Ancestry and adaptive radiation of Bacteroidetes as assessed by comparative genomics.


Journal

Systematic and applied microbiology
ISSN: 1618-0984
Titre abrégé: Syst Appl Microbiol
Pays: Germany
ID NLM: 8306133

Informations de publication

Date de publication:
Mar 2020
Historique:
received: 02 09 2019
revised: 20 12 2019
accepted: 16 01 2020
pubmed: 15 2 2020
medline: 26 3 2020
entrez: 15 2 2020
Statut: ppublish

Résumé

To date, the phylum Bacteroidetes comprises more than 1,500 described species with diverse ecological roles. However, there is little understanding of archetypal Bacteroidetes traits at a genomic level. In this study, a representative set of 89 Bacteroidetes genomes was compiled, and pairwise reciprocal best-match gene comparisons and gene syntenies were used to identify common traits that allowed Bacteroidetes evolution and adaptive radiation to be traced. The type IX secretion system (T9SS) was highly conserved among all studied Bacteroidetes. Class-level comparisons furthermore suggested that the ACIII-caa

Identifiants

pubmed: 32057584
pii: S0723-2020(20)30013-8
doi: 10.1016/j.syapm.2020.126065
pii:
doi:

Substances chimiques

Bacterial Proteins 0
Bacterial Secretion Systems 0

Types de publication

Comparative Study Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

126065

Informations de copyright

Copyright © 2020 Elsevier GmbH. All rights reserved.

Auteurs

Raul Munoz (R)

Department of Molecular Ecology, Max-Planck-Institute for Marine Microbiology, D-28359 Bremen, Germany; Marine Microbiology Group, Department of Ecology and Marine Resources, Institut Mediterrani d'Estudis Avançats (CSIC-UIB), E-07190 Esporles, Balearic Islands, Spain. Electronic address: raul.munoz3@estudiant.uib.cat.

Hanno Teeling (H)

Department of Molecular Ecology, Max-Planck-Institute for Marine Microbiology, D-28359 Bremen, Germany.

Rudolf Amann (R)

Department of Molecular Ecology, Max-Planck-Institute for Marine Microbiology, D-28359 Bremen, Germany.

Ramon Rosselló-Móra (R)

Marine Microbiology Group, Department of Ecology and Marine Resources, Institut Mediterrani d'Estudis Avançats (CSIC-UIB), E-07190 Esporles, Balearic Islands, Spain. Electronic address: ramon@imedea.uib-csic.es.

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Classifications MeSH