Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
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
_version_ 1784805130980294656
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
work_keys_str_mv AT wangyayu gwasmwasandmgwasprovideinsightsintoprecisionagriculturebasedongenotypedependentmicrobialeffectsinfoxtailmillet
AT wangxiaolin gwasmwasandmgwasprovideinsightsintoprecisionagriculturebasedongenotypedependentmicrobialeffectsinfoxtailmillet
AT sunshuai gwasmwasandmgwasprovideinsightsintoprecisionagriculturebasedongenotypedependentmicrobialeffectsinfoxtailmillet
AT jincanzhi gwasmwasandmgwasprovideinsightsintoprecisionagriculturebasedongenotypedependentmicrobialeffectsinfoxtailmillet
AT sujianmu gwasmwasandmgwasprovideinsightsintoprecisionagriculturebasedongenotypedependentmicrobialeffectsinfoxtailmillet
AT weijinpu gwasmwasandmgwasprovideinsightsintoprecisionagriculturebasedongenotypedependentmicrobialeffectsinfoxtailmillet
AT luoxinyue gwasmwasandmgwasprovideinsightsintoprecisionagriculturebasedongenotypedependentmicrobialeffectsinfoxtailmillet
AT wenjiawen gwasmwasandmgwasprovideinsightsintoprecisionagriculturebasedongenotypedependentmicrobialeffectsinfoxtailmillet
AT weitong gwasmwasandmgwasprovideinsightsintoprecisionagriculturebasedongenotypedependentmicrobialeffectsinfoxtailmillet
AT sahusunilkumar gwasmwasandmgwasprovideinsightsintoprecisionagriculturebasedongenotypedependentmicrobialeffectsinfoxtailmillet
AT zouhongfeng gwasmwasandmgwasprovideinsightsintoprecisionagriculturebasedongenotypedependentmicrobialeffectsinfoxtailmillet
AT chenhongyun gwasmwasandmgwasprovideinsightsintoprecisionagriculturebasedongenotypedependentmicrobialeffectsinfoxtailmillet
AT muzhixin gwasmwasandmgwasprovideinsightsintoprecisionagriculturebasedongenotypedependentmicrobialeffectsinfoxtailmillet
AT zhanggengyun gwasmwasandmgwasprovideinsightsintoprecisionagriculturebasedongenotypedependentmicrobialeffectsinfoxtailmillet
AT liuxin gwasmwasandmgwasprovideinsightsintoprecisionagriculturebasedongenotypedependentmicrobialeffectsinfoxtailmillet
AT xuxun gwasmwasandmgwasprovideinsightsintoprecisionagriculturebasedongenotypedependentmicrobialeffectsinfoxtailmillet
AT gramlone gwasmwasandmgwasprovideinsightsintoprecisionagriculturebasedongenotypedependentmicrobialeffectsinfoxtailmillet
AT yanghuanming gwasmwasandmgwasprovideinsightsintoprecisionagriculturebasedongenotypedependentmicrobialeffectsinfoxtailmillet
AT wangertao gwasmwasandmgwasprovideinsightsintoprecisionagriculturebasedongenotypedependentmicrobialeffectsinfoxtailmillet
AT liuhuan gwasmwasandmgwasprovideinsightsintoprecisionagriculturebasedongenotypedependentmicrobialeffectsinfoxtailmillet