Deciphering the Functioning of Microbial Communities: Shedding Light on the Critical Steps in Metaproteomics.

bioinformatics mass spectrometry metagenomics metaproteomics microbial ecology

Journal

Frontiers in microbiology
ISSN: 1664-302X
Titre abrégé: Front Microbiol
Pays: Switzerland
ID NLM: 101548977

Informations de publication

Date de publication:
2019
Historique:
received: 15 07 2019
accepted: 03 10 2019
entrez: 12 11 2019
pubmed: 12 11 2019
medline: 12 11 2019
Statut: epublish

Résumé

Unraveling the complex structure and functioning of microbial communities is essential to accurately predict the impact of perturbations and/or environmental changes. From all molecular tools available today to resolve the dynamics of microbial communities, metaproteomics stands out, allowing the establishment of phenotype-genotype linkages. Despite its rapid development, this technology has faced many technical challenges that still hamper its potential power. How to maximize the number of protein identification, improve quality of protein annotation, and provide reliable ecological interpretation are questions of immediate urgency. In our study, we used a robust metaproteomic workflow combining two protein fractionation approaches (gel-based versus gel-free) and four protein search databases derived from the same metagenome to analyze the same seawater sample. The resulting eight metaproteomes provided different outcomes in terms of (i) total protein numbers, (ii) taxonomic structures, and (iii) protein functions. The characterization and/or representativeness of numerous proteins from ecologically relevant taxa such as

Identifiants

pubmed: 31708885
doi: 10.3389/fmicb.2019.02395
pmc: PMC6821674
doi:

Types de publication

Journal Article

Langues

eng

Pagination

2395

Informations de copyright

Copyright © 2019 Géron, Werner, Wattiez, Lebaron and Matallana-Surget.

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Auteurs

Augustin Géron (A)

Division of Biological and Environmental Sciences, Faculty of Natural Sciences, University of Stirling, Stirling, United Kingdom.
Department of Proteomic and Microbiology, University of Mons, Mons, Belgium.

Johannes Werner (J)

Department of Biological Oceanography, Leibniz Institute for Baltic Sea Research, Rostock, Germany.

Ruddy Wattiez (R)

Department of Proteomic and Microbiology, University of Mons, Mons, Belgium.

Philippe Lebaron (P)

Sorbonne Universités, UPMC Université Paris 06, USR 3579, LBBM, Observatoire Océanologique, Banyuls-sur-Mer, France.

Sabine Matallana-Surget (S)

Division of Biological and Environmental Sciences, Faculty of Natural Sciences, University of Stirling, Stirling, United Kingdom.

Classifications MeSH