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...
| Main Authors: | , , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2018-02-01
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| Series: | PLoS Biology |
| Online Access: | https://doi.org/10.1371/journal.pbio.2003962 |
| _version_ | 1818727643023933440 |
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| author | 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 Gabriel Castrillo |
| author_facet | 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 Gabriel Castrillo |
| author_sort | Sur Herrera Paredes |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-12-17T22:17:21Z |
| format | Article |
| id | doaj.art-e0a6474225324eb5b09a53b681f9294d |
| institution | Directory Open Access Journal |
| issn | 1544-9173 1545-7885 |
| language | English |
| last_indexed | 2024-12-17T22:17:21Z |
| publishDate | 2018-02-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS Biology |
| spelling | doaj.art-e0a6474225324eb5b09a53b681f9294d2022-12-21T21:30:34ZengPublic Library of Science (PLoS)PLoS Biology1544-91731545-78852018-02-01162e200396210.1371/journal.pbio.2003962Design of synthetic bacterial communities for predictable plant phenotypes.Sur Herrera ParedesTianxiang GaoTheresa F LawOmri M FinkelTatiana MucynPaulo José Pereira Lima TeixeiraIsaí Salas GonzálezMeghan E FeltcherMatthew J PowersElizabeth A ShankCorbin D JonesVladimir JojicJeffery L DanglGabriel CastrilloSpecific 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.https://doi.org/10.1371/journal.pbio.2003962 |
| spellingShingle | 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 Gabriel Castrillo Design of synthetic bacterial communities for predictable plant phenotypes. PLoS Biology |
| 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 |
| url | https://doi.org/10.1371/journal.pbio.2003962 |
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