg" position="float" orientation="portrait" xlink:type="simple" id="oo_628584.jpg">
            <uri content-type="original_file">https://binary.pensoft.net/fig/628584</uri>
          </graphic>
        </fig>
        <p>A higher species richness was detected consistently at seven months for all primer pairs in the three substrates. The species detected by each primer pair, and also the taxonomic groups, were different between primers and markers in the four sampling times and between substrates (Suppl. material <xref ref-type="supplementary-material" rid="S1">1</xref>: Fig. S4).</p>
        <p>If the combined number of detected species by the two <abbrev xlink:title="mitochondrial cytochrome oxidase I gene" id="ABBRID0EEUAE">COI</abbrev> primer pairs is used, the <abbrev xlink:title="nuclear small subunit rRNA gene" id="ABBRID0EIUAE">18S</abbrev> V4 region retrieved less taxa than <abbrev xlink:title="mitochondrial cytochrome oxidase I gene" id="ABBRID0EMUAE">COI</abbrev> (77 species vs 107 species, respectively). Both elbow and silhouette analysis retrieved two as the optimal number of k (i.e. two clusters; Suppl. material <xref ref-type="supplementary-material" rid="S1">1</xref>: Fig. S5). Two well segregated groups (Fig. <xref ref-type="fig" rid="F2">2</xref>) with no overlap were retrieved, one corresponding to the data belonging to <abbrev xlink:title="mitochondrial cytochrome oxidase I gene" id="ABBRID0E3UAE">COI</abbrev> and other to <abbrev xlink:title="nuclear small subunit rRNA gene" id="ABBRID0EAVAE">18S</abbrev> detected species.</p>
        <fig id="F2" position="float" orientation="portrait">
          <object-id content-type="arpha">DB86350C-D3EF-5EDF-A460-CFDED74350B5</object-id>
          <label>Figure 2.</label>
          <caption>
            <p>Best fitting number of clusters (k=2) using the unsupervised machine learning k-means for the combined identifications of marine macrozoobenthic species using both <abbrev xlink:title="mitochondrial cytochrome oxidase I gene" id="ABBRID0EMVAE">COI</abbrev>-primers (<abbrev xlink:title="mitochondrial cytochrome oxidase I gene" id="ABBRID0EQVAE">COI</abbrev> – red) and the <abbrev xlink:title="nuclear small subunit rRNA gene" id="ABBRID0EUVAE">18S</abbrev>-primer (<abbrev xlink:title="nuclear small subunit rRNA gene" id="ABBRID0EYVAE">18S</abbrev> – blue), in the three sampling times (3M – 3 months; 7M – 7 months; 10M – 10 months; 15M – 15 months) and the three artificial substrates (Sla – slate; <abbrev xlink:title="polyvinyl chloride" id="ABBRID0E3VAE">PVC</abbrev>; Gra – granite).</p>
          </caption>
          <graphic xlink:href="mbmg-05-e70063-g002.jpg" position="float" orientation="portrait" xlink:type="simple" id="oo_628585.jpg">
            <uri content-type="original_file">https://binary.pensoft.net/fig/628585</uri>
          </graphic>
        </fig>
        <p>The two molecular markers and the three primer pairs used were highly complementary in their ability to detect marine macroinvertebrate species (Fig. <xref ref-type="fig" rid="F3">3</xref>). Among the detected species, only 8.1% were common to the three primer pairs and 68.9% were exclusively recovered by one primer: 21.7% for mlCOIinF/LoboR1, 13.7% for LCO1490/Ill_C_R and 33.5% for TAReuk454FWD1/TAReukREV3. For <abbrev xlink:title="mitochondrial cytochrome oxidase I gene" id="ABBRID0ELWAE">COI</abbrev>-primers, <tp:taxon-name><tp:taxon-name-part taxon-name-part-type="subphylum">Crustacea</tp:taxon-name-part></tp:taxon-name> was the taxon with more species exclusively detected by mlCOIintF/LoboR1 (45.7% of the species), whereas for LCO1490/Ill_C_R was <tp:taxon-name><tp:taxon-name-part taxon-name-part-type="phylum">Mollusca</tp:taxon-name-part></tp:taxon-name> (50% of the species). For the <abbrev xlink:title="nuclear small subunit rRNA gene" id="ABBRID0EZWAE">18S</abbrev> primer pair, 65.5% of the exclusively detected species were <tp:taxon-name><tp:taxon-name-part taxon-name-part-type="phylum">Annelida</tp:taxon-name-part></tp:taxon-name> (31.2%), <tp:taxon-name><tp:taxon-name-part taxon-name-part-type="phylum">Mollusca</tp:taxon-name-part></tp:taxon-name> (14.8%) and <tp:taxon-name><tp:taxon-name-part taxon-name-part-type="phylum">Bryozoa</tp:taxon-name-part></tp:taxon-name> (18.5%).</p>
        <fig id="F3" position="float" orientation="portrait">
          <object-id content-type="arpha">6AECD50B-719B-57AD-91A7-47B62EC60541</object-id>
          <label>Figure 3.</label>
          <caption>
            <p>Partitioning of the marine macroinvertebrate species detection for (A) both marker loci and (B) primer pair, in the three substrate types and among all sampling times.</p>
          </caption>
          <graphic xlink:href="mbmg-05-e70063-g003.jpg" position="float" orientation="portrait" xlink:type="simple" id="oo_628586.jpg">
            <uri content-type="original_file">https://binary.pensoft.net/fig/628586</uri>
          </graphic>
        </fig>
      </sec>
      <sec sec-type="﻿Availability of reference sequences on public databases" id="SECID0EYXAE">
        <title>﻿Availability of reference sequences on public databases</title>
        <p>Considering a total of 161 marine macroinvertebrate species detected combining together the results of <abbrev xlink:title="nuclear small subunit rRNA gene" id="ABBRID0E5XAE">18S</abbrev> V4 and the two <abbrev xlink:title="mitochondrial cytochrome oxidase I gene" id="ABBRID0ECYAE">COI</abbrev> primers, we evaluated the taxonomic coverage in the respective databases, namely mBrave for <abbrev xlink:title="mitochondrial cytochrome oxidase I gene" id="ABBRID0EGYAE">COI</abbrev> and SILVA for <abbrev xlink:title="nuclear small subunit rRNA gene" id="ABBRID0EKYAE">18S</abbrev> V4. As much as 18% of the species still lack representative sequences of <abbrev xlink:title="mitochondrial cytochrome oxidase I gene" id="ABBRID0EOYAE">COI</abbrev> and 28% of the V4 region of the <abbrev xlink:title="nuclear small subunit rRNA gene" id="ABBRID0ESYAE">18S</abbrev> rRNA gene (Fig. <xref ref-type="fig" rid="F4">4</xref>). While <tp:taxon-name><tp:taxon-name-part taxon-name-part-type="subphylum">Crustacea</tp:taxon-name-part></tp:taxon-name> was the taxonomic group with the higher number of missing sequences in SILVA (38% of the total crustacean species detected), in BOLD, <tp:taxon-name><tp:taxon-name-part taxon-name-part-type="phylum">Bryozoa</tp:taxon-name-part></tp:taxon-name> was the group with more species missing <abbrev xlink:title="mitochondrial cytochrome oxidase I gene" id="ABBRID0EEZAE">COI</abbrev> sequences (42% of the total bryozoans species detected).</p>
        <fig id="F4" position="float" orientation="portrait">
          <object-id content-type="arpha">17F6AE9B-2AA5-53BF-BDDC-21DCDAA3D2E4</object-id>
          <label>Figure 4.</label>
          <caption>
            <p>Availability of reference sequences of <abbrev xlink:title="mitochondrial cytochrome oxidase I gene" id="ABBRID0EQZAE">COI</abbrev> and <abbrev xlink:title="nuclear small subunit rRNA gene" id="ABBRID0EUZAE">18S</abbrev> V4 for each taxonomic group of marine macroinvertebrate species detected with the three primer pairs from <abbrev xlink:title="mitochondrial cytochrome oxidase I gene" id="ABBRID0EYZAE">COI</abbrev> and <abbrev xlink:title="nuclear small subunit rRNA gene" id="ABBRID0E3ZAE">18S</abbrev> genes. Barcode coverage with at least one sequence per species (black bar).</p>
          </caption>
          <graphic xlink:href="mbmg-05-e70063-g004.jpg" position="float" orientation="portrait" xlink:type="simple" id="oo_628587.jpg">
            <uri content-type="original_file">https://binary.pensoft.net/fig/628587</uri>
          </graphic>
        </fig>
        <p>Since taxonomic assignment can be affected by incongruences in genetic databases, a manual inspection of the taxonomic assignments may be advisable to more accurately compare results. Overall, the fair majority of the species assignments (94%) appear to have a high level of certainty (Suppl. material <xref ref-type="supplementary-material" rid="S2">2</xref>: Table S3). There were only a minority of cases where species could not be confidently discriminated with currently available data (e.g. <italic>Turritopsis nutricula/T. dohrnii</italic>).</p>
      </sec>
    </sec>
    <sec sec-type="﻿Discussion" id="SECID0ER1AE">
      <title>﻿Discussion</title>
      <p>DNA metabarcoding-based biomonitoring of aquatic communities would benefit from the establishment of standardized approaches (<xref ref-type="bibr" rid="B5">Blackman et al. 2019</xref>; <xref ref-type="bibr" rid="B18">Duarte et al. 2021</xref>; <xref ref-type="bibr" rid="B27">Gielings et al. 2021</xref>), which would enable direct inter-study comparisons, broader implementation and greater scientific gains. Choice of marker and primer pairs to employ is a critical decision in DNA metabarcoding, that depends on the goals of the study, targeted communities and aimed rank of taxonomic assignment (<xref ref-type="bibr" rid="B74">van der Loos and Nijland 2020</xref>; <xref ref-type="bibr" rid="B18">Duarte et al. 2021</xref>). Although criteria of choice such as practical efficiency and cost-effectiveness would favor finding the “best” single primer pair that fits a particular study, our results indicated that, when the goal is to assess as comprehensively as possible the species composition of a marine macrozoobenthic sample, the ideal primer pair may be hard to find. Both biased primer affinity for the DNA templates and gaps in species representativeness in reference databases appear to concur for this difficulty.</p>
      <p>Together, the three primer pairs used in this study enabled the detection of a fair number of macrozoobenthic species. Quantitatively, the <abbrev xlink:title="nuclear small subunit rRNA gene" id="ABBRID0EN2AE">18S</abbrev> V4 region and the two <abbrev xlink:title="mitochondrial cytochrome oxidase I gene" id="ABBRID0ER2AE">COI</abbrev> primer pairs displayed similar ability to detect marine macroinvertebrate species. However, considering the high complementarity in the species recovered between these markers, the choice of the best performing primer was not obvious. Similar <abbrev xlink:title="mitochondrial cytochrome oxidase I gene" id="ABBRID0EV2AE">COI</abbrev> – <abbrev xlink:title="nuclear small subunit rRNA gene" id="ABBRID0EZ2AE">18S</abbrev> comparisons described in the literature report somewhat distinct and even contradictory results. For example, DNA metabarcoding studies using mock zooplankton communities demonstrated different taxonomic recovery ability between <abbrev xlink:title="mitochondrial cytochrome oxidase I gene" id="ABBRID0E42AE">COI</abbrev> and <abbrev xlink:title="nuclear small subunit rRNA gene" id="ABBRID0EB3AE">18S</abbrev>: whereas one of the studies detected similar patterns of species detection ability among markers (<xref ref-type="bibr" rid="B10">Clarke et al. 2017</xref>), the other reported higher detection efficiency with <abbrev xlink:title="nuclear small subunit rRNA gene" id="ABBRID0EJ3AE">18S</abbrev> V4 region than with <abbrev xlink:title="mitochondrial cytochrome oxidase I gene" id="ABBRID0EN3AE">COI</abbrev>, and with higher levels of overlapping between markers (<xref ref-type="bibr" rid="B81">Zhang et al. 2018</xref>). Contrary to these results, in a study using marine hard-bottom communities the authors showed that using <abbrev xlink:title="mitochondrial cytochrome oxidase I gene" id="ABBRID0EV3AE">COI</abbrev> (Leray-XT) they were able to recover four times more diversity than using <abbrev xlink:title="nuclear small subunit rRNA gene" id="ABBRID0EZ3AE">18S</abbrev> region (V7) (<xref ref-type="bibr" rid="B78">Wangensteen et al. 2018</xref>). However, a direct comparison with our study is limited given the employment of different primers, reference libraries and thresholds. The differences obtained for the <abbrev xlink:title="nuclear small subunit rRNA gene" id="ABBRID0EB4AE">18S</abbrev> V4 region in assignment for some taxonomic groups could be related to more conserved sequences in priming regions (<xref ref-type="bibr" rid="B73">Tang et al. 2012</xref>; <xref ref-type="bibr" rid="B6">Brown et al. 2015</xref>). In addition, taxonomic discrimination efficiency of the targeted marker loci, possible mismatches between primer and DNA template or difficulties in primer affinity for specific taxa can be possible reasons for the obtained differences between primers and marker region in amplification efficiency.</p>
      <p>The significant complementarity observed between the two molecular markers, with each single marker capturing at the very best approximately 66% of the detected species in a sample, revealed that, by using only one marker, a fair portion of the marine macroinvertebrate species may fail detection. Both markers detected different communities, raising high concerns for monitoring studies, since the biodiversity detected will be different and many species may be overlooked due to methodological steps only. For example, while isopods were only detected by <abbrev xlink:title="mitochondrial cytochrome oxidase I gene" id="ABBRID0EP4AE">COI</abbrev>, platyhelminthes and tunicates were exclusively detected by <abbrev xlink:title="nuclear small subunit rRNA gene" id="ABBRID0ET4AE">18S</abbrev> V4. Although few metabarcoding studies compared the performance of molecular markers on species recovery (<xref ref-type="bibr" rid="B16">Dowle et al. 2015</xref>; <xref ref-type="bibr" rid="B17">Drummond et al. 2015</xref>), our results are generally consistent with previous findings in marine invertebrate communities (<xref ref-type="bibr" rid="B78">Wangensteen et al. 2018</xref>), where high levels of complementarity at species level between these markers were reported. Since our goal is to capture the widest possible diversity of macrozoobenthic species, compared to using a single molecular marker, the combination of a multi-locus strategy improves the number of retrieved species, which we recommend as the best practice to be used in marine macroinvertebrates assessments.</p>
      <p>Regarding the two primer pairs from the <abbrev xlink:title="mitochondrial cytochrome oxidase I gene" id="ABBRID0EF5AE">COI</abbrev> barcode region, although we observed a similar number of species globally detected by each primer (84 vs 63 species), they diverge qualitatively in the species detected (41% of the species exclusively detected with mlCOIintF/LoboR and 21% in LCO1490/Ill_C_R), hence this should be the main criteria to consider in order to maximize the scope of species detection. The efficiency of different <abbrev xlink:title="mitochondrial cytochrome oxidase I gene" id="ABBRID0EJ5AE">COI</abbrev>-primers in macroinvertebrates assessment has been already compared in previous studies (<xref ref-type="bibr" rid="B32">Hollatz et al. 2017</xref>; <xref ref-type="bibr" rid="B49">Lobo et al. 2017</xref>; <xref ref-type="bibr" rid="B34">Ip et al. 2019</xref>; <xref ref-type="bibr" rid="B15">Derycke et al. 2020</xref>), however not always reaching the same conclusions. Different methodologies adopted in different studies may explain the discrepancies in the results (e.g.: PCR thermal cycling regimes, sequencing depths, informatics platforms, clustering and threshold values, reference libraries). Our results emphasize that using a single primer pair for the <abbrev xlink:title="mitochondrial cytochrome oxidase I gene" id="ABBRID0E45AE">COI</abbrev> region will result in a fair amount of undetected diversity of marine zoobenthic taxa. Therefore, we suggest the simultaneous employment of at least two primer pairs to improve the efficiency of the taxonomic diversity recovery.</p>
      <p>The three primer pairs used in this study were able to detect marine macroinvertebrate species in every sampling time, all of them consistently pointing to a higher species diversity after seven months of deployment of the substrates. These results highlight the benefit of the application of a multiple primer pair and multi-locus strategy for ecological assessments of marine species, since if we had only used one primer pair or marker we would have failed to detect important macrobenthic taxa, and the taxonomic composition of the community could emerge substantially different. Temporal and seasonal changes in a community could affect the potential of DNA-based species monitoring, especially when methodological bias originated by amplification procedures (choice of marker loci and primer pairs) could influence ecological interpretations (<xref ref-type="bibr" rid="B10">Clarke et al. 2017</xref>).</p>
      <p>We performed an assessment of the availability of representative sequences for all species detected in this study in each of the reference databases employed, namely BOLD and SILVA, respectively for <abbrev xlink:title="mitochondrial cytochrome oxidase I gene" id="ABBRID0EJ6AE">COI</abbrev> and <abbrev xlink:title="nuclear small subunit rRNA gene" id="ABBRID0EN6AE">18S</abbrev> V4 markers. This enabled us to verify if the detection of a species by one marker, and not by the other, could be attributed to gaps in the library of the latter or, if no gap was found, it could be ascribed to faulty amplification. A sizable but minor proportion of gaps was recorded for both markers (18% for <abbrev xlink:title="mitochondrial cytochrome oxidase I gene" id="ABBRID0ER6AE">COI</abbrev> and 28% for <abbrev xlink:title="nuclear small subunit rRNA gene" id="ABBRID0EV6AE">18S</abbrev> V4). The incompleteness, and possible inaccuracies of databases may explain some of the species detected exclusively by one marker, as for example, the flatworm <italic><tp:taxon-name><tp:taxon-name-part taxon-name-part-type="genus" reg="Vorticeros">Vorticeros</tp:taxon-name-part> <tp:taxon-name-part taxon-name-part-type="species" reg="auriculatum">auriculatum</tp:taxon-name-part></tp:taxon-name></italic>, a species detected by <abbrev xlink:title="nuclear small subunit rRNA gene" id="ABBRID0EFAAG">18S</abbrev> V4 that does not have representatives in BOLD. On other hand, some of the detected species with reference sequences in both databases were only detected by one marker (e.g. the tunicate <italic><tp:taxon-name><tp:taxon-name-part taxon-name-part-type="genus" reg="Asterocarpa">Asterocarpa</tp:taxon-name-part> <tp:taxon-name-part taxon-name-part-type="species" reg="humilis">humilis</tp:taxon-name-part></tp:taxon-name></italic>, undetected with <abbrev xlink:title="mitochondrial cytochrome oxidase I gene" id="ABBRID0EUAAG">COI</abbrev> despite having representative sequences in BOLD). Considering the complete <abbrev xlink:title="nuclear small subunit rRNA gene" id="ABBRID0EYAAG">18S</abbrev> rRNA gene, the target region we selected should not be the main reason for failed detections, since V4 is reported to have high amplification success (<xref ref-type="bibr" rid="B6">Brown et al. 2015</xref>; <xref ref-type="bibr" rid="B43">Lejzerowicz et al. 2015</xref>; <xref ref-type="bibr" rid="B81">Zhang et al. 2018</xref>) and demonstrated to have a better performance on taxonomic assignments than other <abbrev xlink:title="nuclear small subunit rRNA gene" id="ABBRID0EIBAG">18S</abbrev> regions (<xref ref-type="bibr" rid="B22">Fais et al. 2020b</xref>). However, since these primers failed to detect some species, this was probably due to faulty amplification or reduced resolution of taxonomic assignments. Indeed, although <abbrev xlink:title="mitochondrial cytochrome oxidase I gene" id="ABBRID0EQBAG">COI</abbrev>-based monitoring approaches may claim the advantage of having a verified and dedicated database for a large variety of taxa (<xref ref-type="bibr" rid="B56">Porter and Hajibabaei 2020</xref>), several studies already reported the existence of significant gaps in reference libraries particularly for dominant marine macrobenthic taxa (<xref ref-type="bibr" rid="B79">Weigand et al. 2019</xref>: 20% to 30% of completion of databases for dominant groups, i.e. <tp:taxon-name><tp:taxon-name-part taxon-name-part-type="phylum">Annelida</tp:taxon-name-part></tp:taxon-name>, <tp:taxon-name><tp:taxon-name-part taxon-name-part-type="phylum">Mollusca</tp:taxon-name-part></tp:taxon-name> and <tp:taxon-name><tp:taxon-name-part taxon-name-part-type="phylum">Arthropoda</tp:taxon-name-part></tp:taxon-name>), including for the region that comprised the geographic area of the current study (<xref ref-type="bibr" rid="B42">Leite et al. 2020</xref>: 49% for <tp:taxon-name><tp:taxon-name-part taxon-name-part-type="phylum">Mollusca</tp:taxon-name-part></tp:taxon-name>, 53% for <tp:taxon-name><tp:taxon-name-part taxon-name-part-type="subphylum">Crustacea</tp:taxon-name-part></tp:taxon-name> and 16% for <tp:taxon-name><tp:taxon-name-part taxon-name-part-type="class">Polychaeta</tp:taxon-name-part></tp:taxon-name>). Hence, although the availability of sequences or reference libraries does not appear to have been the main factor affecting species detection, it revealed that more investment should be allocated to obtain reliable reference sequences to enhance species assignment accuracy, in order to recover the taxonomic composition of a target community as complete as possible.</p>
      <p>Globally, these results highlight the influence of marker and primer pair complementarity on the ability to record marine macrozoobenthic species through metabarcoding. For future high-throughput assessments using DNA metabarcoding approaches, we recommend combining molecular markers and, if possible, multiple primer pairs, to increase the power of species detections and the accuracy of biodiversity assessments, thereby yielding more comprehensive and reliable results for marine macroinvertebrate monitoring.</p>
    </sec>
    <sec sec-type="﻿Author contributions" id="SECID0E6CAG">
      <title>﻿Author contributions</title>
      <p>Conceptualization: B.R.L., J.S.T. and F.O.C.; Methodology: B.R.L and P.E.V.; Formal analysis: B.R.L. and P.E.V.; Data curation: B.R.L and P.E.V.; Writing – original draft: B.R.L. and F.O.C.; Writing – review and editing: B.R.L., P.E.V., J.S.T. and F.O.C.; Visualization: B.R.L. and P.E.V. Supervision: J.S.T. and F.O.C. All authors have read and agreed to the published version of the manuscript.</p>
    </sec>
  </body>
  <back>
    <ack>
      <title>﻿Acknowledgements</title>
      <p>This work was supported by the project ATLANTIDA – Platform for the monitoring of the North Atlantic Ocean and tools for the sustainable exploitation of the marine resources, with the reference NORTE-01-0145-FEDER-000040, co-financed by the European Regional Development Fund (ERDF), through Programa Operacional Regional do Norte (NORTE 2020). BRL benefitted from an FCT fellowship PD/BD/127994/2016. The authors would like to thank Sofia Duarte (University of Minho) for the availability and support during practical stages of the research.</p>
    </ack>
    <ref-list>
      <title>﻿References</title>
      <ref id="B1">
        <mixed-citation xlink:type="simple"><person-group><name name-style="western"><surname>Andújar</surname><given-names>C</given-names></name><name name-style="western"><surname>Arribas</surname><given-names>P</given-names></name><name name-style="western"><surname>Yu</surname><given-names>DW</given-names></name><name name-style="western"><surname>Vogler</surname><given-names>AP</given-names></name><name name-style="western"><surname>Emerson</surname><given-names>BC</given-names></name></person-group> (<year>2018</year>) <article-title>Why the COI barcode should be the community DNA metabarcode for the metazoa.</article-title><source>Molecular Ecology</source><volume>27</volume>: <fpage>3968</fpage>–<lpage>3975</lpage>. <ext-link xlink:type="simple" ext-link-type="doi" xlink:href="10.1111/mec.14844">https://doi.org/10.1111/mec.14844</ext-link></mixed-citation>
      </ref>
      <ref id="B2">
        <mixed-citation xlink:type="simple"><person-group><name name-style="western"><surname>Atienza</surname><given-names>S</given-names></name><name name-style="western"><surname>Guardiola</surname><given-names>M</given-names></name><name name-style="western"><surname>Præbel</surname><given-names>K</given-names></name><name name-style="western"><surname>Antich</surname><given-names>A</given-names></name><name name-style="western"><surname>Turon</surname><given-names>X</given-names></name><name name-style="western"><surname>Wangensteen</surname><given-names>OS</given-names></name></person-group> (<year>2020</year>) <article-title>DNA metabarcoding of deep-sea sediment communities using COI: community assessment, spatio-temporal patterns and comparison with 18S rDNA.</article-title><source>Diversity</source><volume>12</volume>(<issue>4</issue>): <fpage>123</fpage>. <ext-link xlink:type="simple" ext-link-type="doi" xlink:href="10.3390/d12040123">https://doi.org/10.3390/d12040123</ext-link></mixed-citation>
      </ref>
      <ref id="B3">
        <mixed-citation xlink:type="simple"><person-group><name name-style="western"><surname>Aylagas</surname><given-names>E</given-names></name><name name-style="western"><surname>Borja</surname><given-names>Á</given-names></name><name name-style="western"><surname>Muxika</surname><given-names>I</given-names></name><name name-style="western"><surname>Rodríguez-Ezpeleta</surname><given-names>N</given-names></name></person-group> (<year>2018</year>) <article-title>Adapting metabarcoding-based benthic biomonitoring into routine marine ecological status assessment networks.</article-title><source>Ecological Indicators</source><volume>95</volume>: <fpage>194</fpage>–<lpage>202</lpage>. <ext-link xlink:type="simple" ext-link-type="doi" xlink:href="10.1016/j.ecolind.2018.07.044">https://doi.org/10.1016/j.ecolind.2018.07.044</ext-link></mixed-citation>
      </ref>
      <ref id="B4">
        <mixed-citation xlink:type="simple"><person-group><name name-style="western"><surname>Bista</surname><given-names>I</given-names></name><name name-style="western"><surname>Carvalho</surname><given-names>GR</given-names></name><name name-style="western"><surname>Tang</surname><given-names>M</given-names></name><name name-style="western"><surname>Walsh</surname><given-names>K</given-names></name><name name-style="western"><surname>Zhou</surname><given-names>X</given-names></name><name name-style="western"><surname>Hajibabaei</surname><given-names>M</given-names></name><name name-style="western"><surname>Shokralla</surname><given-names>S</given-names></name><name name-style="western"><surname>Seymour</surname><given-names>M</given-names></name><name name-style="western"><surname>Bradley</surname><given-names>D</given-names></name><name name-style="western"><surname>Liu</surname><given-names>S</given-names></name><name name-style="western"><surname>Christmas</surname><given-names>M</given-names></name><name name-style="western"><surname>Creer</surname><given-names>S</given-names></name></person-group> (<year>2018</year>) <article-title>Performance of amplicon and shotgun sequencing for accurate biomass estimation in invertebrate community samples.</article-title><source>Molecular Ecology Resources</source><volume>18</volume>: <fpage>1020</fpage>–<lpage>1034</lpage>. <ext-link xlink:type="simple" ext-link-type="doi" xlink:href="10.1111/1755-0998.12888">https://doi.org/10.1111/1755-0998.12888</ext-link></mixed-citation>
      </ref>
      <ref id="B5">
        <mixed-citation xlink:type="simple"><person-group><name name-style="western"><surname>Blackman</surname><given-names>RC</given-names></name><name name-style="western"><surname>Mächler</surname><given-names>E</given-names></name><name name-style="western"><surname>Altermatt</surname><given-names>F</given-names></name><name name-style="western"><surname>Arnold</surname><given-names>A</given-names></name><name name-style="western"><surname>Beja</surname><given-names>P</given-names></name><name name-style="western"><surname>Boets</surname><given-names>P</given-names></name><name name-style="western"><surname>Egeter</surname><given-names>B</given-names></name><name name-style="western"><surname>Elbrecht</surname><given-names>V</given-names></name><name name-style="western"><surname>Filipe</surname><given-names>AF</given-names></name><name name-style="western"><surname>Jones</surname><given-names>JI</given-names></name><name name-style="western"><surname>Macher</surname><given-names>J</given-names></name><name name-style="western"><surname>Majaneva</surname><given-names>M</given-names></name><name name-style="western"><surname>Martins</surname><given-names>FMS</given-names></name><name name-style="western"><surname>Murria</surname><given-names>C</given-names></name><name name-style="western"><surname>Meissner</surname><given-names>K</given-names></name><name name-style="western"><surname>Pawlowski</surname><given-names>J</given-names></name><name name-style="western"><surname>Schmidt</surname><given-names>Y</given-names></name><name name-style="western"><surname>Paul</surname><given-names>L</given-names></name><name name-style="western"><surname>Zizka</surname><given-names>VMA</given-names></name><name name-style="western"><surname>Leese</surname><given-names>F</given-names></name><name name-style="western"><surname>Price</surname><given-names>BW</given-names></name><name name-style="western"><surname>Deiner</surname><given-names>K</given-names></name></person-group> (<year>2019</year>) Advancing the use of molecular methods for routine freshwater macroinvertebrate bio­monitoring–the need for calibration experiments. Metabarcoding and Metagenomics 3: e34735. <ext-link xlink:type="simple" ext-link-type="doi" xlink:href="10.3897/mbmg.3.34735">https://doi.org/10.3897/mbmg.3.34735</ext-link></mixed-citation>
      </ref>
      <ref id="B6">
        <mixed-citation xlink:type="simple"><person-group><name name-style="western"><surname>Brown</surname><given-names>EA</given-names></name><name name-style="western"><surname>Chain</surname><given-names>FJJ</given-names></name><name name-style="western"><surname>Crease</surname><given-names>TJ</given-names></name><name name-style="western"><surname>MacIsaac</surname><given-names>HJ</given-names></name><name name-style="western"><surname>Cristescu</surname><given-names>ME</given-names></name></person-group> (<year>2015</year>) Divergence thresholds and divergent biodiversity estimates: Can metabarcoding reliably describe zooplankton communities? Ecology and Evolution 5: 2234–2251. <ext-link xlink:type="simple" ext-link-type="doi" xlink:href="10.1002/ece3.1485">https://doi.org/10.1002/ece3.1485</ext-link></mixed-citation>
      </ref>
      <ref id="B7">
        <mixed-citation xlink:type="simple"><person-group><name name-style="western"><surname>Camacho</surname><given-names>C</given-names></name><name name-style="western"><surname>Coulouris</surname><given-names>G</given-names></name><name name-style="western"><surname>Avagyan</surname><given-names>V</given-names></name><name name-style="western"><surname>Ma</surname><given-names>N</given-names></name><name name-style="western"><surname>Papadopoulos</surname><given-names>J</given-names></name><name name-style="western"><surname>Bealer</surname><given-names>K</given-names></name><name name-style="western"><surname>Madden</surname><given-names>T</given-names></name></person-group> (<year>2009</year>) BLAST+: architecture and applications. BMC Bioinformatics 10: e421. <ext-link xlink:type="simple" ext-link-type="doi" xlink:href="10.1186/1471-2105-10-421">https://doi.org/10.1186/1471-2105-10-421</ext-link></mixed-citation>
      </ref>
      <ref id="B8">
        <mixed-citation xlink:type="simple"><person-group><name name-style="western"><surname>Castro</surname><given-names>LR</given-names></name><name name-style="western"><surname>Meyer</surname><given-names>RS</given-names></name><name name-style="western"><surname>Shapiro</surname><given-names>B</given-names></name><name name-style="western"><surname>Shirazi</surname><given-names>S</given-names></name><name name-style="western"><surname>Cutler</surname><given-names>S</given-names></name><name name-style="western"><surname>Lagos</surname><given-names>AM</given-names></name><name name-style="western"><surname>Quirosa</surname><given-names>SY</given-names></name></person-group> (<year>2021</year>) <article-title>Metabarcoding meiofauna biodiversity assessment in four beaches of Northern Colombia: effects of sampling protocols and primer choice.</article-title><source>Hydrobiologia</source><volume>848</volume>: <fpage>3407</fpage>–<lpage>3426</lpage>. <ext-link xlink:type="simple" ext-link-type="doi" xlink:href="10.1007/s10750-021-04576-z">https://doi.org/10.1007/s10750-021-04576-z</ext-link></mixed-citation>
      </ref>
      <ref id="B9">
        <mixed-citation xlink:type="simple"><person-group><name name-style="western"><surname>Chang</surname><given-names>JJM</given-names></name><name name-style="western"><surname>Ip</surname><given-names>YCA</given-names></name><name name-style="western"><surname>Bauman</surname><given-names>AG</given-names></name><name name-style="western"><surname>Huang</surname><given-names>D</given-names></name></person-group> (<year>2020</year>) MinION-in-ARMS: Nanopore sequencing to expedite barcoding of specimen-rich macrofaunal samples from Autonomous Reef Monitoring Structures. Frontiers in Marine Science 7: e448. <ext-link xlink:type="simple" ext-link-type="doi" xlink:href="10.3389/fmars.2020.00448">https://doi.org/10.3389/fmars.2020.00448</ext-link></mixed-citation>
      </ref>
      <ref id="B10">
        <mixed-citation xlink:type="simple"><person-group><name name-style="western"><surname>Clarke</surname><given-names>LJ</given-names></name><name name-style="western"><surname>Beard</surname><given-names>JM</given-names></name><name name-style="western"><surname>Swadling</surname><given-names>KM</given-names></name><name name-style="western"><surname>Deagle</surname><given-names>BE</given-names></name></person-group> (<year>2017</year>) <article-title>Effect of marker choice and thermal cycling protocol on zooplankton DNA metabarcoding studies.</article-title><source>Ecology and Evolution</source><volume>7</volume>(<issue>3</issue>): <fpage>873</fpage>–<lpage>883</lpage>. <ext-link xlink:type="simple" ext-link-type="doi" xlink:href="10.1002/ece3.2667">https://doi.org/10.1002/ece3.2667</ext-link></mixed-citation>
      </ref>
      <ref id="B11">
        <mixed-citation xlink:type="simple"><person-group><name name-style="western"><surname>Clarke</surname><given-names>LJ</given-names></name><name name-style="western"><surname>Soubrier</surname><given-names>J</given-names></name><name name-style="western"><surname>Weyrich</surname><given-names>LS</given-names></name><name name-style="western"><surname>Cooper</surname><given-names>A</given-names></name></person-group> (<year>2014</year>) <article-title>Environmental metabarcodes for insects: <italic>in silico</italic> PCR reveals potential for taxonomic bias.</article-title><source>Molecular Ecology Resources</source><volume>14</volume>: <fpage>1160</fpage>–<lpage>1170</lpage>. <ext-link xlink:type="simple" ext-link-type="doi" xlink:href="10.1111/1755-0998.12265">https://doi.org/10.1111/1755-0998.12265</ext-link></mixed-citation>
      </ref>
      <ref id="B12">
        <mixed-citation xlink:type="simple"><person-group><name name-style="western"><surname>Collins</surname><given-names>RA</given-names></name><name name-style="western"><surname>Bakker</surname><given-names>J</given-names></name><name name-style="western"><surname>Wangensteen</surname><given-names>OS</given-names></name><name name-style="western"><surname>Soto</surname><given-names>AZ</given-names></name><name name-style="western"><surname>Corrigan</surname><given-names>L</given-names></name><name name-style="western"><surname>Sims</surname><given-names>DW</given-names></name><name name-style="western"><surname>Genner</surname><given-names>MJ</given-names></name><name name-style="western"><surname>Mariani</surname><given-names>S</given-names></name></person-group> (<year>2019</year>) <article-title>Non‐specific amplification compromises environmental DNA metabarcoding with COI.</article-title><source>Methods in Ecology and Evolution</source><volume>10</volume>(<issue>11</issue>): <fpage>1985</fpage>–<lpage>2001</lpage>. <ext-link xlink:type="simple" ext-link-type="doi" xlink:href="10.1111/2041-210X.13276">https://doi.org/10.1111/2041-210X.13276</ext-link></mixed-citation>
      </ref>
      <ref id="B13">
        <mixed-citation xlink:type="simple"><person-group><name name-style="western"><surname>Comeau</surname><given-names>AM</given-names></name><name name-style="western"><surname>Douglas</surname><given-names>GM</given-names></name><name name-style="western"><surname>Langille</surname><given-names>MGI</given-names></name></person-group> (<year>2017</year>) Microbiome Helper: a custom and streamlined workflow for microbiome research. mSystems 2: e00127-16. <ext-link xlink:type="simple" ext-link-type="doi" xlink:href="10.1128/mSystems.00127-16">https://doi.org/10.1128/mSystems.00127-16</ext-link></mixed-citation>
      </ref>
      <ref id="B14">
        <mixed-citation xlink:type="simple"><person-group><name name-style="western"><surname>Cowart</surname><given-names>DA</given-names></name><name name-style="western"><surname>Pinheiro</surname><given-names>M</given-names></name><name name-style="western"><surname>Mouchel</surname><given-names>O</given-names></name><name name-style="western"><surname>Maguer</surname><given-names>M</given-names></name><name name-style="western"><surname>Grall</surname><given-names>J</given-names></name><name name-style="western"><surname>Miné</surname><given-names>J</given-names></name><name name-style="western"><surname>Arnaud-Haond</surname><given-names>S</given-names></name></person-group> (<year>2015</year>) Metabarcoding is powerful yet still blind: A comparative analysis of morphological and molecular surveys of seagrass communities. PLoS ONE 10(2): e0117562. <ext-link xlink:type="simple" ext-link-type="doi" xlink:href="10.1371/journal.pone.0117562">https://doi.org/10.1371/journal.pone.0117562</ext-link></mixed-citation>
      </ref>
      <ref id="B15">
        <mixed-citation xlink:type="simple"><person-group><name name-style="western"><surname>Derycke</surname><given-names>S</given-names></name><name name-style="western"><surname>Maes</surname><given-names>S</given-names></name><name name-style="western"><surname>van den Bulcke</surname><given-names>L</given-names></name><name name-style="western"><surname>Vanhollebeke</surname><given-names>J</given-names></name><name name-style="western"><surname>Wittoeck</surname><given-names>J</given-names></name><name name-style="western"><surname>Hillewaert</surname><given-names>H</given-names></name><name name-style="western"><surname>Ampe</surname><given-names>B</given-names></name><name name-style="western"><surname>Haegeman</surname><given-names>A</given-names></name><name name-style="western"><surname>Hostens</surname><given-names>K</given-names></name><name name-style="western"><surname>de Backer</surname><given-names>A</given-names></name></person-group> (<year>2020</year>) Optimization of metabarcoding for monitoring marine macrobenthos: primer choice and morphological traits determine species detection in bulk DNA and eDNA from the ethanol preservative. Authorea. <ext-link xlink:type="simple" ext-link-type="doi" xlink:href="10.22541/au.159665093.39993653">https://doi.org/10.22541/au.159665093.39993653</ext-link></mixed-citation>
      </ref>
      <ref id="B16">
        <mixed-citation xlink:type="simple"><person-group><name name-style="western"><surname>Dowle</surname><given-names>EJ</given-names></name><name name-style="western"><surname>Pochon</surname><given-names>X</given-names></name><name name-style="western"><surname>Banks</surname><given-names>J</given-names></name><name name-style="western"><surname>Shearer</surname><given-names>K</given-names></name><name name-style="western"><surname>Wood</surname><given-names>SA</given-names></name></person-group> (<year>2015</year>) <article-title>Targeted gene enrichment and high throughput sequencing for environmental biomonitoring: a case study using freshwater macroinvertebrates.</article-title><source>Molecular Ecology Resources</source><volume>16</volume>(<issue>5</issue>): <fpage>1240</fpage>–<lpage>1254</lpage>. <ext-link xlink:type="simple" ext-link-type="doi" xlink:href="10.1111/1755-0998.12488">https://doi.org/10.1111/1755-0998.12488</ext-link></mixed-citation>
      </ref>
      <ref id="B17">
        <mixed-citation xlink:type="simple"><person-group><name name-style="western"><surname>Drummond</surname><given-names>AJ</given-names></name><name name-style="western"><surname>Newcomb</surname><given-names>RD</given-names></name><name name-style="western"><surname>Buckley</surname><given-names>TR</given-names></name><name name-style="western"><surname>Xie</surname><given-names>D</given-names></name><name name-style="western"><surname>Dopheide</surname><given-names>A</given-names></name><name name-style="western"><surname>Potter</surname><given-names>BCM</given-names></name><name name-style="western"><surname>Heled</surname><given-names>J</given-names></name><name name-style="western"><surname>Ross</surname><given-names>HA</given-names></name><name name-style="western"><surname>Tooman</surname><given-names>L</given-names></name><name name-style="western"><surname>Grosser</surname><given-names>S</given-names></name><name name-style="western"><surname>Park</surname><given-names>D</given-names></name><name name-style="western"><surname>Demetras</surname><given-names>NJ</given-names></name><name name-style="western"><surname>Stevens</surname><given-names>MI</given-names></name><name name-style="western"><surname>Russell</surname><given-names>JC</given-names></name><name name-style="western"><surname>Anderson</surname><given-names>SH</given-names></name><name name-style="western"><surname>Carter</surname><given-names>A</given-names></name><name name-style="western"><surname>Nelson</surname><given-names>N</given-names></name></person-group> (<year>2015</year>) Evaluating a multigene environmental DNA approach for biodiversity assessment. Gigascience 4(1): s13742-015. <ext-link xlink:type="simple" ext-link-type="doi" xlink:href="10.1186/s13742-015-0086-1">https://doi.org/10.1186/s13742-015-0086-1</ext-link></mixed-citation>
      </ref>
      <ref id="B18">
        <mixed-citation xlink:type="simple"><person-group><name name-style="western"><surname>Duarte</surname><given-names>S</given-names></name><name name-style="western"><surname>Leite</surname><given-names>BR</given-names></name><name name-style="western"><surname>Feio</surname><given-names>MJ</given-names></name><name name-style="western"><surname>Costa</surname><given-names>FO</given-names></name><name name-style="western"><surname>Filipe</surname><given-names>AF</given-names></name></person-group> (<year>2021</year>) <article-title>Integration of DNA-based approaches in aquatic ecological assessment using benthic macroinvertebrates.</article-title><source>Water</source><volume>13</volume>(<issue>3</issue>): <fpage>331</fpage>. <ext-link xlink:type="simple" ext-link-type="doi" xlink:href="10.3390/w13030331">https://doi.org/10.3390/w13030331</ext-link></mixed-citation>
      </ref>
      <ref id="B19">
        <mixed-citation xlink:type="simple"><person-group><name name-style="western"><surname>Elbrecht</surname><given-names>V</given-names></name><name name-style="western"><surname>Braukmann</surname><given-names>TWA</given-names></name><name name-style="western"><surname>Ivanova</surname><given-names>NV</given-names></name><name name-style="western"><surname>Prosser</surname><given-names>SWJ</given-names></name><name name-style="western"><surname>Hajibabaei</surname><given-names>M</given-names></name><name name-style="western"><surname>Wright</surname><given-names>M</given-names></name><name name-style="western"><surname>Zakharov</surname><given-names>EV</given-names></name><name name-style="western"><surname>Hebert</surname><given-names>PDN</given-names></name><name name-style="western"><surname>Steinke</surname><given-names>D</given-names></name></person-group> (<year>2019</year>) Validation of COI metabarcoding primers for terrestrial arthropods. PeerJ 7: e7745. <ext-link xlink:type="simple" ext-link-type="doi" xlink:href="10.7717/peerj.7745">https://doi.org/10.7717/peerj.7745</ext-link></mixed-citation>
      </ref>
      <ref id="B20">
        <mixed-citation xlink:type="simple"><person-group><name name-style="western"><surname>Elbrecht</surname><given-names>V</given-names></name><name name-style="western"><surname>Leese</surname><given-names>F</given-names></name></person-group> (<year>2017</year>) <article-title>Validation and development of COI metabarcoding primers for freshwater macroinvertebrate bioassessment.</article-title><source>Frontiers in Environmental Science</source><volume>5</volume>: <fpage>1</fpage>–<lpage>11</lpage>. <ext-link xlink:type="simple" ext-link-type="doi" xlink:href="10.3389/fenvs.2017.00011">https://doi.org/10.3389/fenvs.2017.00011</ext-link></mixed-citation>
      </ref>
      <ref id="B21">
        <mixed-citation xlink:type="simple"><person-group><name name-style="western"><surname>Fais</surname><given-names>M</given-names></name><name name-style="western"><surname>Bellisario</surname><given-names>B</given-names></name><name name-style="western"><surname>Duarte</surname><given-names>S</given-names></name><name name-style="western"><surname>Vieira</surname><given-names>PE</given-names></name><name name-style="western"><surname>Sousa</surname><given-names>R</given-names></name><name name-style="western"><surname>Canchaya</surname><given-names>C</given-names></name><name name-style="western"><surname>Costa</surname><given-names>FO</given-names></name></person-group> (<year>2020a</year>) Meiofauna metabarcoding in Lima estuary (Portugal) suggests high taxon replacement within a background of network stability. Regional Studies in Marine Science 38: 101341. <ext-link xlink:type="simple" ext-link-type="doi" xlink:href="10.1016/j.rsma.2020.101341">https://doi.org/10.1016/j.rsma.2020.101341</ext-link></mixed-citation>
      </ref>
      <ref id="B22">
        <mixed-citation xlink:type="simple"><person-group><name name-style="western"><surname>Fais</surname><given-names>M</given-names></name><name name-style="western"><surname>Duarte</surname><given-names>S</given-names></name><name name-style="western"><surname>Vieira</surname><given-names>PE</given-names></name><name name-style="western"><surname>Sousa</surname><given-names>R</given-names></name><name name-style="western"><surname>Hajibabaei</surname><given-names>M</given-names></name><name name-style="western"><surname>Canchaya</surname><given-names>C</given-names></name><name name-style="western"><surname>Costa</surname><given-names>FO</given-names></name></person-group> (<year>2020b</year>) Small-scale spatial variation of meiofaunal communities in Lima estuary (NW Portugal) assessed through metabarcoding. Estuarine, Coastal and Shelf Science 238: 106683. <ext-link xlink:type="simple" ext-link-type="doi" xlink:href="10.1016/j.ecss.2020.106683">https://doi.org/10.1016/j.ecss.2020.106683</ext-link></mixed-citation>
      </ref>
      <ref id="B23">
        <mixed-citation xlink:type="simple"><person-group><name name-style="western"><surname>Folmer</surname><given-names>O</given-names></name><name name-style="western"><surname>Black</surname><given-names>M</given-names></name><name name-style="western"><surname>Hoeh</surname><given-names>W</given-names></name><name name-style="western"><surname>Lutz</surname><given-names>R</given-names></name><name name-style="western"><surname>Vrijenhoek</surname><given-names>R</given-names></name></person-group> (<year>1994</year>) <article-title>DNA primers for amplification of mitochondrial cytochrome c oxidase subunit I from diverse metazoan invertebrates.</article-title><source>Molecular Marine Biology and Biotechnology</source><volume>3</volume>(<issue>5</issue>): <fpage>294</fpage>–<lpage>299</lpage>.</mixed-citation>
      </ref>
      <ref id="B24">
        <mixed-citation xlink:type="simple"><person-group><name name-style="western"><surname>Fontes</surname><given-names>JT</given-names></name><name name-style="western"><surname>Vieira</surname><given-names>PE</given-names></name><name name-style="western"><surname>Ekrem</surname><given-names>T</given-names></name><name name-style="western"><surname>Soares</surname><given-names>P</given-names></name><name name-style="western"><surname>Costa</surname><given-names>FO</given-names></name></person-group> (<year>2021</year>) <article-title>BAGS: an automated Barcode, Audit &amp; Grade System for DNA barcode reference libraries.</article-title><source>Molecular Ecology Resources</source><volume>21</volume>: <fpage>573</fpage>–<lpage>583</lpage>. <ext-link xlink:type="simple" ext-link-type="doi" xlink:href="10.1111/1755-0998.13262">https://doi.org/10.1111/1755-0998.13262</ext-link></mixed-citation>
      </ref>
      <ref id="B25">
        <mixed-citation xlink:type="simple"><person-group><name name-style="western"><surname>Geller</surname><given-names>J</given-names></name><name name-style="western"><surname>Meyer</surname><given-names>C</given-names></name><name name-style="western"><surname>Parker</surname><given-names>M</given-names></name><name name-style="western"><surname>Hawk</surname><given-names>H</given-names></name></person-group> (<year>2013</year>) <article-title>Redesign of PCR primers for mitochondrial cytochrome c oxidase subunit I for marine invertebrates and application in all-taxa biotic surveys.</article-title><source>Molecular Ecology Resources</source><volume>13</volume>: <fpage>851</fpage>–<lpage>861</lpage>. <ext-link xlink:type="simple" ext-link-type="doi" xlink:href="10.1111/1755-0998.12138">https://doi.org/10.1111/1755-0998.12138</ext-link></mixed-citation>
      </ref>
      <ref id="B26">
        <mixed-citation xlink:type="simple"><person-group><name name-style="western"><surname>Giebner</surname><given-names>H</given-names></name><name name-style="western"><surname>Langen</surname><given-names>K</given-names></name><name name-style="western"><surname>Bourlat</surname><given-names>SJ</given-names></name><name name-style="western"><surname>Kukowka</surname><given-names>S</given-names></name><name name-style="western"><surname>Mayer</surname><given-names>C</given-names></name><name name-style="western"><surname>Astrin</surname><given-names>JJ Misof B</given-names></name><name name-style="western"><surname>Fonseca</surname><given-names>VG</given-names></name></person-group> (<year>2020</year>) <article-title>Comparing diversity levels in environmental samples: DNA sequence capture and metabarcoding approaches using 18S and COI genes.</article-title><source>Molecular Ecology Resources</source><volume>20</volume>(<issue>5</issue>): <fpage>1333</fpage>–<lpage>1345</lpage>. <ext-link xlink:type="simple" ext-link-type="doi" xlink:href="10.1111/1755-0998.13201">https://doi.org/10.1111/1755-0998.13201</ext-link></mixed-citation>
      </ref>
      <ref id="B27">
        <mixed-citation xlink:type="simple"><person-group><name name-style="western"><surname>Gielings</surname><given-names>R</given-names></name><name name-style="western"><surname>Fais</surname><given-names>M</given-names></name><name name-style="western"><surname>Fontaneto</surname><given-names>D</given-names></name><name name-style="western"><surname>Creer</surname><given-names>S</given-names></name><name name-style="western"><surname>Costa</surname><given-names>FO</given-names></name><name name-style="western"><surname>Renema</surname><given-names>W</given-names></name><name name-style="western"><surname>Macher</surname><given-names>JN</given-names></name></person-group> (<year>2021</year>) DNA metabarcoding methods for the study of marine benthic meiofauna: a review. Frontiers in Marine Sciences 8: 730063. <ext-link xlink:type="simple" ext-link-type="doi" xlink:href="10.3389/fmars.2021.730063">https://doi.org/10.3389/fmars.2021.730063</ext-link></mixed-citation>
      </ref>
      <ref id="B28">
        <mixed-citation xlink:type="simple"><person-group><name name-style="western"><surname>Haenel</surname><given-names>Q</given-names></name><name name-style="western"><surname>Holovachov</surname><given-names>O</given-names></name><name name-style="western"><surname>Jondelius</surname><given-names>U</given-names></name><name name-style="western"><surname>Sundberg</surname><given-names>P</given-names></name><name name-style="western"><surname>Bourlat</surname><given-names>S</given-names></name></person-group> (<year>2017</year>) NGS-based biodiversity and community structure analysis of meiofaunal eukaryotes in shell sand from Hållö island, Smögen, and soft mud from Gullmarn Fjord, Sweden. Biodiversity Data Journal 5: e12731. <ext-link xlink:type="simple" ext-link-type="doi" xlink:href="10.3897/BDJ.5.e12731">https://doi.org/10.3897/BDJ.5.e12731</ext-link></mixed-citation>
      </ref>
      <ref id="B29">
        <mixed-citation xlink:type="simple"><person-group><name name-style="western"><surname>Hajibabaei</surname><given-names>M</given-names></name><name name-style="western"><surname>Porter</surname><given-names>TM</given-names></name><name name-style="western"><surname>Wright</surname><given-names>M</given-names></name><name name-style="western"><surname>Rudar</surname><given-names>J</given-names></name></person-group> (<year>2019</year>) COI metabarcoding primer choice affects richness and recovery of indicator taxa in freshwater systems. PLoS ONE 14: e0220953. <ext-link xlink:type="simple" ext-link-type="doi" xlink:href="10.1371/journal.pone.0220953">https://doi.org/10.1371/journal.pone.0220953</ext-link></mixed-citation>
      </ref>
      <ref id="B30">
        <mixed-citation xlink:type="simple"><person-group><name name-style="western"><surname>Hebert</surname><given-names>PDN</given-names></name><name name-style="western"><surname>Cywinska</surname><given-names>A</given-names></name><name name-style="western"><surname>Ball</surname><given-names>SL</given-names></name><name name-style="western"><surname>deWaard</surname><given-names>JR</given-names></name></person-group> (<year>2003</year>) <article-title>Biological identifications through DNA barcodes. Proceedings of the Royal Society of London.</article-title><source>Series B: Biological Sciences</source><volume>270</volume>(<issue>1512</issue>): <fpage>313</fpage>–<lpage>321</lpage>. <ext-link xlink:type="simple" ext-link-type="doi" xlink:href="10.1098/rspb.2002.2218">https://doi.org/10.1098/rspb.2002.2218</ext-link></mixed-citation>
      </ref>
      <ref id="B31">
        <mixed-citation xlink:type="simple"><person-group><name name-style="western"><surname>Hleap</surname><given-names>JS</given-names></name><name name-style="western"><surname>Littlefair</surname><given-names>JE</given-names></name><name name-style="western"><surname>Steinke</surname><given-names>D</given-names></name><name name-style="western"><surname>Hebert</surname><given-names>PDN</given-names></name><name name-style="western"><surname>Cristescu</surname><given-names>ME</given-names></name></person-group> (<year>2021</year>) <article-title>Assessment of current taxonomic assignment strategies for metabarcoding eukaryotes.</article-title><source>Molecular Ecology Resources</source><volume>21</volume>: <fpage>2190</fpage>–<lpage>2203</lpage>. <ext-link xlink:type="simple" ext-link-type="doi" xlink:href="10.1111/1755-0998.13407">https://doi.org/10.1111/1755-0998.13407</ext-link></mixed-citation>
      </ref>
      <ref id="B32">
        <mixed-citation xlink:type="simple"><person-group><name name-style="western"><surname>Hollatz</surname><given-names>C</given-names></name><name name-style="western"><surname>Leite</surname><given-names>BR</given-names></name><name name-style="western"><surname>Lobo</surname><given-names>J</given-names></name><name name-style="western"><surname>Froufe</surname><given-names>H</given-names></name><name name-style="western"><surname>Egas</surname><given-names>C</given-names></name><name name-style="western"><surname>Costa</surname><given-names>FO</given-names></name></person-group> (<year>2017</year>) <article-title>Priming of a DNA metabarcoding approach for species identification and inventory in marine macrobenthic communities.</article-title><source>Genome</source><volume>60</volume>(<issue>3</issue>): <fpage>260</fpage>–<lpage>271</lpage>. <ext-link xlink:type="simple" ext-link-type="doi" xlink:href="10.1139/gen-2015-0220">https://doi.org/10.1139/gen-2015-0220</ext-link></mixed-citation>
      </ref>
      <ref id="B33">
        <mixed-citation xlink:type="simple">Illumina (<year>2013</year>) 16S metagenomic sequencing library preparation guide. <ext-link ext-link-type="uri" xlink:href="https://support.illumina.com/documents/documentation/chemistry_documentation/16s/16s-metagenomic-library-prep-guide-15044223-b.pdf" xlink:type="simple">https://support.illumina.com/documents/documentation/chemistry_documentation/16s/16s-metagenomic-library-prep-guide-15044223-b.pdf</ext-link></mixed-citation>
      </ref>
      <ref id="B34">
        <mixed-citation xlink:type="simple"><person-group><name name-style="western"><surname>Ip</surname><given-names>YCA</given-names></name><name name-style="western"><surname>Tay</surname><given-names>YC</given-names></name><name name-style="western"><surname>Gan</surname><given-names>SX</given-names></name><name name-style="western"><surname>Ang</surname><given-names>HP</given-names></name><name name-style="western"><surname>Tun</surname><given-names>K</given-names></name><name name-style="western"><surname>Chou</surname><given-names>LM</given-names></name><name name-style="western"><surname>Huang</surname><given-names>D</given-names></name><name name-style="western"><surname>Meier</surname><given-names>R</given-names></name></person-group> (<year>2019</year>) From marine park to future genomic observatory? Enhancing marine biodiversity assessments using a biocode approach. Biodiversity Data Journal 7: e46833. <ext-link xlink:type="simple" ext-link-type="doi" xlink:href="10.3897/BDJ.7.e46833">https://doi.org/10.3897/BDJ.7.e46833</ext-link></mixed-citation>
      </ref>
      <ref id="B35">
        <mixed-citation xlink:type="simple"><person-group><name name-style="western"><surname>Ivanova</surname><given-names>NV</given-names></name><name name-style="western"><surname>deWaard</surname><given-names>JR</given-names></name><name name-style="western"><surname>Hebert</surname><given-names>PDN</given-names></name></person-group> (<year>2006</year>) <article-title>An inexpensive, automation-friendly protocol for recovering high-quality DNA.</article-title><source>Molecular Ecology Notes</source><volume>6</volume>: <fpage>998</fpage>–<lpage>1002</lpage>. <ext-link xlink:type="simple" ext-link-type="doi" xlink:href="10.1111/j.1471-8286.2006.01428.x">https://doi.org/10.1111/j.1471-8286.2006.01428.x</ext-link></mixed-citation>
      </ref>
      <ref id="B36">
        <mixed-citation xlink:type="simple"><person-group><name name-style="western"><surname>Jungbluth</surname><given-names>MJ</given-names></name><name name-style="western"><surname>Burns</surname><given-names>J</given-names></name><name name-style="western"><surname>Grimaldo</surname><given-names>L</given-names></name><name name-style="western"><surname>Slaughter</surname><given-names>A</given-names></name><name name-style="western"><surname>Katla</surname><given-names>A</given-names></name><name name-style="western"><surname>Kimmerer</surname><given-names>W</given-names></name></person-group> (<year>2021</year>) <article-title>Feeding habits and novel prey of larval fishes in the northern San Francisco Estuary.</article-title><source>Environmental DNA</source><volume>3</volume>: <fpage>1059</fpage>–<lpage>1080</lpage>. <ext-link xlink:type="simple" ext-link-type="doi" xlink:href="10.1002/edn3.226">https://doi.org/10.1002/edn3.226</ext-link></mixed-citation>
      </ref>
      <ref id="B37">
        <mixed-citation xlink:type="simple"><person-group><name name-style="western"><surname>Kassambara</surname><given-names>A</given-names></name><name name-style="western"><surname>Mundt</surname><given-names>F</given-names></name></person-group> (<year>2020</year>) Factoextra: Extract and visualize the results of multivariate data analyses. R package version 1.0.7. <ext-link ext-link-type="uri" xlink:href="https://CRAN.R-project.org/package=factoextra" xlink:type="simple">https://CRAN.R-project.org/package=factoextra</ext-link></mixed-citation>
      </ref>
      <ref id="B38">
        <mixed-citation xlink:type="simple"><person-group><name name-style="western"><surname>Kebschull</surname><given-names>JM</given-names></name><name name-style="western"><surname>Zador</surname><given-names>AM</given-names></name></person-group> (<year>2015</year>) Sources of PCR-induced distortions in high-throughput sequencing data sets. Nucleic Acids Research 43(21): e143. <ext-link xlink:type="simple" ext-link-type="doi" xlink:href="10.1093/nar/gkv717">https://doi.org/10.1093/nar/gkv717</ext-link></mixed-citation>
      </ref>
      <ref id="B39">
        <mixed-citation xlink:type="simple"><person-group><name name-style="western"><surname>Knittel</surname><given-names>T</given-names></name><name name-style="western"><surname>Picard</surname><given-names>D</given-names></name></person-group> (<year>1993</year>) <article-title>PCR with degenerate primers containing deoxyinosine fails with Pfu DNA polymerase.</article-title><source>Genome Research</source><volume>2</volume>(<issue>4</issue>): <fpage>346</fpage>–<lpage>347</lpage>. <ext-link xlink:type="simple" ext-link-type="doi" xlink:href="10.1101/gr.2.4.346">https://doi.org/10.1101/gr.2.4.346</ext-link></mixed-citation>
      </ref>
      <ref id="B40">
        <mixed-citation xlink:type="simple"><person-group><name name-style="western"><surname>Kozich</surname><given-names>JJ</given-names></name><name name-style="western"><surname>Westcott</surname><given-names>SL</given-names></name><name name-style="western"><surname>Baxter</surname><given-names>NT</given-names></name><name name-style="western"><surname>Highlander</surname><given-names>SK</given-names></name><name name-style="western"><surname>Schloss</surname><given-names>PD</given-names></name></person-group> (<year>2013</year>) <article-title>Development of a dual index sequencing strategy and curation pipeline for analyzing amplicon sequence data on the MiSeq Illumina sequencing platform.</article-title><source>Applied and Environmental Microbiology</source><volume>79</volume>: <fpage>5112</fpage>–<lpage>5120</lpage>. <ext-link xlink:type="simple" ext-link-type="doi" xlink:href="10.1128/AEM.01043-13">https://doi.org/10.1128/AEM.01043-13</ext-link></mixed-citation>
      </ref>
      <ref id="B41">
        <mixed-citation xlink:type="simple"><person-group><name name-style="western"><surname>Kumar</surname><given-names>S</given-names></name><name name-style="western"><surname>Stecher</surname><given-names>G</given-names></name><name name-style="western"><surname>Tamura</surname><given-names>K</given-names></name></person-group> (<year>2016</year>) <article-title>MEGA7: molecular evolutionary genetics analysis version 7.0 for bigger datasets.</article-title><source>Molecular Biology and Evolution</source><volume>33</volume>(<issue>7</issue>): <fpage>1870</fpage>–<lpage>1874</lpage>. <ext-link xlink:type="simple" ext-link-type="doi" xlink:href="10.1093/molbev/msw054">https://doi.org/10.1093/molbev/msw054</ext-link></mixed-citation>
      </ref>
      <ref id="B42">
        <mixed-citation xlink:type="simple"><person-group><name name-style="western"><surname>Leite</surname><given-names>BR</given-names></name><name name-style="western"><surname>Vieira</surname><given-names>PE</given-names></name><name name-style="western"><surname>Teixeira</surname><given-names>MAL</given-names></name><name name-style="western"><surname>Lobo-Arteaga</surname><given-names>J</given-names></name><name name-style="western"><surname>Hollatz</surname><given-names>C</given-names></name><name name-style="western"><surname>Borges</surname><given-names>LMS</given-names></name><name name-style="western"><surname>Duarte</surname><given-names>S</given-names></name><name name-style="western"><surname>Troncoso</surname><given-names>JS</given-names></name><name name-style="western"><surname>Costa</surname><given-names>FO</given-names></name></person-group> (<year>2020</year>) Gap-analysis and annotated reference library for supporting macroinvertebrate metabarcoding in Atlantic Iberia. Regional Studies in Marine Science 36: 101307. <ext-link xlink:type="simple" ext-link-type="doi" xlink:href="10.1016/j.rsma.2020.101307">https://doi.org/10.1016/j.rsma.2020.101307</ext-link></mixed-citation>
      </ref>
      <ref id="B43">
        <mixed-citation xlink:type="simple"><person-group><name name-style="western"><surname>Lejzerowicz</surname><given-names>F</given-names></name><name name-style="western"><surname>Esling</surname><given-names>P</given-names></name><name name-style="western"><surname>Pillet</surname><given-names>L</given-names></name><name name-style="western"><surname>Wilding</surname><given-names>TA</given-names></name><name name-style="western"><surname>Black</surname><given-names>KD</given-names></name><name name-style="western"><surname>Pawlowski</surname><given-names>J</given-names></name></person-group> (<year>2015</year>) High-throughput sequencing and morphology perform equally well for benthic monitoring of marine ecosystems. Scientific Reports 5: 13932. <ext-link xlink:type="simple" ext-link-type="doi" xlink:href="10.1038/srep13932">https://doi.org/10.1038/srep13932</ext-link></mixed-citation>
      </ref>
      <ref id="B44">
        <mixed-citation xlink:type="simple"><person-group><name name-style="western"><surname>Leray</surname><given-names>M</given-names></name><name name-style="western"><surname>Knowlton</surname><given-names>N</given-names></name></person-group> (<year>2015</year>) <article-title>DNA barcoding and metabarcoding of standardized samples reveal patterns of marine benthic diversity.</article-title><source>Proceedings of the National Academy of Sciences</source><volume>112</volume>(<issue>7</issue>): <fpage>2076</fpage>–<lpage>2081</lpage>. <ext-link xlink:type="simple" ext-link-type="doi" xlink:href="10.1073/pnas.1424997112">https://doi.org/10.1073/pnas.1424997112</ext-link></mixed-citation>
      </ref>
      <ref id="B45">
        <mixed-citation xlink:type="simple"><person-group><name name-style="western"><surname>Leray</surname><given-names>M</given-names></name><name name-style="western"><surname>Knowlton</surname><given-names>N</given-names></name></person-group> (<year>2016</year>) <article-title>Censusing marine eukaryotic diversity in the twenty-first century.</article-title><source>Philosophical Transactions of the Royal Society B</source><volume>371</volume>(<issue>1702</issue>): <fpage>20150331</fpage>. <ext-link xlink:type="simple" ext-link-type="doi" xlink:href="10.1098/rstb.2015.0331">https://doi.org/10.1098/rstb.2015.0331</ext-link></mixed-citation>
      </ref>
      <ref id="B46">
        <mixed-citation xlink:type="simple"><person-group><name name-style="western"><surname>Leray</surname><given-names>M</given-names></name><name name-style="western"><surname>Knowlton</surname><given-names>N</given-names></name></person-group> (<year>2017</year>) Random sampling causes the low reproducibility of rare eukaryotic OTUs in Illumina COI metabarcoding. PeerJ 5: e3006. <ext-link xlink:type="simple" ext-link-type="doi" xlink:href="10.7717/peerj.3006">https://doi.org/10.7717/peerj.3006</ext-link></mixed-citation>
      </ref>
      <ref id="B47">
        <mixed-citation xlink:type="simple"><person-group><name name-style="western"><surname>Leray</surname><given-names>M</given-names></name><name name-style="western"><surname>Yang</surname><given-names>JY</given-names></name><name name-style="western"><surname>Meyer</surname><given-names>CP</given-names></name><name name-style="western"><surname>Mills</surname><given-names>SC</given-names></name><name name-style="western"><surname>Agudelo</surname><given-names>N</given-names></name><name name-style="western"><surname>Ranwez</surname><given-names>V</given-names></name><name name-style="western"><surname>Boehm</surname><given-names>JT</given-names></name><name name-style="western"><surname>Machida</surname><given-names>RJ</given-names></name></person-group> (<year>2013</year>) <article-title>A new versatile primer set targeting a short fragment of the mitochondrial COI region for metabarcoding metazoan diversity: Application for characterizing coral reef fish gut contents.</article-title><source>Frontiers in Zoology</source><volume>10</volume>(<issue>1</issue>): <fpage>1</fpage>–<lpage>14</lpage>. <ext-link xlink:type="simple" ext-link-type="doi" xlink:href="10.1186/1742-9994-10-34">https://doi.org/10.1186/1742-9994-10-34</ext-link></mixed-citation>
      </ref>
      <ref id="B48">
        <mixed-citation xlink:type="simple"><person-group><name name-style="western"><surname>Lobo</surname><given-names>J</given-names></name><name name-style="western"><surname>Costa</surname><given-names>PM</given-names></name><name name-style="western"><surname>Teixeira</surname><given-names>MA</given-names></name><name name-style="western"><surname>Ferreira</surname><given-names>MS</given-names></name><name name-style="western"><surname>Costa</surname><given-names>MHC</given-names></name><name name-style="western"><surname>Costa</surname><given-names>FO</given-names></name></person-group> (<year>2013</year>) <article-title>Enhanced primers for amplification of DNA barcodes from a broad range of marine metazoans.</article-title><source>BMC Ecology</source><volume>13</volume>(<issue>1</issue>): <fpage>34</fpage>. <ext-link xlink:type="simple" ext-link-type="doi" xlink:href="10.1186/1472-6785-13-34">https://doi.org/10.1186/1472-6785-13-34</ext-link></mixed-citation>
      </ref>
      <ref id="B49">
        <mixed-citation xlink:type="simple"><person-group><name name-style="western"><surname>Lobo</surname><given-names>J</given-names></name><name name-style="western"><surname>Shokralla</surname><given-names>S</given-names></name><name name-style="western"><surname>Costa</surname><given-names>MH</given-names></name><name name-style="western"><surname>Hajibabaei</surname><given-names>M</given-names></name><name name-style="western"><surname>Costa</surname><given-names>FO</given-names></name></person-group> (<year>2017</year>) DNA metabarcoding for high-throughput monitoring of estuarine macrobenthic communities. Scientific Reports 7: 15618. <ext-link xlink:type="simple" ext-link-type="doi" xlink:href="10.1038/s41598-017-15823-6">https://doi.org/10.1038/s41598-017-15823-6</ext-link></mixed-citation>
      </ref>
      <ref id="B50">
        <mixed-citation xlink:type="simple"><person-group><name name-style="western"><surname>Maechler</surname><given-names>M</given-names></name><name name-style="western"><surname>Rousseeuw</surname><given-names>P</given-names></name><name name-style="western"><surname>Struyf</surname><given-names>A</given-names></name><name name-style="western"><surname>Hubert</surname><given-names>M</given-names></name><name name-style="western"><surname>Hornik</surname><given-names>K</given-names></name></person-group> (<year>2019</year>) cluster: Cluster analysis basics and extensions. R package version 2.1.0.</mixed-citation>
      </ref>
      <ref id="B51">
        <mixed-citation xlink:type="simple"><person-group><name name-style="western"><surname>McGee</surname><given-names>KM</given-names></name><name name-style="western"><surname>Robinson</surname><given-names>CV</given-names></name><name name-style="western"><surname>Hajibabaei</surname><given-names>M</given-names></name></person-group> (<year>2019</year>) Gaps in DNA-based biomonitoring across the globe. Frontiers in Ecology and Evolution 7: 337. <ext-link xlink:type="simple" ext-link-type="doi" xlink:href="10.3389/fevo.2019.00337">https://doi.org/10.3389/fevo.2019.00337</ext-link></mixed-citation>
      </ref>
      <ref id="B52">
        <mixed-citation xlink:type="simple"><person-group><name name-style="western"><surname>Mugnai</surname><given-names>F</given-names></name><name name-style="western"><surname>Meglécz</surname><given-names>E</given-names></name><name name-style="western"><surname>Costantini</surname><given-names>F</given-names></name><name name-style="western"><surname>Abbiati</surname><given-names>M</given-names></name><name name-style="western"><surname>Bavestrello</surname><given-names>G</given-names></name><name name-style="western"><surname>Bertasi</surname><given-names>F</given-names></name><name name-style="western"><surname>Bo</surname><given-names>M</given-names></name><name name-style="western"><surname>Capa</surname><given-names>M</given-names></name><name name-style="western"><surname>Chenuil</surname><given-names>A</given-names></name><name name-style="western"><surname>Colangelo</surname><given-names>MA</given-names></name><name name-style="western"><surname>de Clerck</surname><given-names>O</given-names></name><name name-style="western"><surname>Gutiérrez</surname><given-names>JM</given-names></name><name name-style="western"><surname>Lattanzi</surname><given-names>L</given-names></name><name name-style="western"><surname>Leduc</surname><given-names>M</given-names></name><name name-style="western"><surname>Martin</surname><given-names>D</given-names></name><name name-style="western"><surname>Matterson</surname><given-names>KO</given-names></name><name name-style="western"><surname>Mikac</surname><given-names>B</given-names></name><name name-style="western"><surname>Plaisance</surname><given-names>L</given-names></name><name name-style="western"><surname>Ponti</surname><given-names>M</given-names></name><name name-style="western"><surname>Riesgo</surname><given-names>A</given-names></name><name name-style="western"><surname>Rossi</surname><given-names>V</given-names></name><name name-style="western"><surname>Turicchia</surname><given-names>E</given-names></name><name name-style="western"><surname>Waeschenbach</surname><given-names>A</given-names></name><name name-style="western"><surname>Wangensteen</surname><given-names>OS</given-names></name></person-group> (<year>2021</year>) Are well-studied marine biodiversity hotspots still blackspots for animal barcoding? Global Ecology and Conservation 32: e01909. <ext-link xlink:type="simple" ext-link-type="doi" xlink:href="10.1016/j.gecco.2021.e01909">https://doi.org/10.1016/j.gecco.2021.e01909</ext-link></mixed-citation>
      </ref>
      <ref id="B53">
        <mixed-citation xlink:type="simple"><person-group><name name-style="western"><surname>Nichols</surname><given-names>RV</given-names></name><name name-style="western"><surname>Vollmers</surname><given-names>C</given-names></name><name name-style="western"><surname>Newsom</surname><given-names>LA</given-names></name><name name-style="western"><surname>Wang</surname><given-names>Y</given-names></name><name name-style="western"><surname>Heintzman</surname><given-names>PD</given-names></name><name name-style="western"><surname>Leighton</surname><given-names>M</given-names></name><name name-style="western"><surname>Green</surname><given-names>RE</given-names></name><name name-style="western"><surname>Shapiro</surname><given-names>B</given-names></name></person-group> (<year>2018</year>) <article-title>Minimizing polymerase biases in metabarcoding.</article-title><source>Molecular Ecology Resources</source><volume>18</volume>(<issue>5</issue>): <fpage>927</fpage>–<lpage>939</lpage>. <ext-link xlink:type="simple" ext-link-type="doi" xlink:href="10.1111/1755-0998.12895">https://doi.org/10.1111/1755-0998.12895</ext-link></mixed-citation>
      </ref>
      <ref id="B54">
        <mixed-citation xlink:type="simple"><person-group><name name-style="western"><surname>Piñol</surname><given-names>J</given-names></name><name name-style="western"><surname>Mir</surname><given-names>G</given-names></name><name name-style="western"><surname>Gomez-Polo</surname><given-names>P</given-names></name><name name-style="western"><surname>Agusti</surname><given-names>N</given-names></name></person-group> (<year>2015</year>) <article-title>Universal and blocking primer mismatches limit the use of high-throughput DNA sequencing for the quantitative metabarcoding of arthropods.</article-title><source>Molecular Ecology Resources</source><volume>15</volume>: <fpage>819</fpage>–<lpage>830</lpage>. <ext-link xlink:type="simple" ext-link-type="doi" xlink:href="10.1111/1755-0998.12355">https://doi.org/10.1111/1755-0998.12355</ext-link></mixed-citation>
      </ref>
      <ref id="B55">
        <mixed-citation xlink:type="simple"><person-group><name name-style="western"><surname>Piñol</surname><given-names>J</given-names></name><name name-style="western"><surname>Senar</surname><given-names>MA</given-names></name><name name-style="western"><surname>Symondson</surname><given-names>WOC</given-names></name></person-group> (<year>2019</year>) <article-title>The choice of universal primers and the characteristics of the species mixture determine when DNA metabarcoding can be quantitative.</article-title><source>Molecular Ecology</source><volume>28</volume>: <fpage>407</fpage>–<lpage>419</lpage>. <ext-link xlink:type="simple" ext-link-type="doi" xlink:href="10.1111/mec.14776">https://doi.org/10.1111/mec.14776</ext-link></mixed-citation>
      </ref>
      <ref id="B56">
        <mixed-citation xlink:type="simple"><person-group><name name-style="western"><surname>Porter</surname><given-names>TM</given-names></name><name name-style="western"><surname>Hajibabaei</surname><given-names>M</given-names></name></person-group> (<year>2020</year>) Putting COI metabarcoding in context: the utility of Exact Sequence Variants (ESVs) in biodiversity analysis. Frontiers in Ecology and Evolution 8: 248. <ext-link xlink:type="simple" ext-link-type="doi" xlink:href="10.3389/fevo.2020.00248">https://doi.org/10.3389/fevo.2020.00248</ext-link></mixed-citation>
      </ref>
      <ref id="B57">
        <mixed-citation xlink:type="simple"><person-group><name name-style="western"><surname>Prego</surname><given-names>R</given-names></name><name name-style="western"><surname>Fraga</surname><given-names>F</given-names></name></person-group> (<year>1992</year>) <article-title>A simple model to calculate the residual flows in a Spanish ria. Hydrographic consequences in the Ria of Vigo.</article-title><source>Estuarine Coastal and Shelf Science</source><volume>34</volume>: <fpage>603</fpage>–<lpage>615</lpage>. <ext-link xlink:type="simple" ext-link-type="doi" xlink:href="10.1016/S0272-7714(05)80065-4">https://doi.org/10.1016/S0272-7714(05)80065-4</ext-link></mixed-citation>
      </ref>
      <ref id="B58">
        <mixed-citation xlink:type="simple"><person-group><name name-style="western"><surname>Pruesse</surname><given-names>E</given-names></name><name name-style="western"><surname>Peplies</surname><given-names>J</given-names></name><name name-style="western"><surname>Glöckner</surname><given-names>FO</given-names></name></person-group> (<year>2012</year>) <article-title>SINA: accurate high throughput multiple sequence alignment of ribosomal rna genes.</article-title><source>Bioinformatics</source><volume>28</volume>: <fpage>1823</fpage>–<lpage>1829</lpage>. <ext-link xlink:type="simple" ext-link-type="doi" xlink:href="10.1093/bioinformatics/bts252">https://doi.org/10.1093/bioinformatics/bts252</ext-link></mixed-citation>
      </ref>
      <ref id="B59">
        <mixed-citation xlink:type="simple"><person-group><name name-style="western"><surname>Quast</surname><given-names>C</given-names></name><name name-style="western"><surname>Pruesse</surname><given-names>E</given-names></name><name name-style="western"><surname>Yilmaz</surname><given-names>P</given-names></name><name name-style="western"><surname>Gerken</surname><given-names>J</given-names></name><name name-style="western"><surname>Schweer</surname><given-names>T</given-names></name><name name-style="western"><surname>Yarza</surname><given-names>P</given-names></name><name name-style="western"><surname>Peplies</surname><given-names>J</given-names></name><name name-style="western"><surname>Glockner</surname><given-names>FO</given-names></name></person-group> (<year>2013</year>) The SILVA ribossomal RNA gene database project: improved data processing and web-based tools. Nucleic Acids Research 41(D1): D590–D596. <ext-link xlink:type="simple" ext-link-type="doi" xlink:href="10.1093/nar/gks1219">https://doi.org/10.1093/nar/gks1219</ext-link></mixed-citation>
      </ref>
      <ref id="B60">
        <mixed-citation xlink:type="simple">R Core Team (<year>2020</year>) R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna. <ext-link ext-link-type="uri" xlink:href="https://www.R-project.org/" xlink:type="simple">https://www.R-project.org/</ext-link></mixed-citation>
      </ref>
      <ref id="B61">
        <mixed-citation xlink:type="simple"><person-group><name name-style="western"><surname>Radulovici</surname><given-names>AE</given-names></name><name name-style="western"><surname>Vieira</surname><given-names>PE</given-names></name><name name-style="western"><surname>Duarte</surname><given-names>S</given-names></name><name name-style="western"><surname>Teixeira</surname><given-names>MAL</given-names></name><name name-style="western"><surname>Borges</surname><given-names>LMS</given-names></name><name name-style="western"><surname>Deagle</surname><given-names>B</given-names></name><name name-style="western"><surname>Majaneva</surname><given-names>S</given-names></name><name name-style="western"><surname>Redmond</surname><given-names>N</given-names></name><name name-style="western"><surname>Schultz</surname><given-names>JA</given-names></name><name name-style="western"><surname>Costa</surname><given-names>FO</given-names></name></person-group> (<year>2021</year>) <article-title>Revision and annotation of DNA barcode records for marine invertebrates: report of the 8<sup>th</sup> iBOL conference hackathon.</article-title><source>Metabarcoding &amp; Metagenomics</source><volume>5</volume>: <fpage>207</fpage>–<lpage>217</lpage>. <ext-link xlink:type="simple" ext-link-type="doi" xlink:href="10.3897/mbmg.5.67862">https://doi.org/10.3897/mbmg.5.67862</ext-link></mixed-citation>
      </ref>
      <ref id="B62">
        <mixed-citation xlink:type="simple"><person-group><name name-style="western"><surname>Ransome</surname><given-names>E</given-names></name><name name-style="western"><surname>Geller</surname><given-names>JB</given-names></name><name name-style="western"><surname>Timmers</surname><given-names>M</given-names></name><name name-style="western"><surname>Leray</surname><given-names>M</given-names></name><name name-style="western"><surname>Mahardini</surname><given-names>A</given-names></name><name name-style="western"><surname>Sembiring</surname><given-names>A</given-names></name><name name-style="western"><surname>Collins</surname><given-names>AG</given-names></name><name name-style="western"><surname>Meyer</surname><given-names>CP</given-names></name></person-group> (<year>2017</year>) The importance of standardization for biodiversity comparisons: A case study using autonomous reef monitoring structures (ARMS) and metabarcoding to measure cryptic diversity on Mo’orea coral reefs, French Polynesia. PLoS ONE 12: e0175066. <ext-link xlink:type="simple" ext-link-type="doi" xlink:href="10.1371/journal.pone.0175066">https://doi.org/10.1371/journal.pone.0175066</ext-link></mixed-citation>
      </ref>
      <ref id="B63">
        <mixed-citation xlink:type="simple"><person-group><name name-style="western"><surname>Ratnasingham</surname><given-names>S</given-names></name></person-group> (<year>2019</year>) mBRAVE: The Multiplex Barcode Research and Visualization Environment. Biodiversity Information Science and Standards 3: e37986. <ext-link xlink:type="simple" ext-link-type="doi" xlink:href="10.3897/biss.3.37986">https://doi.org/10.3897/biss.3.37986</ext-link></mixed-citation>
      </ref>
      <ref id="B64">
        <mixed-citation xlink:type="simple"><person-group><name name-style="western"><surname>Ratnasingham</surname><given-names>S</given-names></name><name name-style="western"><surname>Hebert</surname><given-names>PDN</given-names></name></person-group> (<year>2007</year>) <article-title>BOLD: The Barcode of Life Data System.</article-title><source>Molecular Ecology Notes</source><volume>7</volume>: <fpage>355</fpage>–<lpage>364</lpage>. <ext-link xlink:type="simple" ext-link-type="doi" xlink:href="10.1111/j.1471-8286.2007.01678.x">https://doi.org/10.1111/j.1471-8286.2007.01678.x</ext-link></mixed-citation>
      </ref>
      <ref id="B65">
        <mixed-citation xlink:type="simple"><person-group><name name-style="western"><surname>Rognes</surname><given-names>T</given-names></name><name name-style="western"><surname>Flouri</surname><given-names>T</given-names></name><name name-style="western"><surname>Nichols</surname><given-names>B</given-names></name><name name-style="western"><surname>Quince</surname><given-names>C</given-names></name><name name-style="western"><surname>Mahe</surname><given-names>F</given-names></name></person-group> (<year>2016</year>) Vsearch: a versatile open source tool for metagenomics. PeerJ 4: e2584. <ext-link xlink:type="simple" ext-link-type="doi" xlink:href="10.7717/peerj.2584">https://doi.org/10.7717/peerj.2584</ext-link></mixed-citation>
      </ref>
      <ref id="B66">
        <mixed-citation xlink:type="simple"><person-group><name name-style="western"><surname>Schloss</surname><given-names>PD</given-names></name><name name-style="western"><surname>Westcott</surname><given-names>SL</given-names></name><name name-style="western"><surname>Ryabin</surname><given-names>T</given-names></name><name name-style="western"><surname>Hall</surname><given-names>JR</given-names></name><name name-style="western"><surname>Hartmann</surname><given-names>M</given-names></name><name name-style="western"><surname>Hollister</surname><given-names>EB</given-names></name><name name-style="western"><surname>Lesniewski</surname><given-names>RA</given-names></name><name name-style="western"><surname>Oakley</surname><given-names>BB</given-names></name><name name-style="western"><surname>Parks</surname><given-names>DH</given-names></name><name name-style="western"><surname>Robinson</surname><given-names>CJ</given-names></name><name name-style="western"><surname>Sahl</surname><given-names>JW</given-names></name><name name-style="western"><surname>Stres</surname><given-names>B</given-names></name><name name-style="western"><surname>Thallinger</surname><given-names>GG</given-names></name><name name-style="western"><surname>van Horn</surname><given-names>DJ</given-names></name><name name-style="western"><surname>Weber</surname><given-names>CF</given-names></name></person-group> (<year>2009</year>) <article-title>Introducing mothur: Open-source, platform-independent, community-supported software for describing and comparing microbial communities.</article-title><source>Applied and Environmental Microbiology</source><volume>75</volume>(<issue>23</issue>): <fpage>7537</fpage>–<lpage>7541</lpage>. <ext-link xlink:type="simple" ext-link-type="doi" xlink:href="10.1128/AEM.01541-09">https://doi.org/10.1128/AEM.01541-09</ext-link></mixed-citation>
      </ref>
      <ref id="B67">
        <mixed-citation xlink:type="simple"><person-group><name name-style="western"><surname>Schmieder</surname><given-names>R</given-names></name><name name-style="western"><surname>Edwards</surname><given-names>R</given-names></name></person-group> (<year>2011</year>) <article-title>Quality control and preprocessing of metagenomic datasets.</article-title><source>Bioinformatics</source><volume>27</volume>(<issue>6</issue>): <fpage>863</fpage>–<lpage>864</lpage>. <ext-link xlink:type="simple" ext-link-type="doi" xlink:href="10.1093/bioinformatics/btr026">https://doi.org/10.1093/bioinformatics/btr026</ext-link></mixed-citation>
      </ref>
      <ref id="B68">
        <mixed-citation xlink:type="simple"><person-group><name name-style="western"><surname>Schubert</surname><given-names>M</given-names></name><name name-style="western"><surname>Lindgreen</surname><given-names>S</given-names></name><name name-style="western"><surname>Orlando</surname><given-names>L</given-names></name></person-group> (<year>2016</year>) <article-title>AdapterRemoval v2: rapid adapter trimming, identification, and read merging Findings Background.</article-title><source>BMC Research Notes</source><volume>9</volume>(<issue>1</issue>): <fpage>1</fpage>–<lpage>7</lpage>. <ext-link xlink:type="simple" ext-link-type="doi" xlink:href="10.1186/s13104-016-1900-2">https://doi.org/10.1186/s13104-016-1900-2</ext-link></mixed-citation>
      </ref>
      <ref id="B69">
        <mixed-citation xlink:type="simple"><person-group><name name-style="western"><surname>Shokralla</surname><given-names>S</given-names></name><name name-style="western"><surname>Porter</surname><given-names>TM</given-names></name><name name-style="western"><surname>Gibson</surname><given-names>JF</given-names></name><name name-style="western"><surname>Dobosz</surname><given-names>R</given-names></name><name name-style="western"><surname>Janzen</surname><given-names>DH</given-names></name><name name-style="western"><surname>Hallwachs</surname><given-names>W</given-names></name><name name-style="western"><surname>Golding</surname><given-names>GB</given-names></name><name name-style="western"><surname>Hajibabaei</surname><given-names>M</given-names></name></person-group> (<year>2015</year>) Massively parallel multiplex DNA sequencing for specimen identification using an Illumina MiSeq platform. Scientific Reports 5: 9687. <ext-link xlink:type="simple" ext-link-type="doi" xlink:href="10.1038/srep09687">https://doi.org/10.1038/srep09687</ext-link></mixed-citation>
      </ref>
      <ref id="B70">
        <mixed-citation xlink:type="simple"><person-group><name name-style="western"><surname>Steinke</surname><given-names>D</given-names></name><name name-style="western"><surname>deWaard</surname><given-names>SL</given-names></name><name name-style="western"><surname>Sones</surname><given-names>JE</given-names></name><name name-style="western"><surname>Ivanova</surname><given-names>NV</given-names></name><name name-style="western"><surname>Prosser</surname><given-names>SWJ</given-names></name><name name-style="western"><surname>Perez</surname><given-names>K</given-names></name><name name-style="western"><surname>Braukmann</surname><given-names>TWA</given-names></name><name name-style="western"><surname>Milton</surname><given-names>M</given-names></name><name name-style="western"><surname>Zakharov</surname><given-names>EV</given-names></name><name name-style="western"><surname>deWaard</surname><given-names>JR</given-names></name><name name-style="western"><surname>Ratnasingham</surname><given-names>S</given-names></name><name name-style="western"><surname>Hebert</surname><given-names>PDN</given-names></name></person-group> (<year>2021</year>) Message in a bottle–Metabarcoding Enables Biodiversity Comparisons Across Ecoregions. bioRxiv. <ext-link xlink:type="simple" ext-link-type="doi" xlink:href="10.1101/2021.07.05.451165">https://doi.org/10.1101/2021.07.05.451165</ext-link></mixed-citation>
      </ref>
      <ref id="B71">
        <mixed-citation xlink:type="simple"><person-group><name name-style="western"><surname>Stoeck</surname><given-names>T</given-names></name><name name-style="western"><surname>Bass</surname><given-names>D</given-names></name><name name-style="western"><surname>Nebel</surname><given-names>M</given-names></name><name name-style="western"><surname>Christen</surname><given-names>R</given-names></name><name name-style="western"><surname>Jones</surname><given-names>MDM</given-names></name><name name-style="western"><surname>Breiner</surname><given-names>HW</given-names></name><name name-style="western"><surname>Richards</surname><given-names>TA</given-names></name></person-group> (<year>2010</year>) <article-title>Multiple marker parallel tag environmental DNA sequencing reveals a highly complex eukaryotic community in marine anoxic water.</article-title><source>Molecular Ecology</source><volume>19</volume>: <fpage>21</fpage>–<lpage>31</lpage>. <ext-link xlink:type="simple" ext-link-type="doi" xlink:href="10.1111/j.1365-294X.2009.04480.x">https://doi.org/10.1111/j.1365-294X.2009.04480.x</ext-link></mixed-citation>
      </ref>
      <ref id="B72">
        <mixed-citation xlink:type="simple"><person-group><name name-style="western"><surname>Taberlet</surname><given-names>P</given-names></name><name name-style="western"><surname>Coissac</surname><given-names>E</given-names></name><name name-style="western"><surname>Hajibabaei</surname><given-names>M</given-names></name><name name-style="western"><surname>Rieseberg</surname><given-names>LH</given-names></name></person-group> (<year>2012</year>) <article-title>Environmental DNA.</article-title><source>Molecular Ecology</source><volume>21</volume>: <fpage>1789</fpage>–<lpage>1793</lpage>. <ext-link xlink:type="simple" ext-link-type="doi" xlink:href="10.1111/j.1365-294X.2012.05542.x">https://doi.org/10.1111/j.1365-294X.2012.05542.x</ext-link></mixed-citation>
      </ref>
      <ref id="B73">
        <mixed-citation xlink:type="simple"><person-group><name name-style="western"><surname>Tang</surname><given-names>CQ</given-names></name><name name-style="western"><surname>Leasi</surname><given-names>F</given-names></name><name name-style="western"><surname>Obertegger</surname><given-names>U</given-names></name><name name-style="western"><surname>Kieneke</surname><given-names>A</given-names></name><name name-style="western"><surname>Barraclough</surname><given-names>TG</given-names></name><name name-style="western"><surname>Fontaneto</surname><given-names>D</given-names></name></person-group> (<year>2012</year>) <article-title>The widely used small subunit 18S rDNA molecule greatly underestimates true diversity in biodiversity surveys of the meiofauna.</article-title><source>Proceedings of the National Academy of Sciences</source><volume>109</volume>(<issue>40</issue>): <fpage>16208</fpage>–<lpage>16212</lpage>. <ext-link xlink:type="simple" ext-link-type="doi" xlink:href="10.1073/pnas.1209160109">https://doi.org/10.1073/pnas.1209160109</ext-link></mixed-citation>
      </ref>
      <ref id="B74">
        <mixed-citation xlink:type="simple"><person-group><name name-style="western"><surname>van der Loos</surname><given-names>LM</given-names></name><name name-style="western"><surname>Nijland</surname><given-names>R</given-names></name></person-group> (<year>2020</year>) <article-title>Biases in bulk: DNA metabarcoding of marine communities and the methodology involved.</article-title><source>Molecular Ecology</source><volume>30</volume>: <fpage>3270</fpage>–<lpage>3288</lpage>. <ext-link xlink:type="simple" ext-link-type="doi" xlink:href="10.1111/mec.15592">https://doi.org/10.1111/mec.15592</ext-link></mixed-citation>
      </ref>
      <ref id="B75">
        <mixed-citation xlink:type="simple"><person-group><name name-style="western"><surname>Veiga</surname><given-names>P</given-names></name><name name-style="western"><surname>Torres</surname><given-names>AC</given-names></name><name name-style="western"><surname>Aneiros</surname><given-names>F</given-names></name><name name-style="western"><surname>Sousa-Pinto</surname><given-names>I</given-names></name><name name-style="western"><surname>Troncoso</surname><given-names>JS</given-names></name><name name-style="western"><surname>Rubal</surname><given-names>M</given-names></name></person-group> (<year>2016</year>) <article-title>Consistent patterns of variation in macrobenthic assemblages and environmental variables over multiple spatial scales using taxonomic and functional approaches.</article-title><source>Marine Environmental Research</source><volume>120</volume>: <fpage>191</fpage>–<lpage>201</lpage>. <ext-link xlink:type="simple" ext-link-type="doi" xlink:href="10.1016/j.marenvres.2016.08.011">https://doi.org/10.1016/j.marenvres.2016.08.011</ext-link></mixed-citation>
      </ref>
      <ref id="B76">
        <mixed-citation xlink:type="simple"><person-group><name name-style="western"><surname>Vieira</surname><given-names>PE</given-names></name><name name-style="western"><surname>Lavrador</surname><given-names>AS</given-names></name><name name-style="western"><surname>Parente</surname><given-names>MI</given-names></name><name name-style="western"><surname>Parretti</surname><given-names>P</given-names></name><name name-style="western"><surname>Costa</surname><given-names>AC</given-names></name><name name-style="western"><surname>Costa</surname><given-names>FO</given-names></name><name name-style="western"><surname>Duarte</surname><given-names>S</given-names></name></person-group> (<year>2021</year>) <article-title>Gaps in DNA sequence libraries for Macaronesian marine macroinvertebrates imply decades till completion and robust monitoring.</article-title><source>Diversity and Distributions</source><volume>27</volume>: <fpage>2003</fpage>–<lpage>2015</lpage>. <ext-link xlink:type="simple" ext-link-type="doi" xlink:href="10.1111/ddi.13305">https://doi.org/10.1111/ddi.13305</ext-link></mixed-citation>
      </ref>
      <ref id="B77">
        <mixed-citation xlink:type="simple"><person-group><name name-style="western"><surname>von Ammon</surname><given-names>U</given-names></name><name name-style="western"><surname>Wood</surname><given-names>SA</given-names></name><name name-style="western"><surname>Laroche</surname><given-names>O</given-names></name><name name-style="western"><surname>Zaiko</surname><given-names>A</given-names></name><name name-style="western"><surname>Tait</surname><given-names>L</given-names></name><name name-style="western"><surname>Lavery</surname><given-names>S</given-names></name><name name-style="western"><surname>Inglis</surname><given-names>GJ</given-names></name><name name-style="western"><surname>Pochon</surname><given-names>X</given-names></name></person-group> (<year>2018</year>) <article-title>Combining morpho-taxonomy and metabarcoding detection of non-indigenous marine pests in biofouling communities.</article-title><source>Scientific Reports</source><volume>8</volume>(<issue>1</issue>): <fpage>1</fpage>–<lpage>11</lpage>. <ext-link xlink:type="simple" ext-link-type="doi" xlink:href="10.1038/s41598-018-34541-1">https://doi.org/10.1038/s41598-018-34541-1</ext-link></mixed-citation>
      </ref>
      <ref id="B78">
        <mixed-citation xlink:type="simple"><person-group><name name-style="western"><surname>Wangensteen</surname><given-names>OS</given-names></name><name name-style="western"><surname>Palacín</surname><given-names>C</given-names></name><name name-style="western"><surname>Guardiola</surname><given-names>M</given-names></name><name name-style="western"><surname>Turon</surname><given-names>X</given-names></name></person-group> (<year>2018</year>) DNA metabarcoding of littoral hard-bottom communities: high diversity and database gaps revealed by two molecular markers. PeerJ 6: e4705. <ext-link xlink:type="simple" ext-link-type="doi" xlink:href="10.7717/peerj.4705">https://doi.org/10.7717/peerj.4705</ext-link></mixed-citation>
      </ref>
      <ref id="B79">
        <mixed-citation xlink:type="simple"><person-group><name name-style="western"><surname>Weigand</surname><given-names>H</given-names></name><name name-style="western"><surname>Beermann</surname><given-names>AJ</given-names></name><name name-style="western"><surname>Ciampor</surname><given-names>F</given-names></name><name name-style="western"><surname>Costa</surname><given-names>FO</given-names></name><name name-style="western"><surname>Csabai</surname><given-names>Z</given-names></name><name name-style="western"><surname>Duarte</surname><given-names>S</given-names></name><name name-style="western"><surname>Geiger</surname><given-names>MF</given-names></name><name name-style="western"><surname>Grabowski</surname><given-names>M</given-names></name><name name-style="western"><surname>Rimet</surname><given-names>F</given-names></name><name name-style="western"><surname>Rulik</surname><given-names>B</given-names></name><name name-style="western"><surname>Strand</surname><given-names>M</given-names></name><name name-style="western"><surname>Szucsich</surname><given-names>N</given-names></name><name name-style="western"><surname>Weigand</surname><given-names>AM</given-names></name><name name-style="western"><surname>Willassen</surname><given-names>E</given-names></name><name name-style="western"><surname>Wyler</surname><given-names>SA</given-names></name><name name-style="western"><surname>Bouchez</surname><given-names>A</given-names></name><name name-style="western"><surname>Borja</surname><given-names>A</given-names></name><name name-style="western"><surname>Ciamporová-Zaťovicová</surname><given-names>Z</given-names></name><name name-style="western"><surname>Ferreira</surname><given-names>S</given-names></name><name name-style="western"><surname>Dijkstra</surname><given-names>KB</given-names></name><name name-style="western"><surname>Eisendle</surname><given-names>U</given-names></name><name name-style="western"><surname>Freyhof</surname><given-names>J</given-names></name><name name-style="western"><surname>Gadawski</surname><given-names>P</given-names></name><name name-style="western"><surname>Graf</surname><given-names>W</given-names></name><name name-style="western"><surname>Haegerbaeumer</surname><given-names>A</given-names></name><name name-style="western"><surname>van der Hoorn</surname><given-names>BB</given-names></name><name name-style="western"><surname>Japoshvili</surname><given-names>B</given-names></name><name name-style="western"><surname>Keresztes</surname><given-names>L</given-names></name><name name-style="western"><surname>Keskin</surname><given-names>E</given-names></name><name name-style="western"><surname>Lesse</surname><given-names>F</given-names></name><name name-style="western"><surname>Macher</surname><given-names>JN</given-names></name><name name-style="western"><surname>Mamos</surname><given-names>T</given-names></name><name name-style="western"><surname>Paz</surname><given-names>G</given-names></name><name name-style="western"><surname>Pesic</surname><given-names>V</given-names></name><name name-style="western"><surname>Pfannkuchen</surname><given-names>DM</given-names></name><name name-style="western"><surname>Pfannkuchen</surname><given-names>MA</given-names></name><name name-style="western"><surname>Price</surname><given-names>BW</given-names></name><name name-style="western"><surname>Rinkevich</surname><given-names>B</given-names></name><name name-style="western"><surname>Teixeira</surname><given-names>MAL</given-names></name><name name-style="western"><surname>Várbíró</surname><given-names>G</given-names></name><name name-style="western"><surname>Ekrem</surname><given-names>T</given-names></name></person-group> (<year>2019</year>) <article-title>DNA barcode reference libraries for the monitoring of aquatic biota in Europe: Gap-analysis and recommendations for future work.</article-title><source>Science of the Total Environment</source><volume>678</volume>: <fpage>499</fpage>–<lpage>524</lpage>. <ext-link xlink:type="simple" ext-link-type="doi" xlink:href="10.1016/j.scitotenv.2019.04.247">https://doi.org/10.1016/j.scitotenv.2019.04.247</ext-link></mixed-citation>
      </ref>
      <ref id="B80">
        <mixed-citation xlink:type="simple">WoRMS Editorial Board (<year>2021</year>) World Register of Marine Species. Available from <ext-link ext-link-type="uri" xlink:href="http://www.marinespecies.org" xlink:type="simple">http://www.marinespecies.org</ext-link> at VLIZ. <ext-link xlink:type="simple" ext-link-type="doi" xlink:href="10.14284/170">http://doi.org/10.14284/170</ext-link></mixed-citation>
      </ref>
      <ref id="B81">
        <mixed-citation xlink:type="simple"><person-group><name name-style="western"><surname>Zhang</surname><given-names>GK</given-names></name><name name-style="western"><surname>Chain</surname><given-names>FJ</given-names></name><name name-style="western"><surname>Abbott</surname><given-names>CL</given-names></name><name name-style="western"><surname>Cristescu</surname><given-names>ME</given-names></name></person-group> (<year>2018</year>) <article-title>Metabarcoding using multiplexed markers increases species detection in complex zooplankton communities.</article-title><source>Evolutionary Applications</source><volume>11</volume>(<issue>10</issue>): <fpage>1901</fpage>–<lpage>1914</lpage>. <ext-link xlink:type="simple" ext-link-type="doi" xlink:href="10.1111/eva.12694">https://doi.org/10.1111/eva.12694</ext-link></mixed-citation>
      </ref>
    </ref-list>
    <sec sec-type="supplementary-material">
      <title>Supplementary materials</title>
      <supplementary-material id="S1" position="float" orientation="portrait" xlink:type="simple">
        <object-id content-type="doi">10.3897/mbmg.5.70063.suppl1</object-id>
        <object-id content-type="zenodo_dep_id">5823718</object-id>
        <object-id content-type="arpha">CF4AA493-9358-5DC3-88F2-4C3FA7AB502B</object-id>
        <label>﻿Supplementary material 1</label>
        <caption>
          <p>﻿Table S1, Figures S1–S5</p>
        </caption>
        <statement content-type="dataType">
          <label>Data type</label>
          <p>zip. archiv (docx. file with descriptions and image files)</p>
          <p>Explanation note: <bold>Table S1.</bold> Primer pairs used to test the efficiency of <abbrev xlink:title="mitochondrial cytochrome oxidase I gene" id="ABBRID0E5QBI">COI</abbrev>-5P to amplify and assess marine macroinvertebrate species in the preliminary study performed. <bold>Figure S1.</bold> Sampling set-up: substrates suspended horizontally and deployed in December 2016 at Toralla Island (NW Iberian Peninsula). <bold>Figure S2.</bold> Number of marine macroinvertebrate species detected in each substrate and sampling time by each of the four primer pairs used in the first screening of primer performance. <bold>Figure S3.</bold> Shared and unique marine macroinvertebrate species detected by the four <abbrev xlink:title="mitochondrial cytochrome oxidase I gene" id="ABBRID0EXRBI">COI</abbrev>-5P primer pairs. <bold>Figure S4.</bold> Taxonomic composition of marine macroinvertebrate communities for each primer pair in each substrate type and sampling time. <bold>Figure S5.</bold> Optimal number of clusters determined by silhouette and elbow analysis retrieved from k-means.</p>
        </statement>
        <media xlink:href="mbmg-05-e70063-s001.zip" mimetype="application" mime-subtype="x-zip-compressed" position="float" orientation="portrait" xlink:type="simple" id="oo_628588.zip">
          <uri content-type="original_file">https://binary.pensoft.net/file/628588</uri>
        </media>
        <permissions>
          <license xlink:type="simple">
            <license-p>This dataset is made available under the Open Database License (http://opendatacommons.org/licenses/odbl/1.0/). The Open Database License (ODbL) is a license agreement intended to allow users to freely share, modify, and use this Dataset while maintaining this same freedom for others, provided that the original source and author(s) are credited.</license-p>
          </license>
        </permissions>
        <attrib specific-use="authors">Author: Barbara R. Leite, Pedro E. Vieira, Jesús S. Troncoso, Filipe O. Costa</attrib>
      </supplementary-material>
      <supplementary-material id="S2" position="float" orientation="portrait" xlink:type="simple">
        <object-id content-type="doi">10.3897/mbmg.5.70063.suppl2</object-id>
        <object-id content-type="zenodo_dep_id">5823720</object-id>
        <object-id content-type="arpha">237E0085-7C8D-54B8-B048-A851B156B745</object-id>
        <label>﻿Supplementary material 2</label>
        <caption>
          <p>﻿Tables S2, S3</p>
        </caption>
        <statement content-type="dataType">
          <label>Data type</label>
          <p>Taxonomic classification, Species occurence</p>
          <p>Explanation note: <bold>Table S2.</bold> Number of sequences (raw, usable and submitted to species level taxonomic assignment) for each primer-pair (mlCOIintF/LoboR1; LCO1490/Ill_C_R; TAReuk454FWD1/TAReukREV3), in the three substrates (slate, <abbrev xlink:title="polyvinyl chloride" id="ABBRID0ERTBI">PVC</abbrev> and granite) and sampling times (3, 7, 10 and 15 months). <bold>Table S3.</bold> Summary of range of similarity, samples detected and notes on species assignments accuracy for the species detected using the three primer pairs (mlCOIintF/LoboR1, LCO1490/Ill_C_R, TAReuk454FWD1/TAReukREV3).</p>
        </statement>
        <media xlink:href="mbmg-05-e70063-s002.xlsx" mimetype="application" mime-subtype="vnd.openxmlformats-officedocument.spreadsheetml.sheet" position="float" orientation="portrait" xlink:type="simple" id="oo_628589.xlsx">
          <uri content-type="original_file">https://binary.pensoft.net/file/628589</uri>
        </media>
        <permissions>
          <license xlink:type="simple">
            <license-p>This dataset is made available under the Open Database License (http://opendatacommons.org/licenses/odbl/1.0/). The Open Database License (ODbL) is a license agreement intended to allow users to freely share, modify, and use this Dataset while maintaining this same freedom for others, provided that the original source and author(s) are credited.</license-p>
          </license>
        </permissions>
        <attrib specific-use="authors">Author: Barbara R. Leite, Pedro E. Vieira, Jesús S. Troncoso, Filipe O. Costa</attrib>
      </supplementary-material>
    </sec>
  </back>
</article>
