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Attribution of dispersal limitation can better explain the assembly patterns of plant microbiota

Disentangling community assembly processes is crucial for fully understanding the function of microbiota in agricultural ecosystems. However, numerous plant microbiome surveys have gradually revealed that stochastic processes dominate the assembly of the endophytic root microbiota in conflict with s...

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Detalles Bibliográficos
Autores principales: Li, Taiqiang, Gao, Jiangyun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10628812/
https://www.ncbi.nlm.nih.gov/pubmed/37941678
http://dx.doi.org/10.3389/fpls.2023.1168760
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author Li, Taiqiang
Gao, Jiangyun
author_facet Li, Taiqiang
Gao, Jiangyun
author_sort Li, Taiqiang
collection PubMed
description Disentangling community assembly processes is crucial for fully understanding the function of microbiota in agricultural ecosystems. However, numerous plant microbiome surveys have gradually revealed that stochastic processes dominate the assembly of the endophytic root microbiota in conflict with strong host filtering effects, which is an important issue. Resolving such conflicts or inconsistencies will not only help accurately predict the composition and structure of the root endophytic microbiota and its driving mechanisms, but also provide important guidance on the correlation between the relative importance of deterministic and stochastic processes in the assembly of the root endophytic microbiota, and crop productivity and nutritional quality. Here, we propose that the inappropriate division of dispersal limitation may be the main reason for such inconsistency, which can be resolved after the proportion of dispersal limitation is incorporated into the deterministic processes. The rationality of this adjustment under the framework of the formation of a holobiont between the microbiome and the plant host is herein explained, and a potential theoretical framework for dynamic assembly patterns of endophytic microbiota along the soil–plant continuum is proposed. Considering that the assembly of root endophytic microbiota is complicated, we suggest caution and level-by-level verification from deterministic processes to neutral components to stochastic processes when deciding on the attribution of dispersal limitation in the future to promote the expansion and application of microbiome engineering in sustainable agricultural development based on community assembly patterns.
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spelling pubmed-106288122023-11-08 Attribution of dispersal limitation can better explain the assembly patterns of plant microbiota Li, Taiqiang Gao, Jiangyun Front Plant Sci Plant Science Disentangling community assembly processes is crucial for fully understanding the function of microbiota in agricultural ecosystems. However, numerous plant microbiome surveys have gradually revealed that stochastic processes dominate the assembly of the endophytic root microbiota in conflict with strong host filtering effects, which is an important issue. Resolving such conflicts or inconsistencies will not only help accurately predict the composition and structure of the root endophytic microbiota and its driving mechanisms, but also provide important guidance on the correlation between the relative importance of deterministic and stochastic processes in the assembly of the root endophytic microbiota, and crop productivity and nutritional quality. Here, we propose that the inappropriate division of dispersal limitation may be the main reason for such inconsistency, which can be resolved after the proportion of dispersal limitation is incorporated into the deterministic processes. The rationality of this adjustment under the framework of the formation of a holobiont between the microbiome and the plant host is herein explained, and a potential theoretical framework for dynamic assembly patterns of endophytic microbiota along the soil–plant continuum is proposed. Considering that the assembly of root endophytic microbiota is complicated, we suggest caution and level-by-level verification from deterministic processes to neutral components to stochastic processes when deciding on the attribution of dispersal limitation in the future to promote the expansion and application of microbiome engineering in sustainable agricultural development based on community assembly patterns. Frontiers Media S.A. 2023-10-24 /pmc/articles/PMC10628812/ /pubmed/37941678 http://dx.doi.org/10.3389/fpls.2023.1168760 Text en Copyright © 2023 Li and Gao https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Plant Science
Li, Taiqiang
Gao, Jiangyun
Attribution of dispersal limitation can better explain the assembly patterns of plant microbiota
title Attribution of dispersal limitation can better explain the assembly patterns of plant microbiota
title_full Attribution of dispersal limitation can better explain the assembly patterns of plant microbiota
title_fullStr Attribution of dispersal limitation can better explain the assembly patterns of plant microbiota
title_full_unstemmed Attribution of dispersal limitation can better explain the assembly patterns of plant microbiota
title_short Attribution of dispersal limitation can better explain the assembly patterns of plant microbiota
title_sort attribution of dispersal limitation can better explain the assembly patterns of plant microbiota
topic Plant Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10628812/
https://www.ncbi.nlm.nih.gov/pubmed/37941678
http://dx.doi.org/10.3389/fpls.2023.1168760
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