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Frontiers in Conservation Science ·

Volume 7 - 2026 | https://doi.org/10.3389/fcosc.2026.1891198

Environmental DNA for endangered freshwater mussel monitoring: a review on global synthesis of eDNA methods, challenges, and innovative strategies

  • Mizanur Rahman1*corresponding author
  • Md Saydur Rahman1,2
  • Richard J. Kline1,2*corresponding author
  1. 1School of Earth, Environmental, and Marine Sciences, University of Texas Rio Grande Valley, Brownsville, TX, United States
  2. 2School of Integrative Biological and Chemical Sciences, University of Texas Rio Grande Valley, Brownsville, TX, United States
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Abstract

Freshwater mussels (family Unionidae) are among the most endangered aquatic species worldwide, making effective monitoring vital for their conservation. Traditional surveys are laborious, time-consuming, and often miss rare or low-density populations. Environmental DNA (eDNA) is a highly sensitive, non-invasive approach for freshwater mussel detection and monitoring; however, uncertainties in ecological interpretation continue to limit its broader application in freshwater biodiversity monitoring. We conducted a systematic review of 49 peer-reviewed studies, identified through an extensive literature search, to assess temporal research trends, methodological advancements, ecological contexts, and regulatory readiness of freshwater mussel eDNA monitoring. Findings show that freshwater mussel eDNA research has surged since 2020, particularly in the United States, which accounts for the largest share of published studies (38.8%). Quantitative polymerase chain reaction (qPCR) was the most frequently applied detection method (46%), followed by metabarcoding (32%), indicating a shift from species-specific detection toward community-level biodiversity assessment. Water was the principal sampling matrix, while freezing and silica-based extraction kits were the most commonly reported preservation and DNA-extraction approaches. The review demonstrates that eDNA greatly enhances the detection of freshwater mussels, particularly rare and endangered species, and supports large-scale biodiversity assessments and conservation planning. However, significant variation exists in sampling strategies, laboratory workflows, molecular markers, bioinformatics pipelines, and quality control practices. Ecological interpretation remains complicated by factors such as hydrological transport, seasonal biological variation, eDNA degradation, PCR inhibition, incomplete reference databases, and unclear relationships between eDNA levels and population size. Overall, this review highlights that eDNA has complemented traditional surveys rather than replacing them. To facilitate regulatory adoption and conservation, ongoing efforts should focus on standardizing protocols, expanding reference databases, improving quantitative analyses, across laboratories, and integrating ecological and hydrological data.

Keywords

1 Introduction

Freshwater mussels (family Unionidae) are among the most diverse and ecologically important groups of benthic macroinvertebrates inhabiting rivers and lakes worldwide. Globally, they are experiencing some of the highest rates of decline among freshwater fauna, with numerous species classified as threatened, endangered, or extinct (Lopes‐Lima et al., 2017). North America is a global hotspot of freshwater mussel diversity, supporting approximately 300 species, more than two-thirds of which are considered imperiled (Haag and Williams, 2014; U.S. Geological Survey, 2015). Similar declines have been reported across Europe and Asia, largely driven by habitat degradation, pollution, altered flow regimes, and invasive species such as the zebra mussel (Dreissena polymorpha), which displaces native unionids (Karatayev and Burlakova, 2025).

Freshwater mussels are not only important components of aquatic biodiversity but also function as ecosystem engineers. An individual mussel can filter liters of water per day, removing suspended particles, bacteria, and phytoplankton, thereby improving water clarity (Vaughn, 2018). Their biodeposits enhance nutrient cycling and support benthic communities, while their shells stabilize sediments and provide habitat for numerous aquatic organisms (Gaston et al., 2013). Consequently, the loss of mussel beds can have cascading effects throughout freshwater ecosystems, reducing water quality, altering food webs, affecting fish communities, and diminishing ecosystem services. Despite their ecological and economic importance, freshwater mussels remain comparatively understudied relative to fish and other charismatic aquatic taxa.

Conventional freshwater mussel surveys primarily rely on qualitative searches, tactile surveys, and quantitative quadrat sampling conducted by trained malacologists and divers (Harvey et al., 2020). Although these approaches provide valuable demographic information, including size-frequency distributions, recruitment, and population structure (Kersting and García-March, 2017), they are labor-intensive, time-consuming, and logistically challenging, particularly in large or turbid rivers. Moreover, survey efficiency may be reduced for deeply burrowed, cryptic, or low-density populations, resulting in false-negative detections that can have important conservation and regulatory consequences (Buckland and Johnston, 2017; Livore et al., 2021). Budgetary and logistical constraints further limit the spatial and temporal coverage of conventional monitoring programs.

In recent years, environmental DNA (eDNA) has transformed aquatic biodiversity monitoring by providing a sensitive and non-invasive approach for species detection. Initially developed for amphibians and invasive fishes (Ficetola et al., 2008; Jerde et al., 2011), eDNA applications to freshwater mussels have progressed more slowly due to low DNA shedding rates, sediment-associated habitats, and PCR inhibition by humic substances (Klymus et al., 2015). However, advances in DNA extraction protocols, Unionidae-specific primers, droplet digital PCR (ddPCR), high-throughput sequencing, and bioinformatic analyses have substantially improved detection sensitivity and analytical reliability (Prié et al., 2021; Wood et al., 2020). Multiple studies have demonstrated that eDNA can improve the detection of freshwater mussels, including rare or endangered species that may be missed by conventional tactile surveys (Sansom and Sassoubre, 2017). Consequently, agencies such as the U.S. Fish and Wildlife Service and organizations implementing the European Water Framework Directive are evaluating eDNA as a complementary tool for biodiversity monitoring and conservation (U.S. Fish and Wildlife Service, 2022; Hering et al., 2018). However, key challenges include contamination risks, DNA transport and persistence, methodological heterogeneity, difficulties linking eDNA concentration to population abundance, incomplete reference databases, and lack of routine monitoring protocols (Hauck et al., 2023; Wu et al., 2024; Chen et al., 2025).

Although previous reviews have addressed eDNA methods or broad freshwater biodiversity issues (Goldberg et al., 2016; Harper et al., 2019; Ruppert et al., 2019), none have comprehensively synthesized global freshwater mussel eDNA research. Previous reviews have focused on general eDNA techniques, broad aquatic biodiversity assessment or freshwater applications but have not comprehensively synthesized the research history, methodological innovation, ecological context and conservation status relating to the use of eDNA for freshwater mussels (Rees et al., 2014; Thomsen and Willerslev, 2015; Deiner et al., 2017; Taberlet et al., 2018). With rapid growth in this field, a timely review that highlighting methodological advances, knowledge gaps, and future research directions is essential for informing scientific research and conservation efforts.

This review systematically examines peer-reviewed literature on freshwater mussel eDNA, focusing on research trends, methodological innovations, ecological interpretation, and regulatory potential of freshwater mussel eDNA monitoring. Specifically, we (i) analyze research characteristics, geographical distribution, study goals, and detection methods; (ii) review sampling strategies, laboratory workflows, molecular markers, and quality controls; (iii) evaluate ecological factors affecting eDNA detection and interpretation; (iv) assess conservation and regulatory evidence; and (v) identify gaps and future research priorities to enhance the role of eDNA in freshwater mussel monitoring, conservation, and regulation.

2 Materials and methods

Our literature search primarily used Google Scholar for broad coverage, supplemented by Web of Science and Scopus to verify references, identify additional relevant studies, and confirm that no major eligible peer-reviewed studies meeting the inclusion criteria were overlooked. The search focused on publications from 2010 to 2025, reflecting eDNA’s rapid development. We conducted three Boolean searches of increasing specificity, rather than successive filtering steps, to comprehensively identify studies relevant to freshwater mussel eDNA. The initial broad search, (“environmental DNA” OR “eDNA”) AND (“freshwater mussel” OR “Unionidae” OR “bivalve”) AND (monitoring OR survey OR conservation OR detection OR metabarcoding OR qPCR OR ddPCR), identified 3,760 records. The search was then refined to (“environmental DNA” OR “eDNA”) AND (“freshwater mussel” OR “Unionidae”) AND (metabarcoding OR qPCR OR ddPCR), yielding 665 records. A final, methodology-focused search, (“environmental DNA” OR “eDNA”) AND (“Unionidae”) AND (metabarcoding OR qPCR OR ddPCR) AND (primer OR filtration OR extraction OR assay), identified 285 records. Reference list screening identified an additional 15 records, bringing the total to 300 records for screening. After applying inclusion/exclusion criteria, which excluded non-peer-reviewed literature (e.g., conference abstracts, reports, and theses) from the systematic review. More detailed inclusion and exclusion criteria are provided in Supplementary Table 1. However, peer-reviewed studies on non-unionid freshwater bivalves were retained only if they generated transferable eDNA methodologies or analytical approaches relevant to freshwater mussel monitoring. Government reports and technical documents were included only to provide regulatory and management context and were not synthesized systematically. After screening titles and abstracts, 234 records were excluded for not meeting the previously set eligibility criteria, and 66 articles were retained for full-text assessment. Of these, 17 studies were excluded for failing to meet the prespecified inclusion criteria, resulting in a final qualitative synthesis of 49 studies (Figure 1). To provide an overview of the temporal distribution of the selected studies, publication years were recorded and summarized (Figure 2). The characteristics of all 49 included studies were summarized in Table 1, including the author and publication year, country or region, target species or group, primary study objective, and detection approach. This table provides an overview of the geographical distribution, taxonomic coverage, research objectives, and methodological focus of the available freshwater mussel eDNA literature.

PRISMA-style flow diagram summarizing the sequential literature search strategy and study selection process. The workflow shows the identification, screening, eligibility assessment, and final inclusion of 49 peer-reviewed studies on environmental DNA (eDNA) applications for freshwater mussel monitoring.
Figure 1. PRISMA-style flow diagram summarizing the sequential literature search strategy and study selection process. The workflow shows the identification, screening, eligibility assessment, and final inclusion of 49 peer-reviewed studies on environmental DNA (eDNA) applications for freshwater mussel monitoring.
Temporal distribution of freshwater mussel environmental DNA (eDNA) studies included in the qualitative synthesis (2015–2025). Annual number of peer-reviewed freshwater mussel environmental DNA (eDNA) studies included in the qualitative synthesis (n = 49) published between 2015 and 2025. The figure illustrates the temporal growth of freshwater mussel eDNA research over the study period, with a marked increase in publications after 2020.
Figure 2. Temporal distribution of freshwater mussel environmental DNA (eDNA) studies included in the qualitative synthesis (2015–2025). Annual number of peer-reviewed freshwater mussel environmental DNA (eDNA) studies included in the qualitative synthesis (n = 49) published between 2015 and 2025. The figure illustrates the temporal growth of freshwater mussel eDNA research over the study period, with a marked increase in publications after 2020.

Table 1. Characteristics of the 49 freshwater mussel environmental DNA (eDNA) studies included in this review.

No.Primary objectiveDetection approachTarget species/groupCountry/regionReferences
1Biodiversity assessmentMetabarcodingUnionidae communityUSAHauck et al. (2023)
2Early invasive detectionSpecies-specific PCRLimnoperna fortuneiChinaXia et al. (2018)
3species-specific eDNA primersSpecies-specific PCRInvasive molluscsSpainClusa et al. (2017)
4Compare water eDNA, sediment eDNA,COI MetabarcodingMacrobenthosChinaZhan et al. (2025)
5Invasive mussel surveillanceSpecies-specific qPCRMytella strigataSingaporeYip et al. (2021)
6Downstream transport and abundance relationshipSpecies-specific probe-based qPCRUnio crassusGermanyStoeckle et al. (2021)
7Assay validationSpecies-specific qPCRActinonaias ligamentinaUSAKlymus et al. (2020a)
8Freshwater marshes using eDNAMetabarcodingFreshwater Bivalve communityFranceBoutifard and Mzali (2025)
9Targeted monitoringMultiplex qPCRFour imperiled musselsUSARodgers et al. (2020)
10Invasive detectionMultiplex qPCRDreissena spp.CanadaGingera et al. (2017)
11dPCR monitoringMultiplex dPCRFour endangered musselsSwedenSundberg et al. (2024)
12Assay developmentSpecies-specific TaqMan qPCRThree endangered unionidsUSAWaits et al. (2025)
13Decline monitoringqPCR (COI marker)Pronodularia japanensisJapanHata et al. (2022)
14Habitat and transportqPCR (COI hydrolysis probe assays)Anodonta, Gonidea, MargaritiferaUSAPreece et al. (2021)
15Depth and seasonal detectionqPCR (ND1 TaqMan assay)Margaritifera monodontaUSALor et al. (2020)
16eDNA vs hand surveySpecies-specific qPCRSinanodonta spp.JapanTogaki et al. (2020)
17Endangered species assaySpecies-specific TaqMan qPCRAlasmidonta heterodonUSASchill and Galbraith (2019)
18Large-scale conservationeDNA metabarcoding (16S rRNA, NGS)Freshwater bivalves (40 species)FrancePrié et al. (2023)
19Glochidia/reproductive eDNASpecies-specific TaqMan qPCRNodularia nipponensisJapanSugawara et al. (2022)
20Shedding and decaySpecies-specific TaqMan qPCRThree unionidsUSARuiz‐Ramos et al. (2024)
21Conservation planning16S eDNA metabarcoding (NGS)Freshwater bivalves (29 species)FranceNogueira et al. (2025)
22Abundance and reproductionSpecies-specific qPCRBuldowskia iwakawaiJapanWu et al. (2024)
23Sampling designSpecies-specific TaqMan qPCRSimpsonaias ambiguaCanadaPorto-Hannes et al. (2023)
24Shedding and transportSYBR qPCRLampsilis siliquoideaUSASansom and Sassoubre (2017)
25SeasonalityDroplet digital PCR (ddPCR)MargaritiferaNorwayWacker et al. (2019)
26Distribution assessmentMultiplex species-specific qPCRAnodonta nuttalliana and Margaritifera falcataUSARodgers et al. (2022)
27Lake samplingddPCREchyridella menziesiiNew ZealandSteiner et al. (2023)
28RediscoverySpecies-specific TaqMan qPCRSimpsonaias ambiguaUSADouglass et al. (2025)
29Community comparison16S metabarcodingUnionidae assemblagesCanadaCoghlan et al. (2021)
30Foundational protocol16S metabarcodingFreshwater bivalvesWestern Palearctic (Europe)Prié et al. (2021)
31North American metabarcodingCOI/ND1 metabarcodingUnionidae + MargaritiferidaeUSAKlymus et al. (2021)
32Field validationTaqMan qPCRFour at-risk unionidsCanadaCurrier et al. (2018)
33eDNA dilutionqPCR + IPCLampsilis fasciolaCanadaGasparini et al. (2020)
34Inhibition and rare-species detectionSpecies-specific TaqMan qPCRLasmigona decorataUSASchmidt et al. (2021)
35Host–mussel co-distributionCOI/12S metabarcodingFreshwater mussels (Unionidae) and host fishesUSADokai et al. (2023)
36Transport modelingSpecies-specific qPCR assayC. monodonta, E. capsaeformisUSASansom et al. (2024)
37Ecosystem structure using eDNAMetabarcodingMultitrophic biodiversityChinaChen et al. (2025)
38Invasion surveillanceMetabarcodingMolluscsGermany–South Africa (ballast water voyage)Ardura et al. (2015)
39Rare mussel protocolSpecies-specific PCR targeting mitochondrial ND1Anodontoides ferussacianusUSAHallyburton and Stark (2023)
40Assess species richness and distribution of sphaeriids using eDNA16S eDNA MetabarcodingSphaeriidae clamsUSAMarshall et al. (2024)
41Compare Nanopore MinION and Illumina MiSeq for invasive bivalve eDNA detection16S metabarcoding using UNIO/VENE primersInvasive bivalvesItaly/PortugalEgeter et al. (2022)
42Spawning/male mtDNA16S eDNA metabarcodingFreshwater mussels (Unionidae)USAMarshall et al. (2025)
43Evaluate high-volume D-HFUF eDNA capture for improved freshwater musselDual-marker mitochondrial metabarcoding (COI + ND1)Unionidae communityUSAMcKee et al. (2023)
44Develop a cost-effective eDNA protocol for surveying tropical freshwater musselsqPCR targeting mitochondrial COIRectidens sumatrensisMalaysia (Borneo)Zieritz et al. (2025)
45Develop and validate species-specific eDNA markersSpecies-specific conventional PCR targeting mitochondrial COIImperilled freshwater unionid musselsCanadaCho et al. (2016)
46Concentration-method evaluationMitochondrial 16S rDNA eDNA metabarcoding (NGS)Freshwater bivalvesSouth KoreaKim et al. (2025)
47Sample-type comparisoneDNA monitoringFreshwater mussels/bivalvesChinaLei Yao et al. (2023)
48species-specific eDNA assays for detectingSpecies-specific qPCRPopenaias popeii ((Texas hornshell))USAMason et al. (2025)
49Assess the historical presence and distribution of freshwater musselsSpecies-specific ddPCREchyridella spp (freshwater mussels)New ZealandThomson-Laing et al. (2025)

For each included study, we extracted the study objective, geographical location, target species or group, sampling strategy, laboratory methodology, detection approach, and principal findings. Detailed methodological variables, including sampling matrix, water volume, filtration method, filter pore size, sample preservation, DNA extraction protocol, molecular marker, analytical platform, and quality assurance/quality control (QA/QC) procedures, were synthesized across studies and are presented in Table 2. Evidence on validation against conventional surveys, detection performance, ecological interpretation, methodological limitations, conservation applications, and future research priorities was subsequently synthesized and critically evaluated (Table 3). Because many studies addressed multiple methodological and ecological themes, individual studies could contribute to more than one synthesis category. This final synthesis encompasses research from North America, Europe, and Asia, covering regional case studies (Pont et al., 2018; Doi et al., 2017; Stoeckle et al., 2016) and broader methodological reviews (Rees et al., 2014; Thomsen and Willerslev, 2015). Although not a comprehensive meta-analysis, this systematic approach provides a structured qualitative assessment of the current state of eDNA technology for monitoring and conserving freshwater mussels.

Table 2. Methodological synthesis of environmental DNA (eDNA) approaches used for freshwater mussel and bivalve detection, including sampling strategies, laboratory workflows, molecular methods, sequencing platforms, and quality assurance practices.

Methodological componentCategoryMethodological synthesisStudies (n)References
Sample matrixWater/seawater/lake water/tank waterWater was the dominant matrix for eDNA detection and monitoring.34Hauck et al., 2023; Stoeckle et al., 2021; Currier et al., 2018; Sansom et al., 2024
Water + sedimentUsed mainly for matrix comparison or enhanced detection.2Zhan et al., 2025; Schill and Galbraith, 2019
Water + artificial substrate/fiber bundleUseful for reproductive or glochidia-associated eDNA.1Sugawara et al., 2022
Water volume<500 mLMostly used in laboratory, mesocosm, or targeted low-volume designs.8Lor et al., 2020; Ruiz‐Ramos et al., 2024; Wu et al., 2024; Sansom and Sassoubre, 2017
500 mL–1 LCommon practical range for targeted monitoring.8Stoeckle et al., 2021; Waits et al., 2025; Preece et al., 2021; Kim et al., 2025
>1–5 LMost common field-survey range.16Hauck et al., 2023; Rodgers et al., 2020; Hata et al., 2022; Sansom et al., 2024
>10 L/high-volume samplingUsed to increase detection probability in broad-scale surveys.5Prié et al., 2021, Prié et al., 2023; Nogueira et al., 2025; Currier et al., 2018
Filter materialGlass fiber (GF/F, GF/C)Widely used due to good DNA capture and practical filtration.9Stoeckle et al., 2021; Hata et al., 2022; Togaki et al., 2020; Kim et al., 2025
Cellulose nitrate/cellulose acetate/nitrocelluloseCommon alternative for targeted eDNA monitoring.7Hauck et al., 2023; Preece et al., 2021; Porto-Hannes et al., 2023; Schmidt et al., 2021
Polycarbonate/nylon/PES/Supor membraneUsed depending on turbidity, clogging, and assay design.6Clusa et al., 2017; Yip et al., 2021; Sansom and Sassoubre, 2017; Sansom et al., 2024
Capsule/cartridge filtersUseful for large-volume sampling.4Prié et al., 2021, Prié et al., 2023; Nogueira et al., 2025; Gasparini et al., 2020
Filter strategyCentrifugation/flocculation/no membraneAlternative concentration strategies for small-volume or difficult samples.4Lor et al., 2020; Schill and Galbraith, 2019; Ruiz‐Ramos et al., 2024; Klymus et al., 2021
Pore size0.20–0.45 µmFavored for higher DNA capture.14Xia et al., 2018; Clusa et al., 2017; Preece et al., 2021; Dokai et al., 2023
0.70–1.20 µmPractical compromise between capture efficiency and filtration speed.9Hata et al., 2022; Togaki et al., 2020; Currier et al., 2018; Sansom et al., 2024
>1.20 µm/large-pore approachesOften used to reduce clogging in turbid systems.13Hauck et al., 2023; Gingera et al., 2017; Rodgers et al., 2020; Schmidt et al., 2021
PreservationFreezing/cold storageMost common preservation strategy.23Hauck et al., 2023; Stoeckle et al., 2021; Togaki et al., 2020; Kim et al., 2025
Ethanol/buffer preservationUseful for field transport and large-scale surveys.9Sundberg et al., 2024; Prié et al., 2021; Nogueira et al., 2025; Sansom et al., 2024
Immediate processing/ice/refrigerationUsed when rapid processing was possible.6Hata et al., 2022; Preece et al., 2021; Currier et al., 2018; Coghlan et al., 2021
Silica desiccantLess common but field-compatible.1Rodgers et al., 2020
DNA extractionDNeasy/Qiagen-based methodsDominant extraction approach across studies.16Hauck et al., 2023; Stoeckle et al., 2021; Preece et al., 2021; Schmidt et al., 2021
PowerWater/PowerFecal/Power-series methodsFrequently used for environmental filter samples.5Hauck et al., 2023; Clusa et al., 2017; Zhan et al., 2025; Kim et al., 2025
NucleoSpinUsed in selected dPCR/metabarcoding workflows.2Sundberg et al., 2024; Prié et al., 2021
CTAB/phenol–chloroformLess common but useful in targeted workflows.2Yip et al., 2021; Douglass et al., 2025
Other commercial or modified protocolsShows continued variation in extraction workflows.9Xia et al., 2018; Hata et al., 2022; Lor et al., 2020; Ruiz‐Ramos et al., 2024
Genetic markerCOIMost common marker for species-level detection.20Xia et al., 2018; Clusa et al., 2017; Rodgers et al., 2020; Klymus et al., 2021
16S rRNACommon in freshwater bivalve metabarcoding.7Prié et al., 2021, Prié et al., 2023; Coghlan et al., 2021; Kim et al., 2025
ND1/NADH-region markersImportant for species-specific unionid assays.8Klymus et al., 2020b; Lor et al., 2020; Porto-Hannes et al., 2023; Gasparini et al., 2020
12S/18S/ITS/Cyt b/multi-markerUsed for broader biodiversity or specialized detection goals.8Hauck et al., 2023; Stoeckle et al., 2021; Waits et al., 2025; Dokai et al., 2023
Molecular approachTargeted qPCR/TaqMan/SYBR/probe assaysDominant approach for species-specific detection.23Currier et al., 2018; Hata et al., 2022; Waits et al., 2025; Sansom et al., 2024
Multiplex qPCR/multiplex dPCREnables simultaneous detection of multiple targets.2Gingera et al., 2017; Rodgers et al., 2020
ddPCR/dPCREmerging method for rare or low-copy detections.3Sundberg et al., 2024; Wacker et al., 2019; Steiner et al., 2023
MetabarcodingSupports community-level biodiversity assessment.10Hauck et al., 2023; Prié et al., 2021; Coghlan et al., 2021; Klymus et al., 2021
Model-assisted data analysisIncreasingly used for transport modelling, survey planning, and ecological interpretation.6Porto-Hannes et al., 2023; Sansom and Sassoubre, 2017; Nogueira et al., 2025; Sansom et al., 2024
Sequencing/analytical platformqPCR/dPCR assay outputMost studies relied on targeted assay output rather than HTS.25Stoeckle et al., 2021; Currier et al., 2018; Waits et al., 2025; Wacker et al., 2019
Sanger confirmationUsed mainly for assay verification.5Xia et al., 2018; Clusa et al., 2017; Yip et al., 2021; Togaki et al., 2020
Illumina MiSeqMain metabarcoding sequencing platform.6Hauck et al., 2023; Prié et al., 2021; Klymus et al., 2021; Dokai et al., 2023
HiSeq/NextSeq/NovaSeq/HTS/NGSUsed in larger or broader metabarcoding studies.5Zhan et al., 2025; Prié et al., 2023; Nogueira et al., 2025; Boutifard and Mzali, 2025
Quality assurance/quality control (QA/QC)Field/laboratory blanks or negative controlsCore contamination-control practice.23Hauck et al., 2023; Xia et al., 2018; Prié et al., 2021; Sansom et al., 2024
Positive controls/specificity validationEssential for assay reliability.16Klymus et al., 2020a; Rodgers et al., 2020; Hata et al., 2022; Waits et al., 2025
Inhibition testing/IPCImportant in turbid or humic freshwater systems.13Yip et al., 2021; Preece et al., 2021; Schmidt et al., 2021; Gasparini et al., 2020
LOD/LOQ assessmentStrengthens analytical validation.5Klymus et al., 2020a; Lor et al., 2020; Porto-Hannes et al., 2023; Sansom et al., 2024
Technical replicates/occupancy modellingImproves confidence in low-density detections.7Prié et al., 2023; Coghlan et al., 2021; Steiner et al., 2023; Preece et al., 2021

Studies (n) are not mutually exclusive because a single study may contribute to multiple methodological categories. The Studies (n) column indicates the total number of studies assigned to each category based on the coded master database. Representative studies are provided as illustrative examples rather than an exhaustive list of all included studies. Counts were derived only from studies for which sufficient methodological information was available.

Table 3. Evidence synthesis of environmental DNA (eDNA) studies on freshwater mussels highlighting major findings, conservation applications, methodological limitations, and future research priorities.

Evidence themeMajor findingConservation implication/future prioritySupporting studies (n)References
ValidationValidation against conventional surveys and experimental assaysStrong evidence supports eDNA as a reliable complementary tool for freshwater mussel monitoring, although assay validation remains essential before routine application.34Hauck et al., 2023; Currier et al., 2018; Klymus et al., 2020a; Prié et al., 2021
Detection performanceeDNA matched or exceeded conventional detectionSupports the use of eDNA for rapid screening and prioritization of follow-up field surveys.8Hauck et al., 2023; Prié et al., 2021; Currier et al., 2018; Coghlan et al., 2021
Sensitive detection of rare, endangered, or imperiled musselsDemonstrates the greatest conservation value of eDNA for threatened freshwater mussels.15Schill and Galbraith, 2019; Waits et al., 2025; Klymus et al., 2021; Sansom et al., 2024
Early detection of invasive bivalves and molluscsEnables early surveillance and rapid management intervention.6Xia et al., 2018; Clusa et al., 2017; Yip et al., 2021; Gingera et al., 2017
Biodiversity assessmentMetabarcoding recovered community-level bivalve and mussel diversityExtends eDNA applications from single-species detection to ecosystem-scale biodiversity assessment.15Hauck et al., 2023; Prié et al., 2021; Coghlan et al., 2021; Kim et al., 2025
Ecological interpretationeDNA concentration was associated with abundance, density, CPUE, or biomassUseful for estimating relative abundance, although not yet suitable for accurate population quantification.7Stoeckle et al., 2021; Togaki et al., 2020; Wu et al., 2024; Currier et al., 2018
eDNA transport influenced spatial distribution and downstream detectionHydrological processes should be incorporated into sampling design and data interpretation.7Stoeckle et al., 2021; Preece et al., 2021; Porto-Hannes et al., 2023; Sansom et al., 2024
Seasonal, reproductive, and spawning-related processes affected detection successSampling season should be standardized or selected according to study objectives.8Lor et al., 2020; Sugawara et al., 2022; Wu et al., 2024; Wacker et al., 2019
Survey designSpatial coverage, sampling depth, lentic environments, and high-volume filtration influenced detection probabilityOptimized sampling design improves detection efficiency and reduces false negatives.8Lor et al., 2020; Steiner et al., 2023; Kim et al., 2025; McKee et al., 2023
Methodological limitationPCR inhibition and environmental factors (e.g., turbidity, pH, water quality) reduced detection efficiencyRoutine inhibition testing and inhibitor-removal procedures should be incorporated into eDNA workflows.12Schmidt et al., 2021; Stoeckle et al., 2021; Hauck et al., 2023; Yip et al., 2021
False negatives occurred primarily in low-density populations and environmentally challenging habitatsMultiple field samples and PCR replicates are recommended for reliable species detection.9Coghlan et al., 2021; Wacker et al., 2019; Rodgers et al., 2022; Gasparini et al., 2020
Primer bias, marker resolution, and incomplete reference databases limited taxonomic identificationExpanding regional reference databases and improving marker design remain important priorities.6Hauck et al., 2023; Coghlan et al., 2021; Kim et al., 2025; Dokai et al., 2023
Presence–absence detection remained more reliable than quantitative abundance estimationConventional ecological surveys remain necessary when demographic information is required.8Clusa et al., 2017; Sansom and Sassoubre, 2017; Ruiz‐Ramos et al., 2024; Wu et al., 2024
Conservation applicationDistribution assessment, rediscovery of rare species, and conservation planningeDNA provides an effective decision-support tool for conservation planning, rediscovery of remnant populations, and prioritization of management actions.11Prié et al., 2023; Nogueira et al., 2025; Douglass et al., 2025; Hallyburton and Stark, 2023
Integrated monitoring of mussels, host fishes, and aquatic biodiversityMulti-taxon monitoring offers a more comprehensive understanding of freshwater ecosystem health.3Dokai et al., 2023; Chen et al., 2025; Hauck et al., 2023
Research priorityProtocol standardization and assay validationHarmonized protocols are essential for reproducibility, regulatory acceptance, and cross-study comparisons.11Klymus et al., 2020a; Waits et al., 2025; Rodgers et al., 2020; Prié et al., 2021
Multi-marker and integrated molecular approachesCombining complementary markers can improve taxonomic resolution and biodiversity coverage.9Hauck et al., 2023; Klymus et al., 2021; Dokai et al., 2023; Chen et al., 2025
Model-assisted interpretation, including occupancy, species distribution, transport, and hydrodynamic modelsIntegrating statistical and hydrological models will strengthen ecological interpretation and management applications.10Porto-Hannes et al., 2023; Nogueira et al., 2025; Schmidt et al., 2021; Sansom et al., 2024
Emerging technologies (portable sequencing, AI-assisted bioinformatics, and eRNA)Portable sequencing has been demonstrated, whereas AI-assisted bioinformatics and eRNA remain promising future research directions requiring further investigation.1Egeter et al., 2022

Supporting studies (n) are not mutually exclusive because a single study may contribute to multiple evidence themes. The Supporting studies (n) column indicates the total number of studies assigned to each evidence category based on the coded master database. Representative studies are provided as illustrative examples rather than an exhaustive list of all included studies. Counts were derived only from studies for which sufficient information was available.

2.1 Qualitative assessment of methodological quality

Because the included studies comprised heterogeneous methodological and observational investigations rather than intervention studies, no single established numerical risk-of-bias tool was considered suitable for all studies. Instead, each study was evaluated using a structured qualitative appraisal of methodological attributes relevant to freshwater mussel eDNA monitoring, including sampling design, filtration and preservation methods, DNA extraction protocols, molecular detection methods, QA/QC procedures, ecological validation, and acknowledgment of study limitations. These assessments, presented in Sections 4–7, and the method comparisons in Tables 1-3 are based on these evaluations.

3 Conventional freshwater mussel survey methods: strengths, limitations, and regulatory considerations

3.1 Strengths of conventional freshwater mussel surveys

Field surveys provide the only direct evidence of live mussels. They can be used to collect morphometric data (e.g., age class and size) and to estimate recruitment, mortality, and size-frequency distributions (Simmons et al., 2021; Dolson et al., 2023). Since these methods involve physically locating individuals, they are useful for translocation and reintroduction efforts and provide detailed population information that eDNA cannot yet provide (Hart et al., 2016; U.S. Department of the Interior, 2023). Conventional surveys also provide density estimates, occupancy information, demographic structure, and individual health assessments, which remain difficult to infer reliably from eDNA data alone. Additionally, tactile surveys enable habitat evaluation by comparing mussel distribution with substrate type, flow conditions, and water quality (Haag, 2012), all of which are crucial for recovery planning and regulatory compliance.

3.2 Practical and logistical challenges

However, tactile surveys are costly and resource intensive. Large-river diver-based surveys often involve trained divers, boats, and safety precautions, they can be costly and resource-intensive and may involve disturbance associated with diver-based specimen searches (Peters et al., 2019). Safety concerns arise due to strong currents, poor visibility, and the risk of entanglement (Kurth et al., 2007). Detection can be low due to mussels burrowing into sediments or occurring at low densities, leading to false absences despite extensive effort. Meador et al. (2011) reported capture probabilities ranging from 8–20% for Alasmidonta arcula, Lampsilis dolabraeformis, Lampsilis splendida, and Pyganodon gibbosa in a large lowland river, while Reid (2016) reported particularly low detection probabilities for Triangle Floater (Alasmidonta undulata) during short-duration timed-search surveys. These limitations restrict survey coverage and can compromise the representativeness of results. Recent advances, including underwater imaging systems, side-scan sonar, remotely operated vehicles (ROVs), occupancy modelling, and geographic information system (GIS)-assisted survey planning, have improved survey efficiency in some aquatic environments (Dolson et al., 2023). Despite these advances, these methods still rely on visual or specimen verification and are generally labor-intensive, especially for deep, turbid or large river systems.

3.3 Regulatory and conservation implications

The outcomes of traditional surveys carry legal significance. Even detecting a single protected species can delay or alter infrastructure projects, such as dredging, bridge construction, and pipeline installation. Conversely, false negatives pose the risk of habitat destruction if a species is actually present but not observed (Akani et al., 2022). Survey results are used to inform regulatory decisions, including conservation planning, environmental impact assessments, species recovery programs, and endangered species-related legislation (Dokai et al., 2023). As a result, false negatives can either postpone conservation measures or risk habitat disturbance. This dual risk highlights the importance of accurate survey methods, yet imperfect detection probabilities may still introduce uncertainty into conservation planning, permitting decisions, and species recovery programs (Buckland and Johnston, 2017; Akani et al., 2022). Overall, conventional freshwater mussel surveys remain indispensable for estimating population size, demographic structure, recruitment, and habitat condition (Harvey et al., 2020; Kersting and García-March, 2017); however, their relatively high cost, logistical constraints, and imperfect detection highlight the need for complementary molecular approaches (Peters et al., 2019; Meador et al., 2011; Reid, 2016). A comparison of the strengths, limitations, and conservation applications of conventional survey methods and eDNA-based approaches is presented in Table 4. This comparison provides the foundation for the following sections, which examine how advances in eDNA technologies can address many of the limitations associated with traditional freshwater mussel surveys while complementing, rather than replacing, conventional monitoring methods.

Table 4. Comparison of conventional freshwater mussel survey methods and environmental DNA (eDNA) approaches for monitoring, conservation, and regulatory applications.

AspectTraditional surveys (divers/quadrats)eDNA approachesNotes: strengths/weaknesses
Effort Required60–150 diver-hours per km of river; multi-day surveys often required (Meador et al., 2011).1–5 L water samples per site; dozens of sites can be sampled per day by one person (Sepulveda et al., 2020).eDNA allows watershed-scale coverage in a single campaign, while traditional surveys are limited by personnel and time.
Safety RisksRisk from strong currents, entanglement, low visibility; SCUBA safety teams required (Meador et al., 2011).Minimal physical risk; surface sampling only.eDNA reduces diver exposure, particularly valuable for high-flow or hazardous rivers.
Detection ProbabilityTypically, 0.39–0.45; biased toward surface-dwelling mussels; rare species often missed (Pandolfo et al., 2017).>0.8 detection probability; often detects species missed by tactile surveys (Boussarie et al., 2018).eDNA reduces false negatives, but cannot distinguish live vs. dead organisms without additional context.
Data OutputProvides counts, size-frequency distributions, recruitment data, and habitat associations (Haag, 2012).Provides presence/absence; quantitative estimates possible with qPCR/ddPCR but not direct counts (Doi et al., 2015).Traditional surveys remain essential for demographic studies, relocation, and propagation programs.
Cost per SiteHigh (personnel, dive equipment, boat); often limits spatial coverage.40–70% cheaper per site when used for screening; cost-efficient for multi-species monitoring (Smart et al., 2015).eDNA lowers cost per detection event, allowing broader coverage with limited budgets.
Regulatory StatusFully accepted under legal frameworks (ESA, WFD); mandatory for permitting decisions.Emerging tool; accepted as complementary evidence (Hering et al., 2018).Regulatory confidence is growing but full replacement of tactile surveys is rare.

4 Advances in eDNA approaches for freshwater mussel monitoring

The use of eDNA to study mussels is rapidly evolving from single-species proof-of-concept studies to a mature tool capable of surveying entire communities for conservation management. Advances in molecular methods, such as sequencing and bioinformatics, have greatly increased the efficiency of eDNA detection and enabled broader ecological insights (Deiner et al., 2017; Ruppert et al., 2019).

4.1 Development of freshwater mussel eDNA research

Freshwater mussel eDNA research has expanded rapidly over the past decade, reflecting the increasing adoption of molecular approaches for biodiversity assessment and conservation (Figure 2). The 49 studies included in this review (Table 1) were published between 2015 and 2025, with publication frequency increasing markedly after 2020 and peaking in 2025. The geographic distribution of the included studies is summarized in Figure 3. Geographically, research has been dominated by North America, with the United States accounting for 38.8% of the reviewed studies, followed by Canada (12.2%), China (8.2%), Japan (8.2%), France (6.1%), and New Zealand (4.1%), while the remaining studies were distributed across Europe and Asia (Table 1). This geographic distribution echoes the strong research focus on freshwater mussel conservation in areas with imperiled unionids that are prime management targets, reinforcing the need for future validation in under-represented regions. The characteristics of the studies included in this review also highlighted three key stages in the development of eDNA research with freshwater mussels. Early research focused on assay development and proof-of-concept experiments to identify single threatened or invasive taxa. As freshwater mussel eDNA methods became more reliable, research expanded beyond assay development to examine ecological applications, including abundance estimation, downstream DNA transport, seasonal variation, and habitat-specific detection. More recent studies have increasingly used high-throughput metabarcoding and community-level analyses to support biodiversity assessment, conservation planning, and ecosystem monitoring. This trajectory highlights the evolution of freshwater mussel eDNA work from a simple species-detection assay to a fundamental platform for ecological monitoring and conservation management.

Geographic distribution of freshwater mussel environmental DNA (eDNA) studies included in the qualitative synthesis. Geographic distribution of the 49 peer-reviewed freshwater mussel environmental DNA (eDNA) studies included in the qualitative synthesis. Bars indicate the number and percentage of studies conducted in each country or region. The United States contributed the largest proportion of studies (19; 38.8%), followed by Canada (6; 12.2%), China (4; 8.2%), Japan (4; 8.2%), France (3; 6.1%), New Zealand (2; 4.1%), and other countries or regions (11; 22.4%).
Figure 3. Geographic distribution of freshwater mussel environmental DNA (eDNA) studies included in the qualitative synthesis. Geographic distribution of the 49 peer-reviewed freshwater mussel environmental DNA (eDNA) studies included in the qualitative synthesis. Bars indicate the number and percentage of studies conducted in each country or region. The United States contributed the largest proportion of studies (19; 38.8%), followed by Canada (6; 12.2%), China (4; 8.2%), Japan (4; 8.2%), France (3; 6.1%), New Zealand (2; 4.1%), and other countries or regions (11; 22.4%).

The literature reviewed also corroborates a discernible evolution in both scientific aims and molecular technologies. The initial studies mainly focused on the development of species-specific assays for individual endangered or invasive freshwater mussels; by contrast, recent studies more frequently used metabarcoding approaches to characterize entire communities of freshwater mollusks to support biodiversity assessments and conservation planning, transport modeling, abundance estimation, and ecosystem-level monitoring. Consistent with this transition, qPCR-based methods represented the most frequently used detection approach (46.0% of reviewed studies), followed by metabarcoding approaches (32.0%), whereas conventional PCR and digital PCR/ddPCR were applied less frequently, mainly for assay development, validation, and rare-species detection (Table 1). Collectively, these findings demonstrate a progressive shift from targeted species detection toward community-level ecological assessment, establishing eDNA as an increasingly mature and versatile tool for freshwater mussel research and conservation. These research trends provide the foundation for the technological developments discussed below and the methodological and ecological syntheses presented in subsequent sections.

4.2 Evolution of molecular detection technologies

eDNA detection for freshwater mussels has evolved from conventional PCR-based assays to qPCR, ddPCR, and high-throughput metabarcoding approaches, each providing distinct analytical advantages and limitations depending on study objectives (Valentini et al., 2016; Taberlet et al., 2018). Conventional PCR is supported for primary development and confirmation of presence or absence, yet it offers lower analytical sensitivity than quantitative methods. qPCR has emerged as the dominant platform due to its high sensitivity, quantitative nature, and relatively low cost (Wood et al., 2020) and utility for regular monitoring of endangered freshwater mussels. Consistent with this trend, qPCR-based approaches accounted for 46% of the reviewed studies (Table 1). ddPCR further improves sensitivity by partitioning reactions into thousands of droplets, enabling absolute DNA quantification without standard curves and increasing robustness when target DNA concentrations are extremely low or PCR inhibitors are present (Wacker et al., 2019). Consequently, ddPCR is particularly valuable for detecting rare or highly threatened mussel populations. In contrast, metabarcoding enables simultaneous detection of multiple taxa from a single environmental sample (Prié et al., 2023; Marshall et al., 2022). Although metabarcoding generally provides broader ecological information than species-specific assays, its performance is influenced by primer bias, sequencing depth, and the completeness of reference databases (Klymus et al., 2020b; Prié et al., 2021). No single molecular approach is optimal for all monitoring objectives. Platform selection should therefore be guided by the study goal: species-specific assays generally provide greater sensitivity for detecting rare or threatened target species, whereas metabarcoding is more efficient for community-level biodiversity assessments and simultaneous detection of multiple taxa. These approaches are increasingly regarded as complementary components of integrated freshwater mussel monitoring programs rather than as competing alternatives. From a practical perspective, qPCR is commonly used for routine monitoring of target species because it generally offers relatively high throughput and lower analytical costs. ddPCR typically requires more specialized equipment and may involve higher per-sample costs and longer processing times, but it can provide more precise quantification at low target concentrations and greater tolerance to PCR inhibition under some conditions (Doi et al., 2015; Wood et al., 2019; Guri et al., 2024). Metabarcoding requires sequencing and bioinformatic analysis and may be less sensitive than a well-validated species-specific assay for individual rare taxa; however, it can efficiently characterize multiple taxa simultaneously and is therefore particularly useful for community-level biodiversity assessments (Miya et al., 2015; McColl-Gausden et al., 2023).

4.3 Advances in bioinformatics

Advances in bioinformatics have substantially improved the accuracy and reproducibility of freshwater mussel eDNA analyses. Amplicon sequence variant approaches, including Divisive Amplicon Denoising Algorithm 2 (DADA2), UNOISE denoising algorithm, and Deblur, are now widely used as alternatives to conventional operational taxonomic unit (OTU) clustering. These methods model or remove sequencing errors to infer exact sequence variants, potentially providing single-nucleotide resolution and improving the reusability and comparability of results across datasets generated from the same marker region, and facilitating direct sequence comparison among studies and against reference databases (Callahan et al., 2016, Callahan et al., 2017). However, OTU-based approaches remain in use, and the choice of bioinformatic method can substantially affect estimates of diversity and community composition; therefore, amplicon sequence variants (ASV)-based analyses should not be assumed to outperform OTU clustering in every application (Joos et al., 2020; Chiarello et al., 2022; Nilsen et al., 2024). Despite advancements, bioinformatics performance remains heavily reliant on the quality and taxonomic coverage of reference sequence databases. This parameter is especially relevant to freshwater mussels, given their long evolutionary histories and the fact that many rare, endemic or geologically restricted species are not yet included in public databases, resulting in lower taxonomic resolution, leading to higher rates of unassigned sequences (Klymus et al., 2020a; Prié et al., 2021).

5 From field to laboratory: sampling, preservation, and molecular approaches in unionid mussel eDNA studies

Field protocols are crucial to the success of any eDNA study; sampling choices influence detection probabilities and repeatability. For freshwater mussels, which can have patchy distributions and release DNA in low amounts, the design of the sampling strategy, filtration method, and preservation protocol is particularly important (Figure 4). Table 2 synthesizes methodological information from the 49 reviewed studies and confirms substantial variation in sampling matrixes, water volumes, filtration strategies, pore sizes, preservation methods, DNA extraction protocols, molecular markers, analytical platforms, and quality assurance/quality control (QA/QC) procedures. This methodological heterogeneity remains one of the principal barriers to protocol harmonization and direct comparison among freshwater mussel eDNA studies. Despite this variability, several consistent methodological trends emerged across the reviewed literature (Table 2). Water was the dominant sampling matrix (34 studies), moderate- to high-volume sampling (>1–5 L) represented the most common field strategy, freezing remained the primary preservation approach, silica-based commercial extraction kits were the predominant DNA extraction method, and targeted qPCR assays were the most frequently used molecular approach, followed by metabarcoding. Although these findings suggest increasing convergence toward common laboratory workflows, considerable variation persists in filtration materials, pore sizes, molecular markers, sequencing platforms, and QA/QC procedures, underscoring the need for standardized methodologies before widespread regulatory implementation.

Schematic workflow of eDNA analysis for freshwater mussel biodiversity assessment, including sampling, DNA extraction, amplification, sequencing, and bioinformatics. The workflow illustrates the major steps in freshwater mussel environmental DNA (eDNA) analysis, beginning with water sampling, filtration and preservation, DNA extraction, molecular detection using polymerase chain reaction (PCR), droplet digital PCR (ddPCR), or metabarcoding, followed by sequencing (Illumina or Nanopore), bioinformatic analysis, and taxonomic assignment to generate biodiversity information for freshwater mussels and associated aquatic communities. The workflow represents a generalized framework synthesized from the methodologies reported in the reviewed studies.
Figure 4. Schematic workflow of eDNA analysis for freshwater mussel biodiversity assessment, including sampling, DNA extraction, amplification, sequencing, and bioinformatics. The workflow illustrates the major steps in freshwater mussel environmental DNA (eDNA) analysis, beginning with water sampling, filtration and preservation, DNA extraction, molecular detection using polymerase chain reaction (PCR), droplet digital PCR (ddPCR), or metabarcoding, followed by sequencing (Illumina or Nanopore), bioinformatic analysis, and taxonomic assignment to generate biodiversity information for freshwater mussels and associated aquatic communities. The workflow represents a generalized framework synthesized from the methodologies reported in the reviewed studies.

5.1 Sampling design and replication

Site selection should account for both hydrological conditions and freshwater mussel ecology. Sampling upstream and downstream of known or suspected mussel beds can help evaluate local occurrence while accounting for downstream eDNA transport (Sansom and Sassoubre, 2017; Preece et al., 2021). Spatial replication, including multiple sampling locations within a river reach and multiple water samples per location, can improve detection probability and capture variation associated with habitat type, flow conditions, and the patchy distribution of unionid populations. Temporal replication is also important because reproductive activity, discharge, temperature, and season can influence eDNA shedding, transport, degradation, and detection (Stoeckle et al., 2017; Marshall et al., 2025). Consistent with Table 2, the reviewed studies used widely varying sampling designs across river types, monitoring objectives, and target species, indicating a need for explicit justification of spatial and temporal replication rather than a single standardized design for all freshwater mussel surveys.

5.2 Water volume and filtration

Filtration is the most common method for concentrating on eDNA from water. Typically, glass fiber filters (0.7–1.2 μm) and mixed cellulose ester filters (0.45 μm) are used, but selecting the appropriate pore size involves balancing filtration volume with clogging risk in turbid rivers. Mussel habitats often have high suspended sediment loads, which can cause clogging. In such cases, prefiltering or using large-pore filters may allow for processing more water while still capturing sufficient DNA. Consistent use of the same filter type and pore size across a project is important for reliable detection probabilities (Spens et al., 2017). Table 2 indicates that water volumes greater than 1 L were most commonly used in field surveys, whereas larger pore-size filters were frequently selected in turbid systems to reduce clogging, illustrating the practical balance between DNA capture efficiency and field feasibility.

5.3 Preservation and storage

Preservation methods must stabilize DNA until it is processed in the laboratory. Ethanol and long-term freezing are common, but field-compatible options, such as DNAzol and Longmire’s solution, are increasingly used when samples cannot be kept cold immediately (Renshaw et al., 2015). For unionid mussels, which often contain inhibitors such as humic substances (Schrader et al., 2012), extraction kits may require additional purification steps or inhibitor-removal columns to ensure successful PCR amplification (McKee et al., 2015). Standardization of extraction procedures enhances comparability, and including negative controls in the field helps differentiate contamination from future detections. Cold-chain transport of samples, which enhances DNA integrity (Rees et al., 2014), is likely to be supported by appropriate field-handling practices. Samples should, whenever possible, be kept on ice in the field and until transferred to −20 °C or −80 °C freezers. Long-term storage at room temperature can cause rapid DNA degradation, especially in hot climates (Robinson et al., 2021). The methodological synthesis further indicated that freezing was the most commonly reported preservation strategy, whereas ethanol- and buffer-based methods were more often used in studies where maintaining a cold chain was difficult or impractical, illustrating how field logistics can influence protocol selection.

5.4 DNA extraction methods

Many unionid eDNA investigations have used commercially available silica-based extraction kits (e.g., Qiagen DNeasy, PowerWater, and similar protocols) because of their standardized methods and reproducibility. Nonetheless, extraction efficiency is highly dependent on the filter material, pore size, and preservation technique, and little work has systematically compared extraction methods for unionids. The variation in methods underscored a general need to standardize extraction protocols to improve the utility of mussel eDNA detection (Lopes‐Lima et al., 2017; Stoeckle et al., 2021). Table 2 shows that Qiagen DNeasy-based methods predominated across the reviewed literature; however, PowerWater, NucleoSpin, CTAB, and modified laboratory protocols were also employed, demonstrating that no universally adopted extraction workflow has yet emerged.

5.5 Inhibitor removal strategies

Freshwater systems are often PCR-inhibiting environments due to humic substances, sediment, and organic matter, which reduce amplification efficiency and can lead to false negatives. Many unionid eDNA studies include inhibitor removal using commercial kits or other purification methods, as well as inhibitor-tolerant polymerases, to reduce PCR inhibition; however, the use of these techniques varies across investigations. Little comparative evidence on inhibitor-removal methods in unionid monitoring is available, underscoring the importance of standardized laboratory procedures (Goldberg et al., 2016; Harper et al., 2019). The reviewed studies also showed considerable variation in the implementation of QA/QC procedures, including inhibition testing, negative controls, positive controls, and technical replicates, indicating that quality assurance practices have improved but remain inconsistently reported among freshwater mussel eDNA investigations.

5.6 Molecular markers and analytical platforms

Several mitochondrial markers have been used to detect species in unionid mussel eDNA studies to date (e.g., COI, 16S and ND1) (Coghlan et al., 2021; Klymus et al., 2021). Table 2 shows that COI remained the most frequently used genetic marker for species-specific detection, whereas 16S rRNA and ND1 were widely applied in metabarcoding and unionid-specific assays. More recent studies have increasingly adopted multi-marker strategies and model-assisted analytical frameworks to improve taxonomic resolution and strengthen ecological interpretation (Prié et al., 2023; Marshall et al., 2022).

5.7 Implications for methodological standardization

Table 2 highlights that, although several methodological components are converging toward common practice, considerable variation persists across the freshwater mussel eDNA workflow. Water sampling, glass fiber filtration, freezing-based preservation, column-based DNA extraction, COI-targeted assays, and qPCR have emerged as the most frequently adopted approaches, whereas sequencing platforms, metabarcoding workflows, and quality assurance practices remain more heterogeneous. Together, these standards will enable eDNA monitoring in freshwater mussels to gain further regulatory acceptance and broad practical application by harmonizing of sampling protocols, laboratory procedures, QA/QC frameworks, and reporting standards, thereby improving reproducibility and facilitating cross-study comparisons.

6 Ecological interpretation of unionid mussel eDNA signals

Interpretation of freshwater mussel eDNA signals extends beyond methodological performance and requires consideration of the ecological processes that influence DNA production, transport, persistence, and detection (Figure 5). Table 3 synthesizes the major ecological findings, methodological limitations, conservation applications, and future research priorities identified across the 49 reviewed studies. Collectively, the evidence reflects that eDNA detection is governed by complex biological, environmental, and methodological factors. Consequently, ecological context is essential for interpreting eDNA results and applying them effectively in freshwater mussel conservation and management.

Conceptual framework of processes controlling unionid environmental DNA (eDNA) detection probability. The figure was generated using BioRender software ([https://BioRender.com/xot7khl](https://BioRender.com/xot7khl)). Conceptual framework showing how biological eDNA shedding, DNA degradation, PCR inhibition, and stochastic detection collectively influence freshwater mussel eDNA detection probability. The framework is synthesized from the reviewed studies.
Figure 5. Conceptual framework of processes controlling unionid environmental DNA (eDNA) detection probability. The figure was generated using BioRender software (https://BioRender.com/xot7khl). Conceptual framework showing how biological eDNA shedding, DNA degradation, PCR inhibition, and stochastic detection collectively influence freshwater mussel eDNA detection probability. The framework is synthesized from the reviewed studies.

6.1 Ecological factors influencing eDNA detection and interpretation

The reviewed literature indicates that ecological processes strongly influence freshwater mussel eDNA detection and interpretation (Table 3). A few studies reported associations between eDNA concentration and mussel abundance, density, biomass, or catch per unit effort (CPUE) (Stoeckle et al., 2021; Togaki et al., 2020; Wu et al., 2024; Currier et al., 2018), suggesting that eDNA may provide useful estimates of relative abundance under appropriate environmental conditions. However, these relationships were not consistently linear and were influenced by hydrological conditions, sampling strategy, DNA degradation, and analytical methodology. Consequently, current evidence supports the use of eDNA for relative rather than absolute population assessment.

Another major ecological transport factor is hydrological transport. Seven studies showed that the transport of eDNA downstream can affect spatial distribution, particularly in flowing river systems (Table 3). Detection of eDNA might thus occur downstream of locations that support an occurrence, complicating the assessment of species presence and the delineation of occupied reaches. These results highlight the necessity of including definitions of hydrological characteristics in survey design and analysis when monitoring rare or threatened freshwater mussel populations.

Seasonal biological processes also influence detection probability. Eight studies reported that reproductive activity, spawning periods, and seasonal environmental variation significantly affected eDNA detection success (Table 3). Increased DNA release during reproductive periods may enhance detection sensitivity, whereas seasonal changes in flow conditions, temperature, and microbial activity may accelerate DNA degradation or alter transport dynamics. Consequently, sampling seasons should be standardized or explicitly justified when comparing results among studies.

Sampling design further contributed to variation in detection. Eight studies identified sampling location, water depth, filtration volume, and spatial replication as important determinants of eDNA recovery. Appropriate spatial and temporal replication, therefore, remains essential for reducing false-negative detections and improving confidence in freshwater mussel monitoring programs. Taken together, the reviewed evidence indicates that freshwater mussel eDNA signals should be interpreted within their ecological context rather than as direct indicators of local population size or occupancy. Integrating biological knowledge with hydrological and environmental information substantially improves the reliability of eDNA-based conservation assessments.

6.2 Conservation implications and remaining uncertainties

Despite substantial methodological advances, several important limitations remain (Table 3). Twelve studies identified PCR inhibition, turbidity, pH, or poor water quality as major factors that reduced detection success, while nine studies reported false-negative detections in low-density populations or in environmentally challenging systems. These findings emphasize the importance of adequate field replication, inhibitor testing, and robust laboratory quality assurance procedures.

The reviewed studies also highlighted limitations associated with molecular assays. Six studies reported that primer bias, marker selection, or incomplete reference databases reduced taxonomic resolution and influenced species identification, particularly in metabarcoding applications. Continued expansion of regional reference databases and further assay validation are therefore essential for improving detection accuracy.

Although several studies have reported positive relationships between eDNA concentration and mussel abundance, the evidence available to date indicates that eDNA is more reliable for detecting species presence than for estimating population size or demographic structure. Accordingly, eDNA is currently best used as a complementary monitoring tool when demographic information is required; however, continued advances in quantitative assays, hydrological modelling, and occupancy-based approaches may improve its future capacity to support population-level inference. The conservation value of freshwater mussel eDNA monitoring is nevertheless strongly supported by the available evidence. Table 3 reveals that eDNA has been successfully applied for validation against conventional surveys, detection of rare and endangered species, biodiversity assessment, conservation planning, and rediscovery of previously undetected populations. Future research should prioritize protocol standardization, integration of hydrological and occupancy models, expansion of reference databases, and multi-marker approaches to further improve ecological interpretation and support broader regulatory implementation of freshwater mussel eDNA monitoring (Goldberg et al., 2016).

7 Regulatory adoption and global implementation framework for freshwater mussel eDNA

7.1 Current regulatory status and validation requirements

eDNA is increasingly being incorporated into freshwater mussel conservation and biodiversity monitoring as a complementary tool to confirm the presence of rare, threatened, and endangered species. For example, the U.S. Fish and Wildlife Service has incorporated eDNA into conservation genetics and monitoring programs, demonstrating its value for supporting conventional surveys and informing management decisions (Waits et al., 2025). Across the reviewed literature, eDNA consistently demonstrated high detection sensitivity when appropriate sampling strategies, validated molecular assays, and rigorous quality assurance procedures were implemented (Table 3). However, regulatory acceptance still requires broad assay validation, standardized protocols, reproducibility across laboratories and detailed reconciliation of false-positive and false-negative detection rates. Hence, freshwater mussel eDNA is presently viewed as a supplemental line of evidence rather than an absolute substitute for traditional surveys, especially where demographic or habitat data are needed to inform legal or regulatory decisions. Figure 6 summarizes a framework for assay development, validation, standardization and regulatory implementation.

Workflow for assay development, validation, standardization, and regulatory adoption of environmental DNA (eDNA)-based monitoring approaches. The figure was generated using BioRender software ([https://BioRender.com/ifdgoey](https://BioRender.com/ifdgoey)). Proposed framework for assay development, technical validation, protocol standardization, regulatory acceptance, and routine implementation of freshwater mussel eDNA monitoring. The adaptive feedback loop illustrates continuous improvement of assays, protocols, and monitoring practices.
Figure 6. Workflow for assay development, validation, standardization, and regulatory adoption of environmental DNA (eDNA)-based monitoring approaches. The figure was generated using BioRender software (https://BioRender.com/ifdgoey). Proposed framework for assay development, technical validation, protocol standardization, regulatory acceptance, and routine implementation of freshwater mussel eDNA monitoring. The adaptive feedback loop illustrates continuous improvement of assays, protocols, and monitoring practices.

7.2 Operational implementation framework

Successful implementation of freshwater mussel eDNA monitoring requires a coordinated workflow extending from assay development to regulatory adoption (Figure 6). Initial assay development should include verification of taxonomic specificity using reference databases and laboratory validation of detection limits, repeatability, and analytical sensitivity (Valentini et al., 2016; Sepulveda et al., 2020). Subsequent field validation should directly compare eDNA results with conventional mussel surveys under representative environmental conditions (Wilcox et al., 2015). Pilot studies are essential for optimizing sampling strategies, preservation methods, filtration protocols, and bioinformatic workflows before regional implementation. Standardized laboratory procedures, inter-laboratory comparisons, certified reference materials, and comprehensive training programs will further improve reproducibility and facilitate adoption by resource managers and conservation agencies. Early collaboration among researchers, regulatory agencies, and environmental managers is critical to ensuring that scientific advances are efficiently translated into operational monitoring programs (Taberlet et al., 2018; Rodriguez et al., 2025).

7.3 Freshwater mussel-specific regulatory challenges

Although substantial progress has been achieved, several challenges continue to limit the regulatory implementation of freshwater mussel eDNA monitoring. As demonstrated by the evidence synthesis (Table 3), hydrological transport, seasonal variation, PCR inhibition, incomplete reference databases, and imperfect detection probabilities remain important sources of uncertainty. Moreover, while eDNA is highly effective for confirming species presence, it currently provides limited information on demographic parameters such as age structure, recruitment, population size, and population viability, which remain essential for endangered species assessments and environmental permitting. Consequently, freshwater mussel conservation programs will continue to benefit from integrated monitoring strategies in which eDNA is used to prioritize survey locations and complement.

7.4 Future directions for global implementation

Future implementation should prioritize harmonization of international protocols, expansion of regional reference databases, increased data sharing, user-friendly bioinformatics pipelines, and continued development of quantitative molecular approaches (Djaffardjy et al., 2023; Rodriguez et al., 2025). Unionid mussels remain unevenly distributed globally, with major biodiversity hotspots occurring in North America, East Asia, and parts of Africa (Haag and Williams, 2014; Lopes‐Lima et al., 2017). However, most freshwater mussel eDNA studies have been conducted in North America and Europe, leaving substantial geographical knowledge gaps across tropical and subtropical regions. Expanding freshwater mussel eDNA monitoring into underrepresented regions, together with stronger international collaboration and regulatory harmonization, will improve biodiversity assessment, conservation planning, and long-term monitoring of imperiled unionid populations worldwide.

8 Conclusions and future research directions

eDNA has become a valuable tool for freshwater mussel monitoring and conservation. This review synthesized evidence from 49 peer-reviewed studies, providing a comprehensive assessment of research trends (Table 1), methodological developments (Table 2), and ecological evidence, conservation applications, and remaining limitations (Table 3). Relationships between eDNA concentration and mussel abundance are improving, but current evidence remains insufficient for reliably estimating population size or demographic characteristics across most freshwater mussel systems. Consequently, eDNA is currently most effective when integrated with conventional surveys and ecological information. Continued protocol harmonization and standardized reporting will be essential to improve reproducibility, facilitate cross-study comparisons, and support broader regulatory adoption.

Future research should prioritize standardized field and laboratory protocols, improved quantitative relationships between eDNA concentration and abundance, expanded regional reference databases, enhanced bioinformatic pipelines and multi-marker approaches, broader inter-laboratory validation, and the evaluation of emerging technologies, including machine learning-assisted data analysis, automated water sampling systems, portable sequencing platforms, and long-read sequencing technologies, to improve taxonomic resolution, field deploy ability, and routine regulatory implementation. eDNA complements conventional freshwater mussel monitoring. Continued collaboration among researchers, conservation practitioners, and regulatory agencies will be essential to translate methodological advances into standardized monitoring frameworks that strengthen biodiversity assessment and evidence-based freshwater mussel conservation.

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Supplementary material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fcosc.2026.1891198/full#supplementary-material

Inclusion and exclusion criteria used for study selection during the systematic literature review. Government reports and technical documents were consulted only to provide regulatory and management context and were not included in the systematic qualitative synthesis. Reference lists of eligible studies were manually screened to identify additional relevant peer-reviewed publications. Supplementary material at the source

Footnotes

Edited by: Zuogang Peng, Southwest University, China

Reviewed by: Thadickal V Joydas, National Center for Wildlife, Saudi Arabia

Arnelyn D. Doloiras-Laraño, Ehime University, Japan

Statements

Conflict of interest

The author(s) declared that this work was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

The author MdR declared that they were an editorial board member of Frontiers, at the time of submission. This had no impact on the peer review process and the final decision.

Funding

The author(s) declared that financial support was received for this work and/or its publication. This work was funded partially by the Texas Department of Transportation research grant (grant no. 0-7219) to MdR and RK.

Author contributions

MiR: Visualization, Data curation, Methodology, Validation, Writing – original draft, Software, Writing – review & editing, Formal analysis, Investigation, Resources. MdR: Project administration, Visualization, Funding acquisition, Validation, Data curation, Supervision, Writing – review & editing. RK: Supervision, Validation, Funding acquisition, Writing – review & editing, Visualization, Project administration.

Acknowledgements

The authors thank Dr. Nathaniel T. Marshall, Stantec Consulting Ltd., Topsham, Maine, USA for useful comments and suggestions to improve the manuscript. We also thank two reviewers for their valuable comments and constructive suggestions on the manuscript.

References

  1. Akani G. C., Amuzie C. C., Alawa G. N., Nioking A., Belema R. (2022). “ Factors militating against biodiversity conservation in the Niger Delta, Nigeria: the way out,” in Biodiversity in Africa: Potentials, Threats and Conservation (Springer Nature Singapore, Singapore), 573 – 600.
  2. Ardura A., Zaiko A., Martinez J. L., Samuiloviene A., Borrell Y., Garcia-Vazquez E. (2015). Environmental DNA evidence of transfer of North Sea molluscs across tropical waters through ballast water. J. Molluscan Stud. 81, 495 – 501. doi: doi:10.1093/mollus/eyv022
  3. Boutifard V., Mzali L. (2025). Using environmental DNA to survey bivalves in agricultural freshwater marshes on the Atlantic Coast. Folia Conchyliologica 76, 1 – 6.Available online at: https://hal.science/hal-05289872.
  4. Buckland S. T., Johnston A. (2017). Monitoring the biodiversity of regions: Key principles and possible pitfalls. Biol. Conserv. 214, 23 – 34. doi: doi:10.1016/j.biocon.2017.07.034
  5. Callahan B. J., McMurdie P. J., Holmes S. P. (2017). Exact sequence variants should replace operational taxonomic units in marker-gene data analysis. ISME J. 11, 2639 – 2643. doi: doi:10.1038/ismej.2017.119
  6. Callahan B. J., McMurdie P. J., Rosen M. J., Han A. W., Johnson A. J. A., Holmes S. P. (2016). DADA2: High-resolution sample inference from Illumina amplicon data. Nat. Methods 13, 581 – 583. doi: doi:10.1038/nmeth.3869
  7. Chen Y., Song T., Zhang Y., Zi F., Huang Y., Fang L.. (2025). Analysis of multitrophic biodiversity patterns in the Irtysh river basin based on eDNA metabarcoding. Biology 14, 1661. doi: doi:10.3390/biology14121661
  8. Chiarello M., McCauley M., Villéger S., Jackson C. R. (2022). Ranking the biases: The choice of OTUs vs. ASVs in 16S rRNA amplicon data analysis has stronger effects on diversity measures than rarefaction and OTU identity threshold. PloS One 17, e0264443. doi: doi:10.1371/journal.pone.0264443
  9. Cho A., Morris T., Wilson C., Freeland J. (2016). Development of species-specific primers with potential for amplifying eDNA from imperilled freshwater unionid mussels. Genome 59, 1141 – 1149. doi: doi:10.1139/gen-2015-0196
  10. Clusa L., Miralles L., Basanta A., Escot C., Garcia-Vazquez E. (2017). eDNA for detection of five highly invasive molluscs. A case study in urban rivers from the Iberian Peninsula. PloS One 12, e0188126. doi: doi:10.1371/journal.pone.0188126
  11. Coghlan S. A., Currier C. A., Freeland J., Morris T. J., Wilson C. C. (2021). Community eDNA metabarcoding as a detection tool for documenting freshwater mussel (Unionidae) species assemblages. Environ. DNA 3, 1172 – 1191. doi: doi:10.1002/edn3.239
  12. Currier C. A., Morris T. J., Wilson C. C., Freeland J. R. (2018). Validation of environmental DNA (eDNA) as a detection tool for at‐risk freshwater pearly mussel species (Bivalvia: Unionidae). Aquat. Conservation: Mar. Freshw. Ecosyst. 28, 545 – 558. doi: doi:10.1002/aqc.2869
  13. Deiner K., Bik H. M., Mächler E., Seymour M., Lacoursière‐Roussel A., Altermatt F.. (2017). Environmental DNA metabarcoding: Transforming how we survey animal and plant communities. Mol. Ecol. 26, 5872 – 5895. doi: doi:10.1111/mec.14350
  14. Djaffardjy M., Marchment G., Sebe C., Blanchet R., Belhajjame K., Gaignard A.. (2023). Developing and reusing bioinformatics data analysis pipelines using scientific workflow systems. Comput. Struct. Biotechnol. J. 21, 2075 – 2085. doi: doi:10.1016/j.csbj.2023.03.003
  15. Doi H., Inui R., Akamatsu Y., Kanno K., Yamanaka H., Takahara T.. (2017). Environmental DNA analysis for estimating the abundance and biomass of stream fish. Freshw. Biol. 62, 30 – 39. doi: doi:10.1111/fwb.12846
  16. Doi H., Takahara T., Minamoto T., Matsuhashi S., Uchii K., Yamanaka H. (2015). Droplet digital polymerase chain reaction (PCR) outperforms real-time PCR in the detection of environmental DNA from an invasive fish species. Environ. Sci. Technol. 49, 5601 – 5608. doi: doi:10.1021/acs.est.5b00253
  17. Dokai W. K., Barry P. D., Zanatta D. T., Gruenthal K. M., McPhee M. V., McIntyre P. B.. (2023). Two for the price of one: eDNA metabarcoding reveals temporal and spatial variability of mussel and fish co‐distributions in Michigan riverine systems. Environ. DNA 5, 424 – 437. doi: doi:10.1002/edn3.390
  18. Dolson R. M., McNichols-O’Rourke K. A., Morris T. J. (2023). “ A literature review of freshwater mussel survey methods and techniques used in deep, turbid environments,” in Fisheries and Oceans Canada, Great Lakes Laboratory for Fisheries and Aquatic Sciences (Burlington, Ontario: Fisheries and Oceans Canada, Great Lakes Laboratory for Fisheries and Aquatic Sciences), 3505.
  19. Douglass S. A., Palmer S., McCallum A. R., Reves O. P., Robinson H. A., Rutledge A. J.. (2025). Environmental DNA reveals the salamander mussel Simpsonaias ambigua alive in Illinois, USA, after a century in obscurity. Ecology 106, e70145. doi: doi:10.1002/ecy.70145
  20. Egeter B., Verissimo J., Lopes‐Lima M., Chaves C., Pinto J., Riccardi N.. (2022). Speeding up the detection of invasive bivalve species using environmental DNA: A Nanopore and Illumina sequencing comparison. Mol. Ecol. Resour. 22, 2232 – 2247. doi: doi:10.1111/1755-0998.13610
  21. Ficetola G. F., Miaud C., Pompanon F., Taberlet P. (2008). Species detection using environmental DNA from water samples. Biol. Lett. 4, 423 – 425. doi: doi:10.1098/rsbl.2008.0118
  22. Gasparini L., Crookes S., Prosser R. S., Hanner R. (2020). Detection of freshwater mussels (Unionidae) using environmental DNA in riverine systems. Environ. DNA 2, 321 – 329. doi: doi:10.1002/edn3.71
  23. Gaston A. J., Elliott K. H., Ropert-Coudert Y., Kato A., Macdonald C. A., Mallory M. L.. (2013). Modeling foraging range for breeding colonies of thick-billed murres Uria lomvia in the Eastern Canadian Arctic and potential overlap with industrial development. Biol. Conserv. 168, 134 – 143. doi: doi:10.1016/j.biocon.2013.09.018
  24. Gingera T. D., Bajno R., Docker M. F., Reist J. D. (2017). Environmental DNA as a detection tool for zebra mussels Dreissena polymorpha (Pallas 1771) at the forefront of an invasion event in Lake Winnipeg, Manitoba, Canada. Manage. Biol. Invasions 8, 287 – 300. doi: doi:10.3391/mbi.2017.8.3.03
  25. Goldberg C. S., Turner C. R., Deiner K., Klymus K. E., Thomsen P. F., Murphy M. A.. (2016). Critical considerations for the application of environmental DNA methods to detect aquatic species. Methods Ecol. Evol. 7, 1299 – 1307. doi: doi:10.1111/2041-210x.12595
  26. Guri G., Ray J. L., Shelton A. O., Kelly R. P., Præbel K., Andruszkiewicz Allan E.. (2024). Quantifying the detection sensitivity and precision of qPCR and ddPCR mechanisms for eDNA samples. Ecol. Evol. 14, e70678. doi: doi:10.1002/ece3.70678
  27. Haag W. R. (2012). North American Freshwater Mussels: Natural History, Ecology, and Conservation (New York, NY: Cambridge University Press).
  28. Haag W. R., Williams J. D. (2014). Biodiversity on the brink: an assessment of conservation strategies for North American freshwater mussels. Hydrobiologia 735, 45 – 60. doi: doi:10.1007/s10750-013-1524-7
  29. Hallyburton S., Stark W. (2023). Increasing detection sensitivity for rare and endangered species in Kansas through development of an aquatic environmental DNA sampling protocol. Trans. Kansas Acad. Sci. 126, 102 – 114. doi: doi:10.58809/irwk3020
  30. Harper L. R., Handley L. L., Carpenter A. I., Ghazali M., Di Muri C., Macgregor C. J.. (2019). Environmental DNA (eDNA) metabarcoding of pond water as a tool to survey conservation and management priority mammals. Biol. Conserv. 238, 108225. doi: doi:10.1016/j.biocon.2019.108225
  31. Hart M., Randklev C., Dickson J., Ford N., Hernandez B., Schwalb A. (2016). A literature review of freshwater mussel survey and relocation guidelines (TxDOT Project 0-6865).
  32. Harvey B. P., Kon K., Agostini S. (2020). “ Survey techniques in marine ecology,” in Japanese Marine Life: A Practical Training Guide in Marine Biology (Springer Singapore, Singapore), 263 – 271.
  33. Hata H., Ogasawara K., Yamashita N. (2022). Population decline of an endangered unionid, Pronodularia Japanensis, in streams is revealed by eDNA and conventional monitoring approaches. Hydrobiologia 849, 2635 – 2646. doi: doi:10.1007/s10750-022-04852-6
  34. Hauck L. L., Atkinson C. L., Homyack J. A., Penaluna B. E., Mangum C., Coble A. A.. (2023). Molecular identity crisis: environmental DNA metabarcoding meets traditional taxonomy—assessing biodiversity and freshwater mussel populations (Unionidae) in Alabama. PeerJ 11, e15127. doi: doi:10.7717/peerj.15127
  35. Hering D., Borja A., Jones J. I., Pont D., Boets P., Bouchez A.. (2018). Implementation options for DNA-based identification into ecological status assessment under the European Water Framework Directive. Water Res. 138, 192 – 205. doi: doi:10.1016/j.watres.2018.03.003
  36. Jerde C. L., Mahon A. R., Chadderton W. L., Lodge D. M. (2011). Sight‐unseen” detection of rare aquatic species using environmental DNA. Conserv. Lett. 4, 150 – 157. doi: doi:10.1111/j.1755-263X.2010.00158.x
  37. Joos L., Beirinckx S., Haegeman A., Debode J., Vandecasteele B., Baeyen S.. (2020). Daring to be differential: metabarcoding analysis of soil and plant-related microbial communities using amplicon sequence variants and operational taxonomical units. BMC Genomics 21, 733. doi: doi:10.1186/s12864-020-07126-4
  38. Karatayev A. Y., Burlakova L. E. (2025). What we know and don’t know about the invasive zebra (Dreissena polymorpha) and quagga (Dreissena rostriformis bugensis) mussels. Hydrobiologia 852, 1029 – 1102. doi: doi:10.1007/s10750-022-04950-5
  39. Kersting D. K., García-March J. R. (2017). Long-term assessment of recruitment, early stages and population dynamics of the endangered Mediterranean fan mussel Pinna nobilis in the Columbretes Islands (NW Mediterranean). Mar. Environ. Res. 130, 282 – 292. doi: doi:10.1016/j.marenvres.2017.08.007
  40. Kim K., Kwon J., Kim K. J., Oh H. J., Choi Y., Chang K. H.. (2025). Application of the QuickConc TM concentration system for environmental DNA analysis in lakes: Case study on genetic diversity of freshwater bivalves. Korean J. Ecol. Environ. 58, 298 – 307. doi: doi:10.11614/ksl.2025.58.3.298
  41. Klymus K. E., Merkes C. M., Allison M. J., Goldberg C. S., Helbing C. C., Hunter M. E.. (2020 a). Reporting the limits of detection and quantification for environmental DNA assays. Environ. DNA 2, 271 – 282. doi: doi:10.1002/edn3.29
  42. Klymus K. E., Ramos D. V. R., Thompson N. L., Richter C. A. (2020 b). Development and testing of species-specific quantitative PCR assays for environmental DNA applications. JoVE (Journal Visualized Experiments) 165, e61825. doi: doi:10.3791/61825
  43. Klymus K. E., Richter C. A., Chapman D. C., Paukert C. (2015). Quantification of eDNA shedding rates from invasive bighead carp Hypophthalmichthys nobilis and silver carp Hypophthalmichthys molitrix. Biol. Conserv. 183, 77 – 84. doi: doi:10.1016/j.biocon.2014.11.020
  44. Klymus K. E., Richter C. A., Thompson N., Hinck J. E., Jones J. W. (2021). Metabarcoding assays for the detection of freshwater mussels (Unionida) with environmental DNA. Environ. DNA 3, 231 – 247. doi: doi:10.1002/edn3.166
  45. Kurth J., Loftin C., Zydlewski J., Rhymer J. (2007). PIT tags increase effectiveness of freshwater mussel recaptures. J. North. Am. Benthological Soc. 26, 253 – 260. doi: doi:10.1899/0887-3593(2007)26[253:ptieof]2.0.co;2
  46. Lei Yao, Zhou Chunhua, Ouyang Shan, Wu Xiaoping (2023). Differences in the monitoring of environmental DNA in mussels by different environmental sample types. J. Hydrobiology/Shuisheng Shengwu Xuebao 47, 412 – 423. doi: doi:10.7541/2023.2022.0266
  47. Livore J. P., Mendez M. M., Miloslavich P., Rilov G., Bigatti G. (2021). Biodiversity monitoring in rocky shores: Challenges of devising a globally applicable and cost-effective protocol. Ocean Coast. Manage. 205, 105548. doi: doi:10.1016/j.ocecoaman.2021.105548
  48. Lopes‐Lima M., Sousa R., Geist J., Aldridge D. C., Araujo R., Bergengren J.. (2017). Conservation status of freshwater mussels in Europe: state of the art and future challenges. Biol. Rev. 92, 572 – 607. doi: doi:10.1111/brv.12244
  49. Lor Y., Schreier T. M., Waller D. L., Merkes C. M. (2020). Using environmental DNA (eDNA) to detect the endangered spectaclecase mussel (Margaritifera monodonta). Freshw. Sci. 39, 837 – 847. doi: doi:10.1086/711673
  50. Marshall N. T., Klymus K. E., Stepien C. A. (2024). Species richness and distribution of sphaeriidae surveyed with environmental DNA metabarcoding. Freshw. Mollusk Biol. Conserv. 27, 16 – 26. doi: doi:10.31931/fmbc-d-23-00003
  51. Marshall N. T., Symonds D. E., Dean C. A., Schumer G., Fleece W. C. (2022). Evaluating environmental DNA metabarcoding as a survey tool for unionid mussel assessments. Freshw. Biol. 67, 1483 – 1507. doi: doi:10.1111/fwb.13955
  52. Marshall N. T., Symonds D. E., Fleece W. C. (2025). Environmental DNA detection of the male mitochondrial genome of freshwater mussels (Unionidae). Genome 68, 1 – 17. doi: doi:10.1139/gen-2024-0031
  53. Mason D. H., Henderson H. A., Franklin T. W., Young M. K., Hernandez J. E., Engkjer C. L.. (2025). Environmental DNA detects endangered Texas hornshell and its hosts. Ecol. Evol. 15, e71397. doi: doi:10.1002/ece3.71397
  54. McColl-Gausden E. F., Weeks A. R., Coleman R., Song S., Tingley R. (2023). Using hierarchical models to compare the sensitivity of metabarcoding and qPCR for eDNA detection. Ecol. Inf. 75, 102072. doi: doi:10.1016/j.ecoinf.2023.102072
  55. McKee A. M., Klymus K. E., Lor Y., Kaminski M., Tajjioui T., Johnson N. A.. (2023). Dead‐end hollow fiber ultrafiltration capture of environmental DNA for freshwater mussel (Unionidae) species detection with metabarcoding. Environ. DNA 5, 1148 – 1162. doi: doi:10.1002/edn3.464
  56. McKee A. M., Spear S. F., Pierson T. W. (2015). The effect of dilution and the use of a post-extraction nucleic acid purification column on the accuracy, precision, and inhibition of environmental DNA samples. Biol. Conserv. 183, 70 – 76. doi: doi:10.1016/j.biocon.2014.11.031
  57. Meador J. R., Peterson J. T., Wisniewski J. M. (2011). An evaluation of the factors influencing freshwater mussel capture probability, survival, and temporary emigration in a large lowland river. J. North. Am. Benthological Soc. 30, 507 – 521. doi: doi:10.1899/10-105.1
  58. Miya M., Sato Y., Fukunaga T., Sado T., Poulsen J. Y., Sato K.. (2015). MiFish, a set of universal PCR primers for metabarcoding environmental DNA from fishes: detection of more than 230 subtropical marine species. R. Soc Open Sci. 2, 150088. doi: doi:10.1098/rsos.150088
  59. Nilsen T., Snipen L. G., Angell I. L., Keeley N. B., Majaneva S., Pettersen R.. (2024). Swarm and UNOISE outperform DADA2 and deblur for denoising high-diversity marine seafloor samples. ISME Commun. 4, ycae071. doi: doi:10.1093/ismeco/ycae071
  60. Nogueira J. G., Lyet A., Hermoso V., Beja P., Lopes‐Lima M., Prié V. (2025). Assessing the value of environmental DNA into conservation planning: A case study of freshwater bivalves in France. J. Environ. Manage. 380, 124852. doi: doi:10.1016/j.jenvman.2025.124852
  61. Peters K., Sink K. J., Robinson T. B. (2019). Sampling methods and approaches to inform standardized detection of marine alien fouling species on recreational vessels. J. Environ. Manage. 230, 159 – 167. doi: doi:10.1016/j.jenvman.2018.09.063
  62. Pont D., Rocle M., Valentini A., Civade R., Jean P., Maire A.. (2018). Environmental DNA reveals quantitative patterns of fish biodiversity in large rivers despite its downstream transportation. Sci. Rep. 8, 10361. doi: doi:10.1038/s41598-018-28424-8
  63. Porto-Hannes I., Sassoubre L. M., Sansom B. J., Morris T. J. (2023). Applying environmental DNA methods to inform detection of Simpsonaias ambigua under varying water velocities in a river. Freshw. Mollusk Biol. Conserv. 26, 54 – 68. doi: doi:10.31931/fmbc-d-21-00013
  64. Preece E. P., Bryan M., Mapes S. M., Wademan C., Dorazio R. (2021). Monitoring for freshwater mussel presence in rivers using environmental DNA. Environ. DNA 3, 591 – 604. doi: doi:10.1002/edn3.156
  65. Prié V., Danet A., Valentini A., Lopes‐Lima M., Taberlet P., Besnard A.. (2023). Conservation assessment based on large-scale monitoring of eDNA: Application to freshwater mussels. Biol. Conserv. 283, 110089. doi: doi:10.1016/j.biocon.2023.110089
  66. Prié V., Valentini A., Lopes‐Lima M., Froufe E., Rocle M., Poulet N.. (2021). Environmental DNA metabarcoding for freshwater bivalves biodiversity assessment: methods and results for the Western Palearctic (European sub-region). Hydrobiologia 848, 2931 – 2950. doi: doi:10.1007/s10750-020-04260-8
  67. Rees H. C., Maddison B. C., Middleditch D. J., Patmore J. R., Gough K. C. (2014). The detection of aquatic animal species using environmental DNA–a review of eDNA as a survey tool in ecology. J. Appl. Ecol. 51, 1450 – 1459. doi: doi:10.1111/1365-2664.12306
  68. Reid S. M. (2016). Search effort and imperfect detection: Influence on timed-search mussel (Bivalvia: Unionidae) surveys in Canadian rivers. Knowl. Manage. Aquat Syst. 417, 17. doi: doi:10.1051/kmae/2016004
  69. Renshaw M. A., Olds B. P., Jerde C. L., McVeigh M. M., Lodge D. M. (2015). The room temperature preservation of filtered environmental DNA samples and assimilation into a phenol–chloroform–isoamyl alcohol DNA extraction. Mol. Ecol. Resour. 15, 168 – 176. doi: doi:10.1111/1755-0998.12281
  70. Robinson C. V., Porter T. M., Wright M. T., Hajibabaei M. (2021). Propylene glycol-based antifreeze is an effective preservative for DNA metabarcoding of benthic arthropods. Freshw. Sci. 40, 77 – 87. doi: doi:10.1086/712232
  71. Rodgers T. W., Dysthe J. C., Tait C., Franklin T. W., Schwartz M. K., Mock K. E. (2020). Detection of 4 imperiled western North American freshwater mussel species from environmental DNA with multiplex qPCR assays. Freshw. Sci. 39, 762 – 772. doi: doi:10.1086/710570
  72. Rodgers T. W., Tronstad L. M., Gonzalez B. R., Crawford M., Mock K. E. (2022). Distribution of the native freshwater mussels Anodonta nuttalliana and Margaritifera falcata in Utah and western Wyoming using environmental DNA. West N. Am. Nat. 82, 439 – 450. doi: doi:10.3398/064.082.0302
  73. Rodriguez L. K., De Bonis L., McKee J., McKenna J. A., Urvois T., Barbaccia E.. (2025). Inter-laboratory ring test for environmental DNA extraction protocols: implications for marine megafauna detection using three novel qPCR assays. Metabarcoding Metagenomics 9, e128235. doi: doi:10.3897/mbmg.9.128235
  74. Ruiz‐Ramos D. V., Thompson N. L., Richter C. A., Voshage M. C., Schreier T. M., Merkes C. M.. (2024). Environmental DNA dynamics of three species of unionid freshwater mussels. Environ. DNA 6, e543. doi: doi:10.1002/edn3.543
  75. Ruppert K. M., Kline R. J., Rahman M. S. (2019). Past, present, and future perspectives of environmental DNA (eDNA) metabarcoding: A systematic review in methods, monitoring, and applications of global eDNA. Global Ecol. Conserv. 17, e00547. doi: doi:10.1016/j.gecco.2019.e00547
  76. Sansom B. J., Ruiz‐Ramos D. V., Thompson N. L., Roberts M. O., Taylor Z. A., Ortiz K.. (2024). Detection and transport of environmental DNA from two federally endangered mussels. PloS One 19, e0304323. doi: doi:10.1371/journal.pone.0304323
  77. Sansom B. J., Sassoubre L. M. (2017). Environmental DNA (eDNA) shedding and decay rates to model freshwater mussel eDNA transport in a river. Environ. Sci. Technol. 51, 14244 – 14253. doi: doi:10.1021/acs.est.7b05199
  78. Schill W. B., Galbraith H. S. (2019). Detecting the undetectable: Characterization, optimization, and validation of an eDNA detection assay for the federally endangered dwarf wedgemussel, Alasmidonta heterodon (Bivalvia: Unionoida). Aquat. Conserv. 29, 603 – 611. doi: doi:10.1002/aqc.3069
  79. Schmidt B. C., Spear S. F., Tomi A., Bodinof Jachowski C. M. (2021). Evaluating the efficacy of environmental DNA (eDNA) to detect an endangered freshwater mussel Lasmigona decorata (Bivalvia: Unionidae). Freshw. Sci. 40, 354 – 367. doi: doi:10.1086/714411
  80. Schrader C., Schielke A., Ellerbroek L., Johne R. P. C. R. (2012). PCR inhibitors–occurrence, properties and removal. J. Appl. Microbiol. 113, 1014 – 1026. doi: doi:10.1111/j.1365-2672.2012.05384.x
  81. Sepulveda A. J., Hutchins P. R., Forstchen M., Mckeefry M. N., Swigris A. M. (2020). The elephant in the lab (and field): Contamination in aquatic environmental DNA studies. Front. Ecol. Evol. 8, 609973. doi: doi:10.3389/fevo.2020.609973
  82. Simmons B., Roberts A., Hundley J. (2021). “ Protocol for long-term monitoring of freshwater mussel populations in the lower Osage river, Missouri,” in US Fish and Wildlife Service, Ecological Services. (Columbia, Missouri: U.S. Fish and Wildlife Service, Ecological Services, Missouri Field Office).
  83. Smart A. S., Tingley R., Weeks A. R., Van Rooyen A. R., McCarthy M. A. (2015). Environmental DNA sampling is more sensitive than a traditional survey technique for detecting an aquatic invader. Ecol. Appl. 25, 1944 – 1952. doi: doi:10.1890/14-1751.1
  84. Spens J., Evans A. R., Halfmaerten D., Knudsen S. W., Sengupta M. E., Mak S. S.. (2017). Comparison of capture and storage methods for aqueous macrobial eDNA using an optimized extraction protocol: advantage of enclosed filter. Methods Ecol. Evol. 8 (5), 635 – 645. doi: doi:10.1111/2041-210X.12683
  85. Steiner K., Drinan T., Zaiko A., Burton T., Clearwater S. J., Stocker M. G.. (2023). Heterogenous distribution of kākahi (freshwater mussel Echyridella menziesii) environmental DNA in 5 New Zealand lakes of differing size and geomorphology. Freshw. Sci. 42, 1 – 12. doi: doi:10.1086/722968
  86. Stoeckle B. C., Beggel S., Kuehn R., Geist J. (2021). Influence of stream characteristics and population size on downstream transport of freshwater mollusk environmental DNA. Freshw. Sci. 40, 191 – 201. doi: doi:10.1086/713015
  87. Stoeckle B. C., Kuehn R., Geist J. (2016). Environmental DNA as a monitoring tool for the endangered freshwater pearl mussel (Margaritifera margaritifera L.): a substitute for classical monitoring approaches ? Aquat. Conservation: Mar. Freshw. Ecosyst. 26, 1120 – 1129. doi: doi:10.1002/aqc.2611
  88. Stoeckle M. Y., Soboleva L., Charlop-Powers Z. (2017). Aquatic environmental DNA detects seasonal fish abundance and habitat preference in an urban estuary. PloS One 12, e0175186. doi: doi:10.1371/journal.pone.0175186
  89. Sugawara K., Sasaki Y., Okano K., Watanabe M., Miyata N. (2022). Application of eDNA for monitoring freshwater bivalve Nodularia nipponensis and its glochidium larvae. Environ. DNA 4, 908 – 919. doi: doi:10.1002/edn3.304
  90. Sundberg P., Axberg A., Daragmeh N., Wengström N., Panova M. (2024). Monitoring of endangered freshwater mussels in Sweden using digital PCR. Environ. DNA 6, e70046. doi: doi:10.1163/9789004478909_017
  91. Taberlet P., Bonin A., Zinger L., Coissac E. (2018). Environmental Dna: For Biodiversity Research and Monitoring (Oxford, UK: Oxford University Press).
  92. Thomsen P. F., Willerslev E. (2015). Environmental DNA–An emerging tool in conservation for monitoring past and present biodiversity. Biol. Conserv. 183, 4 – 18. doi: doi:10.1016/j.biocon.2014.11.019
  93. Thomson-Laing J., Steiner K., Thomson-Laing G., Thoms C., Howarth J. D., Vandergoes M. J.. (2025). Exploring the historical presence of kākahi (freshwater mussel) in lakes using sedimentary ancient DNA. Inland Waters 15, 2475685. doi: doi:10.1080/20442041.2025.2475685
  94. Togaki D., Doi H., Katano I. (2020). Detection of freshwater mussels (Sinanodonta spp.) in artificial ponds through environmental DNA: a comparison with traditional hand collection methods. Limnology 21, 59 – 65. doi: doi:10.1007/s10201-019-00584-0
  95. U.S. Department of the Interior (2023). Natural Resource Damage Assessment and Restoration Best Practices: Freshwater Mussels (Washington, DC: Office of Restoration and Damage Assessment).
  96. U.S. Fish and Wildlife Service (2022). Best Management Practices for Environmental DNA Sampling (Version 1.0) (Falls Church, Virginia: U.S. Fish and Wildlife Service).
  97. U.S. Geological Survey (2015). Genetics Provide New Hope for Endangered Freshwater Mussels. Available online at: https://www.usgs.gov/news/national-news-release/genetics-provide-new-hope-endangered-freshwater-mussels (Accessed June 24, 2026).
  98. Valentini A., Taberlet P., Miaud C., Civade R., Herder J., Thomsen P. F.. (2016). Next‐generation monitoring of aquatic biodiversity using environmental DNA metabarcoding. Mol. Ecol. 25, 929 – 942. doi: doi:10.1111/mec.13428
  99. Vaughn C. C. (2018). Ecosystem services provided by freshwater mussels. Hydrobiologia 810, 15 – 27. doi: doi:10.1007/s10750-017-3139-x
  100. Wacker S., Fossøy F., Larsen B. M., Brandsegg H., Sivertsgård R., Karlsson S. (2019). Downstream transport and seasonal variation in freshwater pearl mussel (Margaritifera margaritifera) eDNA concentration. Environ. DNA 1, 64 – 73. doi: doi:10.1002/edn3.10
  101. Waits E. R., Smith L. M., Patnode K. A., Clayton J. L., McGregor M. A., Bergdale A. J. (2025). Development and validation of environmental DNA assays for the detection of endangered and threatened freshwater mussels. Conserv. Genet. Resour. 17, 237 – 244. doi: doi:10.1007/s12686-025-01398-2
  102. Wilcox T. M., Carim K. J., McKelvey K. S., Young M. K., Schwartz M. K. (2015). The dual challenges of generality and specificity when developing environmental DNA markers for species and subspecies of Oncorhynchus. PloS One 10, e0142008. doi: doi:10.1371/journal.pone.0142008
  103. Wood S. A., Biessy L., Latchford J. L., Zaiko A., von Ammon U., Audrezet F.. (2020). Release and degradation of environmental DNA and RNA in a marine system. Sci. Total Environ. 704, 135314. doi: doi:10.1016/j.scitotenv.2019.135314
  104. Wood S. A., Pochon X., Laroche O., von Ammon U., Adamson J., Zaiko A. (2019). A comparison of droplet digital polymerase chain reaction (PCR), quantitative PCR and metabarcoding for species-specific detection in environmental DNA. Mol. Ecol. Resour. 19, 1407 – 1419. doi: doi:10.1111/1755-0998.13055
  105. Wu J., Negishi J. N., Izumi H., Kanbe T., Mizumoto H., Araki H. (2024). Application of eDNA methods to evaluate abundance and reproduction of winter-breeding freshwater mussels (Buldowskia iwakawai) in the Ishikari River floodplain. Hydrobiologia 851, 541 – 558. doi: doi:10.1007/s10750-023-05343-y
  106. Xia Z., Zhan A., Gao Y., Zhang L., Haffner G. D., MacIsaac H. J. (2018). Early detection of a highly invasive bivalve based on environmental DNA (eDNA). Biol. Invasions 20, 437 – 447. doi: doi:10.1007/s10530-017-1545-7
  107. Yip Z. T., Lim C. S., Tay Y. C., Tan Y. H. J., Beng S., Tun K.. (2021). Environmental DNA detection of the invasive mussel Mytella strigata as a surveillance tool. Manage. Biol. Invasions 12, 578. doi: doi:10.3391/mbi.2021.12.3.05
  108. Zhan Z., Huo W., Xie S., Chen W., Liu X., Xu K.. (2025). Comparison of environmental DNA metabarcoding and underwater visual census for assessing macrobenthic diversity. Biology 14, 821. doi: doi:10.3390/biology14070821
  109. Zieritz A., Richmond T., Melzer F., Rahim K. A. A., Wilson J. J., Kassim H. F. B.. (2025). A time‐and cost‐effective eDNA protocol to survey freshwater mussels (Bivalvia: Unionida) in tropical rivers. Environ. DNA 7, e70099. doi: doi:10.1002/edn3.70099

Citation

Rahman, M., et al. (2026). Environmental DNA for endangered freshwater mussel monitoring: a review on global synthesis of eDNA methods, challenges, and innovative strategies. Frontiers in Conservation Science, Volume 7. https://doi.org/
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7 - 2026

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Copyright © 2026 Rahman, Rahman and Kline.

License: https://creativecommons.org/licenses/by/4.0/

*Correspondence: Mizanur Rahman; Richard J. Kline

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