Review Article |
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Corresponding author: Tiina Laamanen ( tiina.laamanen@syke.fi ) Academic editor: John Darling
© 2025 Tiina Laamanen, Veera Norros, Petteri Vihervaara, Jacqueline Jerney, Pirkko Kortelainen, Katharina Kujala, Stefan Lambert, Janne Mäyrä, Lilja Nikula, Ida Palmroos, Mikko Tolkkinen, Kristiina Vuorio, Kristian Meissner.
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.
Citation:
Laamanen T, Norros V, Vihervaara P, Jerney J, Kortelainen P, Kujala K, Lambert S, Mäyrä J, Nikula L, Palmroos I, Tolkkinen M, Vuorio K, Meissner K (2025) Technology Readiness Level of biodiversity monitoring with molecular methods – where are we on the road to routine implementation? Metabarcoding and Metagenomics 9: e130834. https://doi.org/10.3897/mbmg.9.130834
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Human activities are causing rapid biodiversity loss across ecosystems, affecting human well-being and crucial ecosystem services. Traditional biodiversity monitoring tools cannot keep up with the increasing demands of monitoring due to their limited spatial or temporal coverage, high costs, and lack of taxonomic expertise. Thus, implementation of novel molecular monitoring methods such as environmental DNA (eDNA) and DNA metabarcoding, are necessary.
Molecular monitoring methods offer significant benefits for biodiversity monitoring and environmental assessment: high sensitivity and accuracy, non-invasive sampling, broad taxonomic range and cost and time efficiency. However, the diverse methodological approaches lead to poor comparability between studies and surveys, highlighting the need for standardised assessments.
We used the Technology Readiness Level (TRL) framework to evaluate the maturity of molecular monitoring methods, providing a structured assessment of their readiness for routine use. In a systematic literature review, 420 articles fulfilling the study criteria were assessed and both individual studies and method categories ranked according to the TRL scale. The findings revealed a growing number of studies, particularly in aquatic environments, with most studies validating molecular technologies on a small scale but lacking large-scale system demonstrations. Aquatic eDNA-based methods targeting fish showed overall higher technology readiness compared to other sample types and taxa and applications of molecular monitoring methods ranked into the highest TRL were predominantly freshwater studies.
Key barriers to the broader implementation of molecular methods to monitoring include the need for international standards, better quantitative estimates and comprehensive reference libraries. National and international cooperation is crucial for establishing common standards, ensuring reliable and comparable results and expediting the routine use of molecular methods in biodiversity monitoring. Recent efforts towards international standardisation are encouraging, but further coordinated actions are necessary for the global implementation and acceptance of these methods.
DNA metabarcoding, eDNA, molecular monitoring methods, standardisation, Technology Readiness Level
Major and fast biodiversity losses occur across various ecosystems due to direct and indirect human impacts on nature. Many of these changes have negative and unpredictable reciprocal effects on both human well-being and crucial ecosystem services (
The importance of biodiversity monitoring and need for high-quality, accurate and timely data is becoming increasingly apparent across different sectors in society. A notable development is that, alongside traditional stakeholders such as authorities, natural resource managers and researchers, private sector actors from natural resource-dependent businesses are also increasingly calling for reliable biodiversity data to assess both their detrimental impacts on nature and to identify emerging positive effects of the use of sustainable practices (
The use of molecular methods for various environmental and biodiversity monitoring cases has grown exponentially during recent years. Concurrently, prices of lab analysis costs have declined from thousands of euros to a few cents per sample (
It is important to understand and assess advantages and disadvantages of different methods chosen for each process step in a systematic way to estimate their maturity (i.e. technology readiness) and to provide recommendations for their applicability to existing traditional monitoring schemes. The Technology Readiness Level (TRL) is a commonly used approach to estimate maturity of any technology for routine use (
In this review, we aim to provide a comprehensive, literature-based situational overview of the use of molecular methods in biodiversity monitoring using a systematic approach. Specifically, our objectives are to: i) map eDNA and other molecular monitoring methods applications in recent biodiversity monitoring, ii) identify forerunners and potential best practices that are ready for transnational uptake and iii) outline pathways for standardisation of mature novel methods, which improve their comparability across various biodiversity monitoring activities.
We conducted an evaluation of the TRL (
We conducted a search for publications published between 15 April 2017 – 6 November 2023, in the Web of Science database using the search string: “(TS = ((eDNA OR (environmental AND DNA)) AND monitoring AND biodiversity)) AND LANGUAGE:(English) AND DOCUMENT TYPES: (Article)” which resulted in 641 articles.
To facilitate team review of the research literature corpus, we used the systematic review protocol implemented in the CADIMA tool (https://www.cadima.info), which addresses the main issues commonly associated with literature reviews (
For each paper meeting the study selection criteria, we extracted a predetermined set of data fields based on the full texts that were used to evaluate the TRL that the paper represents. The extracted data included key parameters such as but not limited to: i) the methodology used, ii) the taxonomic, iii) spatial and iv) temporal scope of the study, v) whether the molecular methodology was compared to another methodology (e.g. morphology-based identification), vi) whether the molecular methodology was recommended by the authors for routine monitoring and vii) under what conditions (e.g. methodological challenges that still need addressing). An example of the extracted data sheet can be found in Suppl. material
Based on the extracted data, we assessed the TRL of the method used in each paper with respect to its implementation in routine monitoring. We used original TRL classes as described in
Original TRL classes as described in
TRL class 5 was the cut-off for study selection. For the review, TRLs included were interpreted using the following progressively applied criteria:
Criterion : This was the minimum level reached by all studies that met our study selection criteria. Interpretation: The methods used in these studies are relevant for monitoring and appear technically feasible for routine use under relevant outdoor conditions.
Criterion : The molecular monitoring method is compared to another established (“traditional”) method and is considered to produce either equal results or to have advantages (e.g. cost-efficiency, improved detection probability of species or more comprehensive monitoring of the species community). Interpretation: The method has been shown to produce meaningful results in the relevant environment.
Criteria : The molecular method is applied at a medium or large spatial scale (> 10 km maximum distance between sampling sites), is based on at least 20 samples and its implementation in monitoring is at least conditionally recommended. Interpretation: The jump in the TRL scale from a “technology” to a “system” has been interpreted in terms of scale, i.e. a technology can be demonstrated by sampling at individual locations, but to meet the criteria of a system, the method should be scalable. To qualify for this level requires that the study demonstrates scalability.
Criterion : The molecular method is directly compared to the prevailing traditional method (i.e. with comparable samples) and its implementation is recommended without limitation. Interpretation: To qualify, the results of the monitoring system should be compared directly to an existing method. Consideration was given that for some taxa readily identified by molecular methods, a comparison to traditional methods is not feasible. Thus, a recommendation of implementation without major limitations, for example, on environmental conditions, was interpreted to reflect the required technology readiness.
Criterion : The paper states that the molecular method is already implemented in an existing legislative monitoring program. Interpretation: The molecular method is used in actual operational monitoring, proving the feasibility of the method at scale also including solutions for representative sampling design, data recording and organisation of sampling.
Using the above criteria, each of the reviewed papers was assigned a TRL value. We then visualised the distribution of TRL values in relation to different ecosystems (freshwater, marine and terrestrial), application categories (e.g. biodiversity, threatened species or harmful species monitoring) and organism groups, as well as the change in TRL over time. For illustrative and statistical purposes, we manually classified the specific descriptions of the application and target group recorded for each paper into broader categories for both the “application” and “organism group” categories. To assess the statistical significance of the factors explaining paper-specific TRL, we fitted the linear model “TRL ~ publication year + ecosystem + application category + organism group” to the paper-specific data (n = 420) assuming normally distributed errors using the LinearModelFit function of the Wolfram Mathematica software (Wolfram Research, Inc.). Publication year was modelled as a continuous variable, while ecosystem, application and organism group were categorical variables with 3, 6 and 6 different levels, respectively. In addition, we fitted three alternative models each including an additional interaction term (“year*ecosystem”, “year*application category” or “year*organism group”). However, as the interaction term was never significant according to an analysis of variance and the performance of the models with interaction terms was lower than that of the additive model as measured by the AIC and BIC criteria, we report only the results of the additive model.
In addition to assessing the TRL of each individual paper, we also classified papers representing different methodologies and determined the TRL reached by each methodology as the maximum paper specific TRL value within the class. Here, a methodology was defined as a unique combination of: (i) the broad molecular methodology (DNA metabarcoding or a PCR-based approach such as qPCR or ddPCR), (ii) sample type (e.g. water, soil, sediment) and (iii) organism group. Molecular methods other than DNA metabarcoding and PCR-based methods (e.g. DNA metagenomics or RNA-based methods) were represented only by a small number of papers and were not included in the methodology-based TRL assessment.
A total of 641 research papers published between 15.4.2017 and 6.11.2023 were screened against predetermined study selection criteria in the CADIMA tool, resulting in 420 research papers fulfilling the criteria. The number of papers published increased annually during the study period. In 2018, the first full year of our search period, 42 papers which met our search criteria, were published. The number of published papers per year has almost doubled within our search window with 80 published papers fulfilling the criteria in 2022, the last full year of our search period (Fig.
Number of original research papers published per year during the search period 15.4.2017–6.11.2023 in different study environments (black = all, light blue = freshwater, turquoise = marine, green = terrestrial).
Most of the study sites were located in the United States (54 studies), followed by China (43), Australia (31) Japan (30), France (21), Canada (20), Germany (17), Denmark (17), New Zealand (15) and The United Kingdom (14) (Fig.
The internationally published scientific research on molecular monitoring methods within the last seven years is heavily dominated by application cases to aquatic environments (Fig.
Distribution of the 420 original research papers published between 2017 and 2023 according to Technology Readiness Levels (TRL) of molecular monitoring methods classified by A ecosystem B organism group and C primary monitoring application represented by the study.
Overall, fish and invertebrates were the two most actively studied groups. The dominant pattern in the data is that TRL classes 5–9 seem to follow a normal distribution, with most of the studies falling into categories 6 and 7, indicating that, while the methods are now broadly validated in small-scale field studies, systematic large-scale demonstrations are still scarce. This pattern was very robust across different ecosystems, application categories and organism groups and, interestingly, also did not markedly evolve over the seven years included in our study (Fig.
Results of the statistical analysis examining the role of different factors in explaining the Technology Readiness Level represented by individual studies (n = 420). Note that the levels of the categorical variables (ecosystem, application category and organism group) are the same as those illustrated in Fig.
| Model | TRL ~ year (continuous) + system (categorical; 3 levels) + application (categorical; 6 levels) + group (categorical; 6 levels) | ||||
|---|---|---|---|---|---|
| R2 | 0.05947 | ||||
| ANOVA table | |||||
| DF | SS | MS | F‐Statistic | P‐Value | |
| year | 1 | 0.555 | 0.555 | 0.93 | 0.337 |
| system | 2 | 2.517 | 1.258 | 2.1 | 0.124 |
| application | 5 | 4.557 | 0.911 | 1.52 | 0.182 |
| group | 5 | 7.765 | 1.553 | 2.59 | 0.025 |
| Error | 406 | 243.463 | 0.6 | ||
| Total | 419 | 258.857 | |||
| Parameter estimates | |||||
| Estimate | Standard Error | t‐Statistic | P‐Value | ||
| 1 | -27.64 | 42.54 | -0.65 | 0.516 | |
| year | 0.02 | 0.02 | 0.8 | 0.425 | |
| system [“freshwater”] | 0.04 | 0.11 | 0.4 | 0.688 | |
| system [“marine”] | 0.07 | 0.11 | 0.62 | 0.533 | |
| application [“biodiversity”] | -0.27 | 0.13 | -2.09 | 0.037 | |
| application [“economic/key species”] | -0.37 | 0.23 | -1.61 | 0.109 | |
| application [“ecosystem structure and functioning”] | -0.66 | 0.41 | -1.61 | 0.108 | |
| application [“environmental status assessment”] | -0.08 | 0.17 | -0.49 | 0.628 | |
| application [“invasive, harmful and pathogen species”] | -0.14 | 0.17 | -0.85 | 0.399 | |
| group [“bacteria and fungi”] | 0.08 | 0.18 | 0.46 | 0.646 | |
| group [“fish”] | 0.44 | 0.13 | 3.33 | 0.001 | |
| group [“invertebrates”] | 0.26 | 0.13 | 1.98 | 0.048 | |
| group [“other vertebrates”] | 0.15 | 0.16 | 0.98 | 0.325 | |
| group [“plants, algae, phytoplankton”] | 0.22 | 0.18 | 1.23 | 0.218 | |
Metabarcoding-based approaches were used in 338 studies and PCR-based methods, such as quantitative PCR (qPCR) or Droplet Digital PCR (ddPCR) 80 studies. Several research papers used both approaches. In Fig.
Technology Readiness Level for different combinations of organism group and sample type for A metabarcoding and B PCR-based methods. Circle size represents the number of studies within each category and circle colour the maximum Technology Readiness Level reached amongst those studies.
The distribution of TRL classes across different environments and years (Fig.
Distribution of TRL classes across years and freshwater (light blue), marine (turquoise) and terrestrial (green) environments.
In the reviewed papers, lack of standardisation was often mentioned as one of the key restricting factors for the larger implementation of molecular monitoring methods (see, for example,
The increased demand created by environmental legislation and international treaties for more accurate and timely information on the state of the ecosystem overburdens current traditional monitoring methodologies and has created the need to look for novel monitoring and analytic solutions. Molecular identification techniques have great potential to improve and extend current biological monitoring in all types of habitats. Unmonitored changes in patterns of biodiversity in response to global megatrends (e.g. climate change, urbanisation, invasive alien species, increasing chemical stress on soils and groundwaters) stand to benefit from the speedy uptake of these methods into routine monitoring (
Further, their application, combined with traditional monitoring and assessments, could improve the accuracy of monitoring results and ensure that appropriate management actions are taken and potentially increase spatial coverage. Molecular monitoring methods can produce objective, easily comparable and reproducible species identification and can be used in large-scale monitoring (
To produce meaningful results and to attain high TRL, molecular monitoring methods need reliable reference databases and reliable, specific genetic tools for a broad range of organisms and commonly agreed upon minimum criteria for methodological and analytical pipelines. Several commonly used methods (e.g. metabarcoding) have evolved from the prototype stage (TRL 3–4) to TRL level 6–8 where the technical operation has been demonstrated in relevant settings (e.g.
Despite their demonstrated success and benefits, applications of molecular identification methods have mainly been limited to proof of concept or validation projects as is reflected by our data which ranked the bulk of studies using molecular monitoring methods below TRL 8. Many authors state that the transition from TRL level 7 to TRL 8 or TRL 9, i.e. method uptake into routine use, is rarely limited by actual technical problems in upscaling of molecular monitoring methods to larger scales. Rather, routine legislative uptake of molecular methods is often stated to be restricted by roadblocks related to “legitimisation” and “legalisation” i.e. acceptance and regulatory readiness levels (sensu
Innovation processes are complex, evolutionary, relational, temporal and cultural. Trust development is dynamic across individual and organisational levels (
To increase acceptance and regulatory readiness levels further, there is an urgent need for both national and international cooperation including cross collaboration with technology and knowledge transfer experts, social scientists and economists to expedite the routine implementation of molecular methods for legislative monitoring. Ensuring the development of molecular monitoring methods is cost-effective and fair is crucial. This includes making the technology accessible to various regions and distributing the benefits of advanced monitoring equitably (
Strengthening regional or national cooperation has several short-term advantages, but also entails historically proven drawbacks. National guidelines often are much easier to develop than international ones since the number of stakeholders that need to be engaged is often more limited. Thus, time spent on efforts to develop and reach consensus on national or regional guidelines and to implement methods may be reduced. It is important to recognise that this initial timesaving aspect only prevails if the endpoint of the analysis is indeed only national or regional. However, for biodiversity monitoring or in bioassessments, for example, of the status of waterbodies, national assessments are just one goal. In Europe and globally, methods and data collected by them often need to answer more than single national scale questions on patterns of biodiversity or the state of the environment. Producing accurate and comparable data to such multifaceted questions requires international cooperation.
Cooperation on international method or method standard development is often slower to begin with as the identification of stakeholders and the definition of an efficient engagement process of the relevant stakeholders takes more time. However, choosing a national approach to attain short-term time savings over an international one has multiple significant consequences when the ultimate goal is a global-level endpoint. The ability to directly compare results from one nation to another and to meaningfully combine them is decreasing with method complexity as independently developed national guidelines will have facets that will differ and create different end results. To be able to make international inferences on general patterns that several different national methods describe often requires intercalibration of results from these national methods. This is a far from trivial task, as the implementation of existing national methods to assess water quality in the EU aptly demonstrated. In the intercalibration of methods for the Water Framework Directive (
For molecular monitoring methods, a future of similarly laborious intercalibration can and should be effectively averted. The solution to both attaining higher TRLs and, thus, routine use involves international cooperation on defining minimum criteria for high TRL level application intended for use in routine biodiversity monitoring and bioassessment.
Currently, there is little coordination between national research organisations and other end-users, both for molecular monitoring methods specifically and for new environmental monitoring methods in general. Some prominent examples of national roadmaps for the implementation of molecular monitoring methods exist (e.g.
While national coordination around molecular monitoring methods is building up rapidly in many countries, the number of national key stakeholders is currently still relatively low. The fact that molecular monitoring methods intended for routine use provide data that are not only necessarily directed towards national endpoints creates a window of opportunity to choose international standardisation of minimum requirements for molecular monitoring method use as a common starting point.
By contrast, focusing development on national guidelines without concurrent international coordination of efforts entails a high risk of duplication of work, creating internationally incompatible solutions in a quickly evolving field and sidelining inputs of stakeholders from less advanced regions like the Global South, which are the regions holding most of the threatened biodiversity we globally seek to protect.
Several central European nations i.e. Germany, France and, in particular, Finland have taken an active role to advance the international standardisation of forerunner molecular monitoring methods for routine biological monitoring. In the past few years, these efforts have spawned European work to standardise sampling of eDNA from water and progressed to the creation of a dedicated working group in 2018, as well as the development of its first CEN standard (EN 17805:2023). The European decision to focus further standardisation efforts on periphytic diatoms and aquatic macroinvertebrate metabarcoding is strongly mirrored by our data.
After the ratification of the Kunming-Montreal protocol, the need for an international platform to advance the implementation of the global biodiversity Framework (GBF) was realised and met by establishing a dedicated Technical Committee (TC) for Biodiversity under ISO (i.e. TC 331) to develop international standards. However, this TC’s scope did not specifically advance the minimum method requirements of molecular monitoring methods needed for routine implementation in biodiversity monitoring. Mirroring both our study results that the highest TRL of molecular monitoring methods are found in aquatic environments and the desire to create international comparability to counteract scepticism about the reliability and reproducibility of environmental genomics metrics led to the establishment of a new working group under ISO TC 147 “Water quality” in 2023. The new working group is specifically dedicated to the international standardisation of minimum requirements of molecular monitoring methods for use in routine bioassessment.
To further facilitate inclusive access to method standard development for Global South stakeholders and to expedite the formulation of seed documents for introduction into ISO standardisation, the International eDNA Standardisation Task Force iESTF (https://iestf.global) was established in 2023. iESTF offers an inclusive platform that cooperates closely with the international research community and various other key stakeholders and transparently works on the creation of seed documents for specific steps of the molecular monitoring methods process.
These recent developments partly reflect the growing level of international interest and commitment of countries to the future routine and comparable implementation of molecular monitoring methods. However, both our data and current developments in the field of standard creation for marine and terrestrial environments lag behind. A clear danger is that similar developments in these environments will turn to national guideline creation at the expense of international standardisation which will delay the creation of internationally comparable biodiversity data for terrestrial and marine environments. Further coordinated work within and between different environments is needed to ensure unified application and interpretation of molecular monitoring methods in future global and national legislative monitoring.
Molecular monitoring methods have advanced to a stage where methods to target new target taxonomic groups are continually emerging. These new developments often begin with lower TRL-level activities. This could partly explain the observed distribution of TRL classes across different environments (Fig.
Molecular monitoring methods have reached critical maturity and their implementation has started worldwide. Molecular monitoring methods have great potential to benefit, improve and extend current biological monitoring in all types of habitats. However, the field is fragmented causing a risk of unnecessary duplication of efforts, method pluralism and resulting incompatibility of the end results.
Based on the 420 papers assessed in this review, recent international research on molecular monitoring methods has predominantly focused on aquatic environments, with equal emphasis on freshwater and marine studies at Technology Readiness Levels (TRL) 6 and 7. High TRLs are mainly seen in freshwater studies, including the highest TRL 9 applications for invasive fish species and benthic invertebrates. TRL classes 5–9 roughly followed a normal distribution, with most of the studies falling into categories 6 and 7, indicating that, while the methods are broadly validated in small-scale field studies, systematic large-scale demonstrations and routine implementation are still scarce.
Restricting factors to the uptake of molecular methods into routine monitoring described in the reviewed papers were lack of standardisation, methodological optimisation and comprehensive reference libraries. National and international cooperation is crucial to establish common standards and ensure consistent, reliable and comparable results. Recent international efforts and the establishment of international working groups indicate progress, but further coordinated action is necessary to achieve unified application and interpretation of molecular monitoring methods for biodiversity and bioassessment globally.
The authors have declared that no competing interests exist.
No ethical statement was reported.
This work was supported by the Finnish Ministry of the Environment (Finnish Ecosystem Observatory project VN/5082/2020; eDNA roadmap project VN/25401/2020; eDNA-monitor project VN/14493/2022), European Union under the Horizon Europe Programme (eDNAqua-Plan, Grant Agreement No. 101112800, OBSGESSION, Grant Agreement No. 101134954), EU Life+ programme (PRIODIVERSITY, LIFE22-IPN-FI-Priodiversity LIFE) and Research Council of Finland (grant number: 322753).
Conceptualization: PV, TL, VN, KM. Data curation: TL, VN, KMV, LN, PK, IP, KM, KK, SL, JM, JJ, PV, MT. Formal analysis: VN. Investigation: TL. Visualization: JM. Writing - original draft: TL, KM, VN, PV. Writing - review and editing: KK, IP, KMV, JM, JJ, SL, PK, LN.
Tiina Laamanen https://orcid.org/0000-0003-2095-9916
Veera Norros https://orcid.org/0000-0002-7481-0693
Petteri Vihervaara https://orcid.org/0000-0002-5889-8402
Jacqueline Jerney https://orcid.org/0000-0002-2736-5179
Pirkko Kortelainen https://orcid.org/0000-0002-1448-0688
Katharina Kujala https://orcid.org/0000-0003-3697-8521
Janne Mäyrä https://orcid.org/0000-0001-7622-9512
Ida Palmroos https://orcid.org/0000-0001-8958-4441
Mikko Tolkkinen https://orcid.org/0000-0003-2234-5088
Kristiina Vuorio https://orcid.org/0000-0001-7974-0092
Kristian Meissner https://orcid.org/0000-0001-6316-8554
All of the data that support the findings of this study are available in the main text or Supplementary Information.
Extracted CADIMA data
Data type: xlsx
Explanation note: Extracted CADIMA data and TRL classes for 420 research papers published between 15.4.2017 and 6.11.2023.
Example of a filled data sheet on CADIMA - tool
Data type: png