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GWAS, MWAS and mGWAS provide insights into precision agriculture based on genotype-dependent microbial effects in foxtail millet

Agriculture

GWAS, MWAS and mGWAS provide insights into precision agriculture based on genotype-dependent microbial effects in foxtail millet

Y. Wang, X. Wang, et al.

This groundbreaking study, conducted by Yayu Wang and colleagues, reveals how genetic and environmental factors shape plant growth and yield. By integrating various analytical methods on 827 foxtail millet cultivars, the researchers uncovered 257 microbial biomarkers that influence agricultural traits, highlighting the potential of precision microbiome management to boost crop yields.... show more
Abstract
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.
Publisher
Nature Communications
Published On
Oct 07, 2022
Authors
Yayu Wang, Xiaolin Wang, Shuai Sun, Canzhi Jin, Jianmu Su, Jinpu Wei, Xinyue Luo, Jiawen Wen, Tong Wei, Sunil Kumar Sahu, Hongfeng Zou, Hongyun Chen, Zhixin Mu, Gengyun Zhang, Xin Liu, Xun Xu, Lone Gram, Huanming Yang, Ertao Wang, Huan Liu
Tags
foxtail millet
microbial biomarkers
crop yield
genotype-microbiota interaction
phenotype plasticity
GWAS
microbiome management
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