2021
DOI: 10.1002/edn3.239
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Community eDNA metabarcoding as a detection tool for documenting freshwater mussel (Unionidae) species assemblages

Abstract: Documenting species occurrences and habitat occupancy of unionid mussels can often be challenging. Environmental DNA (eDNA) has been shown to be a reliable tool for detecting unionids with comparable or greater sensitivity than conventional sampling and has the added advantages of not disturbing individuals or occupied habitats.However, single-species eDNA assays are limited to targeting individual species of interest and are functionally blind to the presence of other species. Community eDNA assays have the p… Show more

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Cited by 10 publications
(12 citation statements)
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“…Read counts following amplification and sequencing invariably fail to match – or often, even approximate – the mock-community DNA starting proportions. For example, relative read counts deviate strongly from the mock communities created for freshwater mussels (Coghlan et al 2021), freshwater invertebrates (Fernández et al 2018), arthropods (Piñol et al 2015, Krehenwinkel et al 2017), freshwater fish (Hänfling et al 2016, Rivera et al 2021), marine vertebrates (Port et al 2016, Andruszkiewicz et al 2017), fungi (Adams et al 2013, De Filippis et al 2017, Palmer et al 2018), diet studies from a range of organisms (Ford et al 2016, Thomas et al 2016, Ando et al 2020, Tournayre et al 2020), and microbiome studies (McLaren et al 2019, Silverman et al 2021). Beyond their obvious taxonomic diversity, these analyses span a wide range of methodological implementations (i.e.…”
Section: Introductionmentioning
confidence: 99%
“…Read counts following amplification and sequencing invariably fail to match – or often, even approximate – the mock-community DNA starting proportions. For example, relative read counts deviate strongly from the mock communities created for freshwater mussels (Coghlan et al 2021), freshwater invertebrates (Fernández et al 2018), arthropods (Piñol et al 2015, Krehenwinkel et al 2017), freshwater fish (Hänfling et al 2016, Rivera et al 2021), marine vertebrates (Port et al 2016, Andruszkiewicz et al 2017), fungi (Adams et al 2013, De Filippis et al 2017, Palmer et al 2018), diet studies from a range of organisms (Ford et al 2016, Thomas et al 2016, Ando et al 2020, Tournayre et al 2020), and microbiome studies (McLaren et al 2019, Silverman et al 2021). Beyond their obvious taxonomic diversity, these analyses span a wide range of methodological implementations (i.e.…”
Section: Introductionmentioning
confidence: 99%
“…The high‐level of species agreement is similar to Prié et al (2020) who designed the current assay for use on western Palearctic communities, and found eDNA detected all, and often more species than field surveys throughout France. Additionally, a second assay, likewise targeting the 16S gene region, recovered >80% of species that were found in conventional surveys from waterbodies across southern Ontario (Coghlan et al, 2021). In the present study, species accumulation curves suggest eDNA sampling provided better representation of species richness with fewer total sites required.…”
Section: Discussionmentioning
confidence: 99%
“…Additionally, if multiple MOTUs assigned to the same taxonomy, they were inspected and removed or collapsed into a single MOTU to obtain a final matrix of read counts per taxa. Some eDNA metabarcoding studies have incorporated a read cut-off threshold in an attempt to remove potential sequencing error resulting from tag-jumping or index-hopping (Snyder et al, 2020;Klymus et al, 2021), while others have analysed the complete dataset by including rare MOTUs (Marshall and Stepien, 2020;Coghlan et al, 2021). We evaluated the increase in eDNA false negative detections when the dataset was analysed with three bioinformatic filters compared to the full unfiltered dataset.…”
Section: Bioinformatic Processing and Taxonomy Assignmentmentioning
confidence: 99%
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