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Nodulation number tempers the relative importance of stochastic processes in the assembly of soybean root-associated communities

Identifying the ecological forces that structure root-associated microbial communities is an essential step toward more sustainable agriculture. Legumes are widely utilized as model plants to study selective forces and their functioning in plant-microbial interactions owing to their ability to estab...

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Autores principales: Wang, Lei, Jiao, Yan, Bi, Yingdong, Hu, Yanli, Jiang, Yan, Wang, Shaodong, Wang, Sui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10462722/
https://www.ncbi.nlm.nih.gov/pubmed/37640896
http://dx.doi.org/10.1038/s43705-023-00296-8
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author Wang, Lei
Jiao, Yan
Bi, Yingdong
Hu, Yanli
Jiang, Yan
Wang, Shaodong
Wang, Sui
author_facet Wang, Lei
Jiao, Yan
Bi, Yingdong
Hu, Yanli
Jiang, Yan
Wang, Shaodong
Wang, Sui
author_sort Wang, Lei
collection PubMed
description Identifying the ecological forces that structure root-associated microbial communities is an essential step toward more sustainable agriculture. Legumes are widely utilized as model plants to study selective forces and their functioning in plant-microbial interactions owing to their ability to establish mutualism with rhizobia. Root nodules act as symbiotic organs to optimize the cost-benefit balance in this mutualistic relationship by modulating the number of nodules. However, it is not known whether the number of nodules is related to the structure of root-associated bacterial communities. Here, the root-associated bacterial communities of soybean grown in native soil by means of soybean cultivars with super- or normal nodulation were investigated across four developmental stages. We compared ecological processes between communities and found decreased relative importance of neutral processes for super-nodulating soybean, although the overall structures resembled those of normal-nodulating soybean. We identified the generalist core bacterial populations in each root-associated compartment, that are shared across root-associated niches, and persist through developmental stages. Within core bacterial species, the relative abundances of bacterial species in the rhizosphere microbiome were linked to host-plant functional traits and can be used to predict these traits from microbes using machine learning algorithms. These findings broaden the comprehensive understanding of the ecological forces and associations of microbiotas in various root-associated compartments and provide novel insights to integrate beneficial plant microbiomes into agricultural production to enhance plant performance. [Image: see text]
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spelling pubmed-104627222023-08-30 Nodulation number tempers the relative importance of stochastic processes in the assembly of soybean root-associated communities Wang, Lei Jiao, Yan Bi, Yingdong Hu, Yanli Jiang, Yan Wang, Shaodong Wang, Sui ISME Commun Article Identifying the ecological forces that structure root-associated microbial communities is an essential step toward more sustainable agriculture. Legumes are widely utilized as model plants to study selective forces and their functioning in plant-microbial interactions owing to their ability to establish mutualism with rhizobia. Root nodules act as symbiotic organs to optimize the cost-benefit balance in this mutualistic relationship by modulating the number of nodules. However, it is not known whether the number of nodules is related to the structure of root-associated bacterial communities. Here, the root-associated bacterial communities of soybean grown in native soil by means of soybean cultivars with super- or normal nodulation were investigated across four developmental stages. We compared ecological processes between communities and found decreased relative importance of neutral processes for super-nodulating soybean, although the overall structures resembled those of normal-nodulating soybean. We identified the generalist core bacterial populations in each root-associated compartment, that are shared across root-associated niches, and persist through developmental stages. Within core bacterial species, the relative abundances of bacterial species in the rhizosphere microbiome were linked to host-plant functional traits and can be used to predict these traits from microbes using machine learning algorithms. These findings broaden the comprehensive understanding of the ecological forces and associations of microbiotas in various root-associated compartments and provide novel insights to integrate beneficial plant microbiomes into agricultural production to enhance plant performance. [Image: see text] Nature Publishing Group UK 2023-08-28 /pmc/articles/PMC10462722/ /pubmed/37640896 http://dx.doi.org/10.1038/s43705-023-00296-8 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Wang, Lei
Jiao, Yan
Bi, Yingdong
Hu, Yanli
Jiang, Yan
Wang, Shaodong
Wang, Sui
Nodulation number tempers the relative importance of stochastic processes in the assembly of soybean root-associated communities
title Nodulation number tempers the relative importance of stochastic processes in the assembly of soybean root-associated communities
title_full Nodulation number tempers the relative importance of stochastic processes in the assembly of soybean root-associated communities
title_fullStr Nodulation number tempers the relative importance of stochastic processes in the assembly of soybean root-associated communities
title_full_unstemmed Nodulation number tempers the relative importance of stochastic processes in the assembly of soybean root-associated communities
title_short Nodulation number tempers the relative importance of stochastic processes in the assembly of soybean root-associated communities
title_sort nodulation number tempers the relative importance of stochastic processes in the assembly of soybean root-associated communities
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10462722/
https://www.ncbi.nlm.nih.gov/pubmed/37640896
http://dx.doi.org/10.1038/s43705-023-00296-8
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