Bacterial genome size and gene functional diversity negatively correlate with taxonomic diversity along a pH gradient.


Journal

Nature communications
ISSN: 2041-1723
Titre abrégé: Nat Commun
Pays: England
ID NLM: 101528555

Informations de publication

Date de publication:
17 11 2023
Historique:
received: 06 06 2023
accepted: 06 11 2023
medline: 20 11 2023
pubmed: 18 11 2023
entrez: 18 11 2023
Statut: epublish

Résumé

Bacterial gene repertoires reflect adaptive strategies, contribute to ecosystem functioning and are limited by genome size. However, gene functional diversity does not necessarily correlate with taxonomic diversity because average genome size may vary by community. Here, we analyse gene functional diversity (by shotgun metagenomics) and taxonomic diversity (by 16S rRNA gene amplicon sequencing) to investigate soil bacterial communities along a natural pH gradient in 12 tropical, subtropical, and temperate forests. We find that bacterial average genome size and gene functional diversity decrease, whereas taxonomic diversity increases, as soil pH rises from acid to neutral; as a result, bacterial taxonomic and functional diversity are negatively correlated. The gene repertoire of acid-adapted oligotrophs is enriched in functions of signal transduction, cell motility, secretion system, and degradation of complex compounds, while that of neutral pH-adapted copiotrophs is enriched in functions of energy metabolism and membrane transport. Our results indicate that a mismatch between taxonomic and functional diversity can arise when environmental factors (such as pH) select for adaptive strategies that affect genome size distributions.

Identifiants

pubmed: 37978289
doi: 10.1038/s41467-023-43297-w
pii: 10.1038/s41467-023-43297-w
pmc: PMC10656551
doi:

Substances chimiques

RNA, Ribosomal, 16S 0
Soil 0

Types de publication

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

Langues

eng

Sous-ensembles de citation

IM

Pagination

7437

Informations de copyright

© 2023. The Author(s).

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Auteurs

Cong Wang (C)

State Key Laboratory of Mycology, Institute of Microbiology, Chinese Academy of Sciences, 100101, Beijing, China.
College of Life Sciences, University of Chinese Academy of Sciences, 100049, Beijing, China.

Qing-Yi Yu (QY)

State Key Laboratory of Mycology, Institute of Microbiology, Chinese Academy of Sciences, 100101, Beijing, China.
College of Life Sciences, University of Chinese Academy of Sciences, 100049, Beijing, China.

Niu-Niu Ji (NN)

State Key Laboratory of Mycology, Institute of Microbiology, Chinese Academy of Sciences, 100101, Beijing, China.
Center for Advanced Bioenergy and Bioproducts Innovation, University of Illinois Urbana-Champaign, Urbana, IL, 61801, USA.

Yong Zheng (Y)

State Key Laboratory of Mycology, Institute of Microbiology, Chinese Academy of Sciences, 100101, Beijing, China.
School of Geographical Sciences, Fujian Normal University, 350007, Fuzhou, China.

John W Taylor (JW)

Department of Plant and Microbial Biology, University of California, Berkeley, CA, 94720, USA.

Liang-Dong Guo (LD)

State Key Laboratory of Mycology, Institute of Microbiology, Chinese Academy of Sciences, 100101, Beijing, China. guold@im.ac.cn.
College of Life Sciences, University of Chinese Academy of Sciences, 100049, Beijing, China. guold@im.ac.cn.

Cheng Gao (C)

State Key Laboratory of Mycology, Institute of Microbiology, Chinese Academy of Sciences, 100101, Beijing, China. gaoc@im.ac.cn.
College of Life Sciences, University of Chinese Academy of Sciences, 100049, Beijing, China. gaoc@im.ac.cn.

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Classifications MeSH