Evaluation of detection probabilities at the water-filtering and initial PCR steps in environmental DNA metabarcoding using a multispecies site occupancy model.


Journal

Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288

Informations de publication

Date de publication:
05 03 2019
Historique:
received: 12 12 2017
accepted: 12 02 2019
entrez: 7 3 2019
pubmed: 7 3 2019
medline: 2 10 2020
Statut: epublish

Résumé

Environmental DNA (eDNA) metabarcoding is a recently developed method to assess biodiversity based on a high-throughput parallel DNA sequencing applied to DNA present in the ecosystem. Although eDNA metabarcoding enables a rapid assessment of biodiversity, it is prone to species detection errors that may occur at sequential steps in field sampling, laboratory experiments, and bioinformatics. In this study, we illustrate how the error rates in the eDNA metabarcoding-based species detection can be accounted for by applying the multispecies occupancy modelling framework. We report a case study with the eDNA sample from an aquarium tank in which the detection probabilities of species in the two major steps of eDNA metabarcoding, filtration and PCR, across a range of PCR annealing temperatures, were examined. We also show that the results can be used to examine the efficiency of species detection under a given experimental design and setting, in terms of the efficiency of species detection, highlighting the usefulness of the multispecies site occupancy modelling framework to study the optimum conditions for molecular experiments.

Identifiants

pubmed: 30837589
doi: 10.1038/s41598-019-40233-1
pii: 10.1038/s41598-019-40233-1
pmc: PMC6401178
doi:

Substances chimiques

Water 059QF0KO0R
DNA 9007-49-2

Types de publication

Evaluation Study Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

3581

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Auteurs

Hideyuki Doi (H)

Graduate School of Simulation Studies, University of Hyogo, Minatojima-minamimachi, Kobe, 650-0047, Japan.

Keiichi Fukaya (K)

National Institute for Environmental Studies, Tsukuba, Ibaraki, 305-8506, Japan.
The Institute of Statistical Mathematics, Midoricho, Tachikawa, Tokyo, 190-8562, Japan.

Shin-Ichiro Oka (SI)

Okinawa Churashima Research Center, Ishikawa, Motobu, Okinawa, 905-0206, Japan.

Keiichi Sato (K)

Okinawa Churashima Research Center, Ishikawa, Motobu, Okinawa, 905-0206, Japan.

Michio Kondoh (M)

Faculty of Science and Technology, Ryukoku University, Seta-Oe, Otsu, 520-2194, Shiga, Japan.
Graduate School of Life Sciences Tohoku University 6-3 Aramaki Aza Aoba, Aoba-ku, Sendai, 980-8578, Japan.

Masaki Miya (M)

Department of Ecology and Environmental Sciences, Natural History Museum and Institute, Aoba-cho, Chuo-ku, Chiba, 260-8682, Japan. miya@chiba-muse.or.jp.

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Classifications MeSH