Morphological vs. DNA metabarcoding approaches for the evaluation of stream ecological status with benthic invertebrates: Testing different combinations of markers and strategies of data filtering.


Journal

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

Informations de publication

Date de publication:
07 2021
Historique:
revised: 15 09 2020
received: 29 04 2020
accepted: 09 10 2020
pubmed: 6 11 2020
medline: 23 7 2021
entrez: 5 11 2020
Statut: ppublish

Résumé

Macroinvertebrate assemblages are the most common bioindicators used for stream biomonitoring, yet the standard approach exhibits several time-consuming steps, including the sorting and identification of organisms based on morphological criteria. In this study, we examined if DNA metabarcoding could be used as an efficient molecular-based alternative to the morphology-based monitoring of streams using macroinvertebrates. We compared results achieved with the standard morphological identification of organisms sampled in 18 sites located on 15 French wadeable streams to results obtained with the DNA metabarcoding identification of sorted bulk material of the same macroinvertebrate samples, using read numbers (expressed as relative frequencies) as a proxy for abundances. In particular, we evaluated how combining and filtering metabarcoding data obtained from three different markers (COI: BF1-BR2, 18S: Euka02 and 16S: Inse01) could improve the efficiency of bioassessment. In total, 140 taxa were identified based on morphological criteria, and 127 were identified based on DNA metabarcoding using the three markers, with an overlap of 99 taxa. The threshold values used for sequence filtering based on the "best identity" criterion and the number of reads had an effect on the assessment efficiency of data obtained with each marker. Compared to single marker results, combining data from different markers allowed us to improve the match between biotic index values obtained with the bulk DNA versus morphology-based approaches. Both approaches assigned the same ecological quality class to a majority (86%) of the site sampling events, highlighting both the efficiency of metabarcoding as a biomonitoring tool but also the need for further research to improve this efficiency.

Identifiants

pubmed: 33150613
doi: 10.1111/mec.15723
doi:

Substances chimiques

DNA 9007-49-2

Banques de données

figshare
['10.6084/m9.figshare.13110899', '10.6084/m9.figshare.13110692']

Types de publication

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

Langues

eng

Sous-ensembles de citation

IM

Pagination

3203-3220

Informations de copyright

© 2020 John Wiley & Sons Ltd.

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Auteurs

Albin Meyer (A)

Université de Lorraine, CNRS, LIEC, Metz, France.

Frédéric Boyer (F)

Université Grenoble Alpes, CNRS, LECA, Laboratoire d'Ecologie Alpine, Grenoble, France.

Alice Valentini (A)

SPYGEN, Le Bourget du Lac, France.

Aurélie Bonin (A)

Université Grenoble Alpes, CNRS, LECA, Laboratoire d'Ecologie Alpine, Grenoble, France.
SPYGEN, Le Bourget du Lac, France.
Department of Environmental Science and Policy, Università degli Studi di Milano, Milano, Italy.

Gentile Francesco Ficetola (GF)

Université Grenoble Alpes, CNRS, LECA, Laboratoire d'Ecologie Alpine, Grenoble, France.
Department of Environmental Science and Policy, Università degli Studi di Milano, Milano, Italy.

Jean-Nicolas Beisel (JN)

Université de Strasbourg, CNRS, ENGEES, LIVE UMR 7362, Strasbourg, France.

Jonathan Bouquerel (J)

Université de Lorraine, CNRS, LIEC, Metz, France.

Philippe Wagner (P)

Université de Lorraine, CNRS, LIEC, Metz, France.

Coline Gaboriaud (C)

SPYGEN, Le Bourget du Lac, France.

Florian Leese (F)

University of Duisburg-Essen, Aquatic Ecosystem Research, Essen, Germany.

Tony Dejean (T)

SPYGEN, Le Bourget du Lac, France.

Pierre Taberlet (P)

Université Grenoble Alpes, CNRS, LECA, Laboratoire d'Ecologie Alpine, Grenoble, France.
UiT - The Arctic University of Norway, Tromsø Museum, Tromsø, Norway.

Philippe Usseglio-Polatera (P)

Université de Lorraine, CNRS, LIEC, Metz, France.

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