Genome-wide association analysis for plant height in foxtail millet (Setaria italica L.) germplasm resources in Shanxi, China

A suitable plant height can effectively enhance the nutrient utilization efficiency and lodging resistance of millet. This study utilized 313 local millet varieties from Shanxi as an association group. Plant height was investigated in five different environments, followed by whole-genome deep resequencing. After quality control of the data, 3,160,066 SNP markers uniformly distributed across the nine chromosomes of millet were obtained for genome-wide association analysis (GWAS) of plant height. Eight QTL loci significantly associated with plant height were identified, with each locus explaining 7.13% to 12.08% of the phenotypic variation. Within the 25 kb upstream and downstream confidence intervals of these eight stable QTL loci, forty candidate genes were discovered. Integrating gene annotation information, six candidate genes were identified to be primarily involved in hormone synthesis, cell division regulation, signal transduction, and carbohydrate metabolism. Haplotype analysis revealed that the superior haplotype Hap2 of the candidate gene Millet_GLEAN_10031852 can effectively reduce plant height.

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Publication Details

Journal
ACTA AGRONOMICA SINICA
Published
2024-12-01
DOI
https://doi.org/10.3724/sp.j.1006.2024.44070
Primary Topic
Genetic Mapping and Diversity in Plants and Animals
Type
article
Field-Weighted Citation Impact
0.00

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article

Genome-wide association analysis for plant height in foxtail millet (Setaria italica L.) germplasm resources in Shanxi, China

Haigang Wang, Rui Huang, Sen Hou, Huanjiong Wang et al.
ACTA AGRONOMICA SINICA
Genetic Mapping and Diversity in Plants and Animals
article

Genome-wide association analysis for plant height in foxtail millet (Setaria italica L.) germplasm resources in Shanxi, China

Haigang Wang, Rui Huang, Sen Hou, Huanjiong Wang, Yingwen Pan, Shaoxian Yang, Huibin Qin, Zhenxin Mu
article en

Abstract

A suitable plant height can effectively enhance the nutrient utilization efficiency and lodging resistance of millet. This study utilized 313 local millet varieties from Shanxi as an association group. Plant height was investigated in five different environments, followed by whole-genome deep resequencing. After quality control of the data, 3,160,066 SNP markers uniformly distributed across the nine chromosomes of millet were obtained for genome-wide association analysis (GWAS) of plant height. Eight QTL loci significantly associated with plant height were identified, with each locus explaining 7.13% to 12.08% of the phenotypic variation. Within the 25 kb upstream and downstream confidence intervals of these eight stable QTL loci, forty candidate genes were discovered. Integrating gene annotation information, six candidate genes were identified to be primarily involved in hormone synthesis, cell division regulation, signal transduction, and carbohydrate metabolism. Haplotype analysis revealed that the superior haplotype Hap2 of the candidate gene Millet_GLEAN_10031852 can effectively reduce plant height.

ACTA AGRONOMICA SINICAVol. 50(12)
National Natural Science Foundation of China, Shanxi Agricultural University
Zero hunger
Openalex Percentile: Top 72%
Genetic Mapping and Diversity in Plants and Animals
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Genome-wide association analysis for plant height in foxtail millet (Setaria italica L.) germplasm resources in Shanxi, China — Haigang Wang, Rui Huang, et al. · ACTA AGRONOMICA SINICA (2024) | TGRS Research Map | TGRS