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Design of synthetic bacterial communities for predictable plant phenotypes

Herrera Paredes, Sur; Gao, Tianxiang; Law, Theresa F.; Finkel, Omri M.; Mucyn, Tatiana; Teixeira, Paulo José Pereira Lima; Salas González, Isaí; Feltcher, Meghan E.; Powers, Matthew J.; Shank, Elizabeth A.; Jones, Corbin D.; Jojic, Vladimir; Dangl, Jeffery L.; Castrillo, Gabriel

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Authors

Sur Herrera Paredes

Tianxiang Gao

Theresa F. Law

Omri M. Finkel

Tatiana Mucyn

Paulo José Pereira Lima Teixeira

Isaí Salas González

Meghan E. Feltcher

Matthew J. Powers

Elizabeth A. Shank

Corbin D. Jones

Vladimir Jojic

Jeffery L. Dangl



Contributors

Eric Kemen
Editor

Abstract

Specific members of complex microbiota can influence host phenotypes, depending on both the abiotic environment and the presence of other microorganisms. Therefore, it is challenging to define bacterial combinations that have predictable host phenotypic outputs. We demonstrate that plant-bacterium binary-association assays inform the design of small synthetic communities with predictable phenotypes in the host. Specifically, we constructed synthetic communities that modified phosphate accumulation in the shoot and induced phosphate starvation-responsive genes in a predictable fashion. We found that bacterial colonization of the plant is not a predictor of the plant phenotypes we analyzed. Finally, we demonstrated that characterizing a subset of all possible bacterial synthetic communities is sufficient to predict the outcome of untested bacterial consortia. Our results demonstrate that it is possible to infer causal relationships between microbiota membership and host phenotypes and to use these inferences to rationally design novel communities

Citation

Herrera Paredes, S., Gao, T., Law, T. F., Finkel, O. M., Mucyn, T., Teixeira, P. J. P. L., …Castrillo, G. (2018). Design of synthetic bacterial communities for predictable plant phenotypes. PLoS Biology, 16(2), Article e2003962. https://doi.org/10.1371/journal.pbio.2003962

Journal Article Type Article
Acceptance Date Jan 17, 2018
Online Publication Date Feb 20, 2018
Publication Date Feb 20, 2018
Deposit Date Jul 24, 2019
Publicly Available Date Mar 28, 2024
Journal PLOS Biology
Print ISSN 1544-9173
Electronic ISSN 1545-7885
Publisher Public Library of Science
Peer Reviewed Peer Reviewed
Volume 16
Issue 2
Article Number e2003962
DOI https://doi.org/10.1371/journal.pbio.2003962
Public URL https://nottingham-repository.worktribe.com/output/2338225
Publisher URL https://journals.plos.org/plosbiology/article?id=10.1371/journal.pbio.2003962

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