How much is enough? Effects of technical and biological replication on metabarcoding dietary analysis.


Journal

Molecular ecology
ISSN: 1365-294X
Titre abrégé: Mol Ecol
Pays: England
ID NLM: 9214478

Informations de publication

Date de publication:
01 2019
Historique:
received: 29 01 2018
revised: 16 05 2018
accepted: 23 05 2018
pubmed: 26 6 2018
medline: 13 11 2019
entrez: 26 6 2018
Statut: ppublish

Résumé

DNA metabarcoding is increasingly used in dietary studies to estimate diversity, composition and frequency of occurrence of prey items. However, few studies have assessed how technical and biological replication affect the accuracy of diet estimates. This study addresses these issues using the European free-tailed bat Tadarida teniotis, involving high-throughput sequencing of a small fragment of the COI gene in 15 separate faecal pellets and a 15-pellet pool per each of 20 bats. We investigated how diet descriptors were affected by variability among (a) individuals, (b) pellets of each individual and (c) PCRs of each pellet. In addition, we investigated the impact of (d) analysing separate pellets vs. pellet pools. We found that diet diversity estimates increased steadily with the number of pellets analysed per individual, with seven pellets required to detect ~80% of prey species. Most variation in diet composition was associated with differences among individual bats, followed by pellets per individual and PCRs per pellet. The accuracy of frequency of occurrence estimates increased with the number of pellets analysed per bat, with the highest error rates recorded for prey consumed infrequently by many individuals. Pools provided poor estimates of diet diversity and frequency of occurrence, which were comparable to analysing a single pellet per individual, and consistently missed the less common prey items. Overall, our results stress that maximizing biological replication is critical in dietary metabarcoding studies and emphasize that analysing several samples per individual rather than pooled samples produce more accurate results.

Identifiants

pubmed: 29940083
doi: 10.1111/mec.14779
pmc: PMC7379978
doi:

Types de publication

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

Langues

eng

Sous-ensembles de citation

IM

Pagination

165-175

Subventions

Organisme : EDP Energias de Portugal
Pays : International
Organisme : Fundação para Ciência e Tecnologia
ID : IF/00497/2013
Pays : International
Organisme : Fundação para Ciência e Tecnologia
ID : LTER/BIA-BEC/0004/2009
Pays : International
Organisme : Fundação para Ciência e Tecnologia
ID : PD/BD/113462/2015
Pays : International
Organisme : Fundação para Ciência e Tecnologia
ID : PD/BD/52606/2014
Pays : International
Organisme : EU Horizon 2020
ID : 668981
Pays : International

Informations de copyright

© 2018 The Authors. Molecular Ecology Published by John Wiley & Sons Ltd.

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Auteurs

Vanessa A Mata (VA)

CIBIO-InBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, Universidade do Porto, Vairão, Portugal.
Departamento de Biologia, Faculdade de Ciências, Universidade do Porto, Porto, Portugal.

Hugo Rebelo (H)

CIBIO-InBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, Universidade do Porto, Vairão, Portugal.
CEABN-InBIO, Centro de Ecologia Aplicada "Professor Baeta Neves", Instituto Superior de Agronomia, Universidade de Lisboa, Lisboa, Portugal.
School of Biological Sciences, University of Bristol, Bristol, UK.

Francisco Amorim (F)

CIBIO-InBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, Universidade do Porto, Vairão, Portugal.
Departamento de Biologia, Faculdade de Ciências, Universidade do Porto, Porto, Portugal.

Gary F McCracken (GF)

Department of Ecology and Evolutionary Biology, University of Tennessee, Knoxville, Tennessee.

Simon Jarman (S)

CIBIO-InBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, Universidade do Porto, Vairão, Portugal.
Trace and Environmental DNA (TrEnD) Laboratory, Molecular and Life Sciences, Curtin University, Bentley, WA, Australia.
Environomics Future Science Platform, CSIRO National Collections and Marine Infrastructure, Crawley, WA, Australia.

Pedro Beja (P)

CIBIO-InBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, Universidade do Porto, Vairão, Portugal.
CEABN-InBIO, Centro de Ecologia Aplicada "Professor Baeta Neves", Instituto Superior de Agronomia, Universidade de Lisboa, Lisboa, Portugal.

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