Sur Herrera Paredes
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
Authors
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
GABRIEL CASTRILLO Gabriel.Castrillo@nottingham.ac.uk
Associate Professor
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 |
Files
Journal.pbio.2003962
(7.8 Mb)
PDF
Publisher Licence URL
https://creativecommons.org/licenses/by/4.0/
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