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Small changes in rhizosphere microbiome composition predict disease outcomes earlier than pathogen density variations

Even in homogeneous conditions, plants facing a soilborne pathogen tend to show a binary outcome with individuals either remaining fully healthy or developing severe to lethal disease symptoms. As the rhizosphere microbiome is a major determinant of plant health, we postulated that such a binary out...

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Autores principales: Gu, Yian, Banerjee, Samiran, Dini-Andreote, Francisco, Xu, Yangchun, Shen, Qirong, Jousset, Alexandre, Wei, Zhong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9478146/
https://www.ncbi.nlm.nih.gov/pubmed/35869387
http://dx.doi.org/10.1038/s41396-022-01290-z
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author Gu, Yian
Banerjee, Samiran
Dini-Andreote, Francisco
Xu, Yangchun
Shen, Qirong
Jousset, Alexandre
Wei, Zhong
author_facet Gu, Yian
Banerjee, Samiran
Dini-Andreote, Francisco
Xu, Yangchun
Shen, Qirong
Jousset, Alexandre
Wei, Zhong
author_sort Gu, Yian
collection PubMed
description Even in homogeneous conditions, plants facing a soilborne pathogen tend to show a binary outcome with individuals either remaining fully healthy or developing severe to lethal disease symptoms. As the rhizosphere microbiome is a major determinant of plant health, we postulated that such a binary outcome may result from an early divergence in the rhizosphere microbiome assembly that may further cascade into varying disease suppression abilities. We tested this hypothesis by setting up a longitudinal study of tomato plants growing in a natural but homogenized soil infested with the soilborne bacterial pathogen Ralstonia solanacearum. Starting from an originally identical species pool, individual rhizosphere microbiome compositions rapidly diverged into multiple configurations during the plant vegetative growth. This variation in community composition was strongly associated with later disease development during the later fruiting state. Most interestingly, these patterns also significantly predicted disease outcomes 2 weeks before any difference in pathogen density became apparent between the healthy and diseased groups. In this system, a total of 135 bacterial OTUs were associated with persistent healthy plants. Five of these enriched OTUs (Lysinibacillus, Pseudarthrobacter, Bordetella, Bacillus, and Chryseobacterium) were isolated and shown to reduce disease severity by 30.4–100% when co-introduced with the pathogen. Overall, our results demonstrated that an initially homogenized soil can rapidly diverge into rhizosphere microbiomes varying in their ability to promote plant protection. This suggests that early life interventions may have significant effects on later microbiome states, and highlights an exciting opportunity for microbiome diagnostics and plant disease prevention.
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spelling pubmed-94781462022-09-17 Small changes in rhizosphere microbiome composition predict disease outcomes earlier than pathogen density variations Gu, Yian Banerjee, Samiran Dini-Andreote, Francisco Xu, Yangchun Shen, Qirong Jousset, Alexandre Wei, Zhong ISME J Article Even in homogeneous conditions, plants facing a soilborne pathogen tend to show a binary outcome with individuals either remaining fully healthy or developing severe to lethal disease symptoms. As the rhizosphere microbiome is a major determinant of plant health, we postulated that such a binary outcome may result from an early divergence in the rhizosphere microbiome assembly that may further cascade into varying disease suppression abilities. We tested this hypothesis by setting up a longitudinal study of tomato plants growing in a natural but homogenized soil infested with the soilborne bacterial pathogen Ralstonia solanacearum. Starting from an originally identical species pool, individual rhizosphere microbiome compositions rapidly diverged into multiple configurations during the plant vegetative growth. This variation in community composition was strongly associated with later disease development during the later fruiting state. Most interestingly, these patterns also significantly predicted disease outcomes 2 weeks before any difference in pathogen density became apparent between the healthy and diseased groups. In this system, a total of 135 bacterial OTUs were associated with persistent healthy plants. Five of these enriched OTUs (Lysinibacillus, Pseudarthrobacter, Bordetella, Bacillus, and Chryseobacterium) were isolated and shown to reduce disease severity by 30.4–100% when co-introduced with the pathogen. Overall, our results demonstrated that an initially homogenized soil can rapidly diverge into rhizosphere microbiomes varying in their ability to promote plant protection. This suggests that early life interventions may have significant effects on later microbiome states, and highlights an exciting opportunity for microbiome diagnostics and plant disease prevention. Nature Publishing Group UK 2022-07-22 2022-10 /pmc/articles/PMC9478146/ /pubmed/35869387 http://dx.doi.org/10.1038/s41396-022-01290-z Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Gu, Yian
Banerjee, Samiran
Dini-Andreote, Francisco
Xu, Yangchun
Shen, Qirong
Jousset, Alexandre
Wei, Zhong
Small changes in rhizosphere microbiome composition predict disease outcomes earlier than pathogen density variations
title Small changes in rhizosphere microbiome composition predict disease outcomes earlier than pathogen density variations
title_full Small changes in rhizosphere microbiome composition predict disease outcomes earlier than pathogen density variations
title_fullStr Small changes in rhizosphere microbiome composition predict disease outcomes earlier than pathogen density variations
title_full_unstemmed Small changes in rhizosphere microbiome composition predict disease outcomes earlier than pathogen density variations
title_short Small changes in rhizosphere microbiome composition predict disease outcomes earlier than pathogen density variations
title_sort small changes in rhizosphere microbiome composition predict disease outcomes earlier than pathogen density variations
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9478146/
https://www.ncbi.nlm.nih.gov/pubmed/35869387
http://dx.doi.org/10.1038/s41396-022-01290-z
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