Co-occurrence networks reveal more complexity than community composition in resistance and resilience of microbial communities.


Journal

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

Informations de publication

Date de publication:
05 07 2022
Historique:
received: 20 05 2021
accepted: 14 06 2022
entrez: 5 7 2022
pubmed: 6 7 2022
medline: 8 7 2022
Statut: epublish

Résumé

Plant response to drought stress involves fungi and bacteria that live on and in plants and in the rhizosphere, yet the stability of these myco- and micro-biomes remains poorly understood. We investigate the resistance and resilience of fungi and bacteria to drought in an agricultural system using both community composition and microbial associations. Here we show that tests of the fundamental hypotheses that fungi, as compared to bacteria, are (i) more resistant to drought stress but (ii) less resilient when rewetting relieves the stress, found robust support at the level of community composition. Results were more complex using all-correlations and co-occurrence networks. In general, drought disrupts microbial networks based on significant positive correlations among bacteria, among fungi, and between bacteria and fungi. Surprisingly, co-occurrence networks among functional guilds of rhizosphere fungi and leaf bacteria were strengthened by drought, and the same was seen for networks involving arbuscular mycorrhizal fungi in the rhizosphere. We also found support for the stress gradient hypothesis because drought increased the relative frequency of positive correlations.

Identifiants

pubmed: 35790741
doi: 10.1038/s41467-022-31343-y
pii: 10.1038/s41467-022-31343-y
pmc: PMC9256619
doi:

Types de publication

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

Langues

eng

Sous-ensembles de citation

IM

Pagination

3867

Informations de copyright

© 2022. The Author(s).

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Auteurs

Cheng Gao (C)

State Key Laboratory of Mycology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, 100101, China. gaoc@im.ac.cn.
Department of Plant and Microbial Biology, University of California, Berkeley, CA, 94720, USA. gaoc@im.ac.cn.

Ling Xu (L)

Department of Plant and Microbial Biology, University of California, Berkeley, CA, 94720, USA.
State Key Laboratory of Plant Physiology and Biochemistry, College of Biological Sciences, China Agricultural University, Beijing, 100193, China.

Liliam Montoya (L)

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

Mary Madera (M)

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

Joy Hollingsworth (J)

University of California Kearney Agricultural Research & Extension Center, Parlier, CA, 93648, USA.

Liang Chen (L)

CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, 100101, China.

Elizabeth Purdom (E)

Department of Statistics, University of California, Berkeley, CA, 94720, USA.

Vasanth Singan (V)

Department of Energy Joint Genome Institute, 1 Cyclotron Rd., Berkeley, CA, 94720, USA.

John Vogel (J)

Department of Plant and Microbial Biology, University of California, Berkeley, CA, 94720, USA.
Department of Energy Joint Genome Institute, 1 Cyclotron Rd., Berkeley, CA, 94720, USA.

Robert B Hutmacher (RB)

UC Davis Department of Plant Sciences, University of California West Side Research & Extension Center, Five Points, CA, 93624, US.

Jeffery A Dahlberg (JA)

University of California Kearney Agricultural Research & Extension Center, Parlier, CA, 93648, USA.

Devin Coleman-Derr (D)

Department of Plant and Microbial Biology, University of California, Berkeley, CA, 94720, USA.
Plant Gene Expression Center, US Department of Agriculture-Agricultural Research Service, Albany, CA, 94710, USA.

Peggy G Lemaux (PG)

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

John W Taylor (JW)

Department of Plant and Microbial Biology, University of California, Berkeley, CA, 94720, USA. jtaylor@berkeley.edu.

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Classifications MeSH