Rice Science

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

  1. State Key Laboratory of Crop Gene Resources and Breeding/Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China; Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518120, China; National Nanfan Research Institute (Sanya), Chinese Academy of Agricultural Sciences, Sanya 572024, China; Bangladesh Sugarcrop Research Institute, Ishwardi, Pabna-6620, Bangladesh; #These authors contributed equally to this work
  • 通讯作者: ZHAI Laiyuan; XU Jianlong
  • 基金资助:

    This study was supported by the Shenzhen Science and Technology Program, China (Grant No. KCXFZ20211020163808012), and the Nanfan Special Project, Chinese Academy of Agricultural Sciences, China (Grant No. YBXM2426).

摘要: 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 and measured 13 traits related to AT 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 SNPs were used to identify alkali-tolerance quantitative trait loci (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.

关键词: rice, alkaline tolerance, genome-wide association study, haplotype analysis, candidate gene analysis