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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...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2018
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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. |
format | Online Article Text |
id | pubmed-5819758 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
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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