دورية أكاديمية
أعرض في EDS

Validating metabarcoding-based biodiversity assessments with multi-species occupancy models: A case study using coastal marine eDNA.

التفاصيل البيبلوغرافية
العنوان: Validating metabarcoding-based biodiversity assessments with multi-species occupancy models: A case study using coastal marine eDNA.
المؤلفون: McClenaghan B; Centre for Environmental Genomics Applications, eDNAtec Inc., St. John's, NL, Canada., Compson ZG; Centre for Environmental Genomics Applications, eDNAtec Inc., St. John's, NL, Canada., Hajibabaei M; Centre for Environmental Genomics Applications, eDNAtec Inc., St. John's, NL, Canada.; Department of Integrative Biology, University of Guelph, Guelph, ON, Canada.; Centre for Biodiversity Genomics, University of Guelph, Guelph, ON, Canada.
المصدر: PloS one [PLoS One] 2020 Mar 19; Vol. 15 (3), pp. e0224119. Date of Electronic Publication: 2020 Mar 19 (Print Publication: 2020).
نوع المنشور: Journal Article; Research Support, Non-U.S. Gov't
اللغة: English
بيانات الدورية: Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE
أسماء مطبوعة: Original Publication: San Francisco, CA : Public Library of Science
مواضيع طبية MeSH: Biodiversity* , DNA Barcoding, Taxonomic*, Aquatic Organisms/*genetics , DNA, Environmental/*genetics
مستخلص: Environmental DNA (eDNA) metabarcoding is an increasingly popular method for rapid biodiversity assessment. As with any ecological survey, false negatives can arise during sampling and, if unaccounted for, lead to biased results and potentially misdiagnosed environmental assessments. We developed a multi-scale, multi-species occupancy model for the analysis of community biodiversity data resulting from eDNA metabarcoding; this model accounts for imperfect detection and additional sources of environmental and experimental variation. We present methods for model assessment and model comparison and demonstrate how these tools improve the inferential power of eDNA metabarcoding data using a case study in a coastal, marine environment. Using occupancy models to account for factors often overlooked in the analysis of eDNA metabarcoding data will dramatically improve ecological inference, sampling design, and methodologies, empowering practitioners with an approach to wield the high-resolution biodiversity data of next-generation sequencing platforms.
Competing Interests: B.M. and Z.G.C. are employees of eDNAtec Inc. and M.H. is the founder and Chief Scientific Officer of eDNAtec Inc. This does not alter our adherence to PLOS ONE policies on sharing data and materials.
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المشرفين على المادة: 0 (DNA, Environmental)
تواريخ الأحداث: Date Created: 20200320 Date Completed: 20200514 Latest Revision: 20211204
رمز التحديث: 20221213
مُعرف محوري في PubMed: PMC7082047
DOI: 10.1371/journal.pone.0224119
PMID: 32191699
قاعدة البيانات: MEDLINE
الوصف
تدمد:1932-6203
DOI:10.1371/journal.pone.0224119