Please use this identifier to cite or link to this item: https://doi.org/10.1038/s41598-018-27048-2
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dc.titleEffects of sampling effort on biodiversity patterns estimated from environmental DNA metabarcoding surveys
dc.contributor.authorGrey, E.K
dc.contributor.authorBernatchez, L
dc.contributor.authorCassey, P
dc.contributor.authorDeiner, K
dc.contributor.authorDeveney, M
dc.contributor.authorHowland, K.L
dc.contributor.authorLacoursière-Roussel, A
dc.contributor.authorLeong, S.C.Y
dc.contributor.authorLi, Y
dc.contributor.authorOlds, B
dc.contributor.authorPfrender, M.E
dc.contributor.authorProwse, T.A.A
dc.contributor.authorRenshaw, M.A
dc.contributor.authorLodge, D.M
dc.date.accessioned2020-10-20T09:47:23Z
dc.date.available2020-10-20T09:47:23Z
dc.date.issued2018
dc.identifier.citationGrey, E.K, Bernatchez, L, Cassey, P, Deiner, K, Deveney, M, Howland, K.L, Lacoursière-Roussel, A, Leong, S.C.Y, Li, Y, Olds, B, Pfrender, M.E, Prowse, T.A.A, Renshaw, M.A, Lodge, D.M (2018). Effects of sampling effort on biodiversity patterns estimated from environmental DNA metabarcoding surveys. Scientific Reports 8 (1) : 8843. ScholarBank@NUS Repository. https://doi.org/10.1038/s41598-018-27048-2
dc.identifier.issn2045-2322
dc.identifier.urihttps://scholarbank.nus.edu.sg/handle/10635/178407
dc.description.abstractEnvironmental DNA (eDNA) metabarcoding can greatly enhance our understanding of global biodiversity and our ability to detect rare or cryptic species. However, sampling effort must be considered when interpreting results from these surveys. We explored how sampling effort influenced biodiversity patterns and nonindigenous species (NIS) detection in an eDNA metabarcoding survey of four commercial ports. Overall, we captured sequences from 18 metazoan phyla with minimal differences in taxonomic coverage between 18 S and COI primer sets. While community dissimilarity patterns were consistent across primers and sampling effort, richness patterns were not, suggesting that richness estimates are extremely sensitive to primer choice and sampling effort. The survey detected 64 potential NIS, with COI identifying more known NIS from port checklists but 18 S identifying more operational taxonomic units shared between three or more ports that represent un-recorded potential NIS. Overall, we conclude that eDNA metabarcoding surveys can reveal global similarity patterns among ports across a broad array of taxa and can also detect potential NIS in these key habitats. However, richness estimates and species assignments require caution. Based on results of this study, we make several recommendations for port eDNA sampling design and suggest several areas for future research. © 2018 The Author(s).
dc.publisherNature Publishing Group
dc.rightsAttribution 4.0 International
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.sourceUnpaywall 20201031
dc.subjectarticle
dc.subjectbiodiversity
dc.subjectchecklist
dc.subjecthabitat
dc.subjecthuman
dc.subjectintroduced species
dc.subjectnonhuman
dc.subjectsampling
dc.subjectanimal
dc.subjectDNA barcoding
dc.subjectenvironment
dc.subjectgenetics
dc.subjectisolation and purification
dc.subjectmetagenomics
dc.subjectprocedures
dc.subjectcytochrome c oxidase
dc.subjectDNA
dc.subjectRNA 18S
dc.subjectAnimals
dc.subjectBiodiversity
dc.subjectDNA
dc.subjectDNA Barcoding, Taxonomic
dc.subjectElectron Transport Complex IV
dc.subjectEnvironment
dc.subjectMetagenomics
dc.subjectRNA, Ribosomal, 18S
dc.typeArticle
dc.contributor.departmentTROPICAL MARINE SCIENCE INSTITUTE
dc.description.doi10.1038/s41598-018-27048-2
dc.description.sourcetitleScientific Reports
dc.description.volume8
dc.description.issue1
dc.description.page8843
dc.published.statepublished
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