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Function is a better predictor of plant rhizosphere community membership than 16S phylogeny

Abstract:
Rhizobacterial communities are important for plant health but we still have limited understanding of how they are constructed or how they can be manipulated. High-throughput 16S rRNA sequencing provides good information on taxonomic composition but remains an unreliable proxy for phenotypes. In this study, we tested the hypothesis that experimentally observed functional traits would be better predictors of community membership than phylogenetic origin. To test this hypothesis, we sampled communities on four plant species grown in two soil types and characterized 593 bacterial isolates in terms of antibiotic susceptibility, carbon metabolism, resource use and plant growth-promoting traits. In support of our hypothesis we found that three of the four plant species had phylogenetically diverse, but functionally constrained communities. Notably, communities did not grow best on complex media mimicking their host of origin but were distinguished by variation in overall growth characteristics (copiotrophy/oligotrophy) and antibiotic susceptibility. These data, combined with variation in phylogenetic structure, suggest that different classes of traits (antagonistic competition or resource-based) are more important in different communities. This culture-based approach supports and complements the findings of a previous high-throughput 16S rRNA analysis of this experiment and provides functional insights into the patterns observed with culture-independent methods.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1111/1462-2920.15652

Authors


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Role:
Author
ORCID:
0000-0003-0271-9636
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Institution:
University of Oxford
Division:
MPLS
Department:
Biology
Oxford college:
Magdalen College
Role:
Author
ORCID:
0000-0002-8084-2640
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Role:
Author
ORCID:
0000-0002-3730-0985


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Funder identifier:
https://ror.org/00cwqg982
Grant:
BB/M011178/1


Publisher:
Wiley
Journal:
Environmental Microbiology More from this journal
Volume:
23
Issue:
10
Pages:
6089-6103
Publication date:
2021-07-28
Acceptance date:
2021-06-28
DOI:
EISSN:
1462-2920
ISSN:
1462-2912
Pmid:
34190398


Language:
English
Keywords:
Pubs id:
1322166
Local pid:
pubs:1322166
Deposit date:
2025-01-30

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