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GWAS, MWAS and mGWAS provide insights into precision agriculture based on genotype-dependent microbial effects in foxtail millet
Genetic and environmental factors collectively determine plant growth and yield. In the past 20 years, genome-wide association studies (GWAS) have been conducted on crops to decipher genetic loci that contribute to growth and yield, however, plant genotype appears to be insufficient to explain the t...
Autores principales: | , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9546826/ https://www.ncbi.nlm.nih.gov/pubmed/36207301 http://dx.doi.org/10.1038/s41467-022-33238-4 |
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author | Wang, Yayu Wang, Xiaolin Sun, Shuai Jin, Canzhi Su, Jianmu Wei, Jinpu Luo, Xinyue Wen, Jiawen Wei, Tong Sahu, Sunil Kumar Zou, Hongfeng Chen, Hongyun Mu, Zhixin Zhang, Gengyun Liu, Xin Xu, Xun Gram, Lone Yang, Huanming Wang, Ertao Liu, Huan |
author_facet | Wang, Yayu Wang, Xiaolin Sun, Shuai Jin, Canzhi Su, Jianmu Wei, Jinpu Luo, Xinyue Wen, Jiawen Wei, Tong Sahu, Sunil Kumar Zou, Hongfeng Chen, Hongyun Mu, Zhixin Zhang, Gengyun Liu, Xin Xu, Xun Gram, Lone Yang, Huanming Wang, Ertao Liu, Huan |
author_sort | Wang, Yayu |
collection | PubMed |
description | Genetic and environmental factors collectively determine plant growth and yield. In the past 20 years, genome-wide association studies (GWAS) have been conducted on crops to decipher genetic loci that contribute to growth and yield, however, plant genotype appears to be insufficient to explain the trait variations. Here, we unravel the associations between genotypic, phenotypic, and rhizoplane microbiota variables of 827 foxtail millet cultivars by an integrated GWAS, microbiome-wide association studies (MWAS) and microbiome genome-wide association studies (mGWAS) method. We identify 257 rhizoplane microbial biomarkers associated with six key agronomic traits and validated the microbial-mediated growth effects on foxtail millet using marker strains isolated from the field. The rhizoplane microbiota composition is mainly driven by variations in plant genes related to immunity, metabolites, hormone signaling and nutrient uptake. Among these, the host immune gene FLS2 and transcription factor bHLH35 are widely associated with the microbial taxa of the rhizoplane. We further uncover a plant genotype-microbiota interaction network that contributes to phenotype plasticity. The microbial-mediated growth effects on foxtail millet are dependent on the host genotype, suggesting that precision microbiome management could be used to engineer high-yielding cultivars in agriculture systems. |
format | Online Article Text |
id | pubmed-9546826 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-95468262022-10-09 GWAS, MWAS and mGWAS provide insights into precision agriculture based on genotype-dependent microbial effects in foxtail millet Wang, Yayu Wang, Xiaolin Sun, Shuai Jin, Canzhi Su, Jianmu Wei, Jinpu Luo, Xinyue Wen, Jiawen Wei, Tong Sahu, Sunil Kumar Zou, Hongfeng Chen, Hongyun Mu, Zhixin Zhang, Gengyun Liu, Xin Xu, Xun Gram, Lone Yang, Huanming Wang, Ertao Liu, Huan Nat Commun Article Genetic and environmental factors collectively determine plant growth and yield. In the past 20 years, genome-wide association studies (GWAS) have been conducted on crops to decipher genetic loci that contribute to growth and yield, however, plant genotype appears to be insufficient to explain the trait variations. Here, we unravel the associations between genotypic, phenotypic, and rhizoplane microbiota variables of 827 foxtail millet cultivars by an integrated GWAS, microbiome-wide association studies (MWAS) and microbiome genome-wide association studies (mGWAS) method. We identify 257 rhizoplane microbial biomarkers associated with six key agronomic traits and validated the microbial-mediated growth effects on foxtail millet using marker strains isolated from the field. The rhizoplane microbiota composition is mainly driven by variations in plant genes related to immunity, metabolites, hormone signaling and nutrient uptake. Among these, the host immune gene FLS2 and transcription factor bHLH35 are widely associated with the microbial taxa of the rhizoplane. We further uncover a plant genotype-microbiota interaction network that contributes to phenotype plasticity. The microbial-mediated growth effects on foxtail millet are dependent on the host genotype, suggesting that precision microbiome management could be used to engineer high-yielding cultivars in agriculture systems. Nature Publishing Group UK 2022-10-07 /pmc/articles/PMC9546826/ /pubmed/36207301 http://dx.doi.org/10.1038/s41467-022-33238-4 Text en © The Author(s) 2022 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, Yayu Wang, Xiaolin Sun, Shuai Jin, Canzhi Su, Jianmu Wei, Jinpu Luo, Xinyue Wen, Jiawen Wei, Tong Sahu, Sunil Kumar Zou, Hongfeng Chen, Hongyun Mu, Zhixin Zhang, Gengyun Liu, Xin Xu, Xun Gram, Lone Yang, Huanming Wang, Ertao Liu, Huan GWAS, MWAS and mGWAS provide insights into precision agriculture based on genotype-dependent microbial effects in foxtail millet |
title | GWAS, MWAS and mGWAS provide insights into precision agriculture based on genotype-dependent microbial effects in foxtail millet |
title_full | GWAS, MWAS and mGWAS provide insights into precision agriculture based on genotype-dependent microbial effects in foxtail millet |
title_fullStr | GWAS, MWAS and mGWAS provide insights into precision agriculture based on genotype-dependent microbial effects in foxtail millet |
title_full_unstemmed | GWAS, MWAS and mGWAS provide insights into precision agriculture based on genotype-dependent microbial effects in foxtail millet |
title_short | GWAS, MWAS and mGWAS provide insights into precision agriculture based on genotype-dependent microbial effects in foxtail millet |
title_sort | gwas, mwas and mgwas provide insights into precision agriculture based on genotype-dependent microbial effects in foxtail millet |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9546826/ https://www.ncbi.nlm.nih.gov/pubmed/36207301 http://dx.doi.org/10.1038/s41467-022-33238-4 |
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