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Design of synthetic bacterial communities for predictable plant phenotypes

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 b...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5819758/
https://www.ncbi.nlm.nih.gov/pubmed/29462153
http://dx.doi.org/10.1371/journal.pbio.2003962
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author 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
author_facet 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
author_sort Herrera Paredes, Sur
collection PubMed
description 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.
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spelling pubmed-58197582018-03-15 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 PLoS Biol Research Article 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. Public Library of Science 2018-02-20 /pmc/articles/PMC5819758/ /pubmed/29462153 http://dx.doi.org/10.1371/journal.pbio.2003962 Text en © 2018 Herrera Paredes et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
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
Design of synthetic bacterial communities for predictable plant phenotypes
title Design of synthetic bacterial communities for predictable plant phenotypes
title_full Design of synthetic bacterial communities for predictable plant phenotypes
title_fullStr Design of synthetic bacterial communities for predictable plant phenotypes
title_full_unstemmed Design of synthetic bacterial communities for predictable plant phenotypes
title_short Design of synthetic bacterial communities for predictable plant phenotypes
title_sort design of synthetic bacterial communities for predictable plant phenotypes
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5819758/
https://www.ncbi.nlm.nih.gov/pubmed/29462153
http://dx.doi.org/10.1371/journal.pbio.2003962
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