Genome-Wide Association Study and Haplotype Analysis Jointly Identify New Candidate Genes for Alkaline Tolerance at Seedling Stage in Rice

Alkaline soil is characterized by high soluble salt content, elevated pH levels, and ionic imbalance, all of which collectively intensify the harmful effects of alkaline stress on plants. To gain molecular insights into alkaline tolerance (AT), we evaluated 13 AT-related traits in 508 diverse rice accessions from the 3K Rice Germplasm Project at the seedling stage. A total of 2 929 764, 2 059 114, and 1 365 868 single nucleotide polymorphisms were used to identify alkaline-tolerance QTLs via genome-wide association studies (GWAS) in the entire population as well as in the xian and geng subpopulations, respectively. Candidate genes and their superior haplotypes were further identified through gene-based association, haplotype analysis, and gene function annotation. In total, 99 QTLs were identified for AT by GWAS, and three genes ( LOC_Os03g49050 for qSSD3.1 , LOC_Os05g48760 for qSKC5 , and LOC_Os12g01922 for qSNC12 ) were selected as the most promising candidate genes. Furthermore, we successfully mined superior alleles of key candidate genes from natural variants associated with AT-related traits. This study identified crucial candidate genes and their favorable alleles for AT traits, laying a foundation for further gene cloning and the development of AT rice varieties via marker-assisted selection.

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Publication Details

Journal
Rice Science
Published
2025-04-23
DOI
https://doi.org/10.1016/j.rsci.2025.04.006
Citations
2
Primary Topic
Genetic Mapping and Diversity in Plants and Animals
Type
article
Field-Weighted Citation Impact
3.63
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article

Genome-Wide Association Study and Haplotype Analysis Jointly Identify New Candidate Genes for Alkaline Tolerance at Seedling Stage in Rice

Jianlong Xu, Zheng Tianqing, Ratan Kumar Ganapati, Zhai Laiyuan et al.
2 citations
Rice Science
Genetic Mapping and Diversity in Plants and Animals
3.63
article

Genome-Wide Association Study and Haplotype Analysis Jointly Identify New Candidate Genes for Alkaline Tolerance at Seedling Stage in Rice

Jianlong Xu, Zheng Tianqing, Ratan Kumar Ganapati, Zhai Laiyuan, Kai Chen, Xiuqin Zhao, Zhang Fan
article en
2 citations

Abstract

Alkaline soil is characterized by high soluble salt content, elevated pH levels, and ionic imbalance, all of which collectively intensify the harmful effects of alkaline stress on plants. To gain molecular insights into alkaline tolerance (AT), we evaluated 13 AT-related traits in 508 diverse rice accessions from the 3K Rice Germplasm Project at the seedling stage. A total of 2 929 764, 2 059 114, and 1 365 868 single nucleotide polymorphisms were used to identify alkaline-tolerance QTLs via genome-wide association studies (GWAS) in the entire population as well as in the xian and geng subpopulations, respectively. Candidate genes and their superior haplotypes were further identified through gene-based association, haplotype analysis, and gene function annotation. In total, 99 QTLs were identified for AT by GWAS, and three genes ( LOC_Os03g49050 for qSSD3.1 , LOC_Os05g48760 for qSKC5 , and LOC_Os12g01922 for qSNC12 ) were selected as the most promising candidate genes. Furthermore, we successfully mined superior alleles of key candidate genes from natural variants associated with AT-related traits. This study identified crucial candidate genes and their favorable alleles for AT traits, laying a foundation for further gene cloning and the development of AT rice varieties via marker-assisted selection.

Rice ScienceVol. 32(4)
Agricultural Genomics Institute at Shenzhen (CN), Chinese Academy of Agricultural Sciences (CN), Sanya University (CN), Institute of Crop Sciences (CN), Bangladesh Agricultural Research Institute (BD)
Zero hunger
Openalex Percentile: Top 8%
Genetic Mapping and Diversity in Plants and Animals
3.63
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Genome-Wide Association Study and Haplotype Analysis Jointly Identify New Candidate Genes for Alkaline Tolerance at Seedling Stage in Rice — Jianlong Xu, Zheng Tianqing, et al. · Rice Science (2025) | TGRS Research Map | TGRS