A comparative whole-genome approach identifies bacterial traits for marine microbial interactions.


Journal

Communications biology
ISSN: 2399-3642
Titre abrégé: Commun Biol
Pays: England
ID NLM: 101719179

Informations de publication

Date de publication:
28 03 2022
Historique:
received: 09 10 2020
accepted: 30 12 2021
entrez: 29 3 2022
pubmed: 30 3 2022
medline: 19 4 2022
Statut: epublish

Résumé

Microbial interactions shape the structure and function of microbial communities with profound consequences for biogeochemical cycles and ecosystem health. Yet, most interaction mechanisms are studied only in model systems and their prevalence is unknown. To systematically explore the functional and interaction potential of sequenced marine bacteria, we developed a trait-based approach, and applied it to 473 complete genomes (248 genera), representing a substantial fraction of marine microbial communities. We identified genome functional clusters (GFCs) which group bacterial taxa with common ecology and life history. Most GFCs revealed unique combinations of interaction traits, including the production of siderophores (10% of genomes), phytohormones (3-8%) and different B vitamins (57-70%). Specific GFCs, comprising Alpha- and Gammaproteobacteria, displayed more interaction traits than expected by chance, and are thus predicted to preferentially interact synergistically and/or antagonistically with bacteria and phytoplankton. Linked trait clusters (LTCs) identify traits that may have evolved to act together (e.g., secretion systems, nitrogen metabolism regulation and B vitamin transporters), providing testable hypotheses for complex mechanisms of microbial interactions. Our approach translates multidimensional genomic information into an atlas of marine bacteria and their putative functions, relevant for understanding the fundamental rules that govern community assembly and dynamics.

Identifiants

pubmed: 35347228
doi: 10.1038/s42003-022-03184-4
pii: 10.1038/s42003-022-03184-4
pmc: PMC8960797
doi:

Banques de données

figshare
['10.6084/m9.figshare.16942780']

Types de publication

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

Langues

eng

Sous-ensembles de citation

IM

Pagination

276

Subventions

Organisme : Human Frontier Science Program (HFSP)
ID : RGB 0020/2016

Informations de copyright

© 2022. The Author(s).

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Auteurs

Luca Zoccarato (L)

Department of Plankton and Microbial Ecology, Leibniz Institute of Freshwater Ecology and Inland Fisheries (IGB), 16775, Stechlin, Germany. luca.zoccarato@boku.ac.at.

Daniel Sher (D)

Department of Marine Biology, Leon H. Charney School of Marine Sciences, University of Haifa, 3498838, Haifa, Israel. dsher@univ.haifa.ac.il.

Takeshi Miki (T)

Faculty of Advanced Science and Technology, Ryukoku University, 520-2194, Otsu, Japan.

Daniel Segrè (D)

Departments of Biology, Biomedical Engineering, Physics, Boston University, 02215, Boston, MA, USA.
Bioinformatics Program & Biological Design Center, Boston University, 02215, Boston, MA, USA.

Hans-Peter Grossart (HP)

Department of Plankton and Microbial Ecology, Leibniz Institute of Freshwater Ecology and Inland Fisheries (IGB), 16775, Stechlin, Germany. hanspeter.grossart@igb-berlin.de.
Berlin-Brandenburg Institute of Advanced Biodiversity Research (BBIB), 14195, Berlin, Germany. hanspeter.grossart@igb-berlin.de.
Institute of Biochemistry and Biology, Potsdam University, 14476, Potsdam, Germany. hanspeter.grossart@igb-berlin.de.

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Classifications MeSH