Chinese Journal OF Rice Science ›› 2024, Vol. 38 ›› Issue (2): 150-159.DOI: 10.16819/j.1001-7216.2024.230305

• Research Papers • Previous Articles     Next Articles

Genome-wide Association Analysis of Rice Seed Dehydration Rate at Maturity Stage

LIU Zhongqi1,2, ZHANG Haiqing1, HE Jiwai1,*(), GUI Jinxin1   

  1. 1College of Agronomy, Hunan Agricultural University, Changsha 410128, China
    2Life Science and Technology Center, China National Seed Group Co., Ltd, Wuhan 430070, China
  • Received:2023-03-17 Revised:2023-06-16 Online:2024-03-10 Published:2024-03-14
  • Contact: * email: hejiwai@hunau.edu.cn

成熟期水稻种子脱水速率全基因组关联分析

刘忠奇1,2, 张海清1, 贺记外1,*(), 桂金鑫1   

  1. 1湖南农业大学 农学院, 长沙 410128
    2中国种子集团有限公司 生命科学技术中心, 武汉 430070
  • 通讯作者: * email: hejiwai@hunau.edu.cn
  • 基金资助:
    湖南省自然科学基金资助项目(2020JJ5232)

Abstract:

【Objective】The dehydration rate of grains directly influences the safe harvesting and rapid drying of seeds. Therefore, to ensure seed quality and reduce production costs, varieties with low grain moisture content and fast dehydration rates were selected for production. 【Method】A total of 165 rice core germplasms from 82 different countries and regions were used as experimental materials. Genome-wide association analysis (GWAS) was conducted by combining the phenotype and genotype of seed dehydration rates at the maturity stage. This aimed to explore key genes sensitive to dehydration and their regulatory roles in rice germplasm, laying a foundation for cultivating and developing fast dehydration varieties. 【Results】1) Descriptive statistical analysis of dehydration rate traits of the rice core germplasm population showed that these traits exhibited continuously skewed normal distributions over two years, with significant correlations between years for rapid dehydration rates. Rapid dehydration rates were positively correlated with slow dehydration rates across different subgroups. 2) GWAS analysis identified 170 SNPs and 36 QTLs associated with dehydration rates. LD analysis revealed six QTLs closely related to dehydration rates: qGDR2.3, qGDR4.1, qGDR4.2, qGDR6.1, qGDR6.4, and qGDR10.1. 【Conclusion】 The main candidate genes within these QTL intervals, including OsPIP1;1, OsTIFY9, OsbZIP48, OsATG8b, OsDREB1C, OsSCP46, are closely associated with water transport activity, signal transduction, transcriptional regulation, and antioxidant defense. It is speculated that they play roles in seed dehydration rates and can serve as optimal candidate genes.

Key words: rice seed, dehydration rate, QTL, genome-wide association analysis

摘要:

【目的】籽粒脱水速率直接影响种子的安全收获和快速干燥。选育成熟期籽粒含水量低、脱水速率快的品种,可保障种子质量,降低生产成本。【方法】采用来自82个不同国家和地区的165份水稻核心种质作为试验材料,将成熟期种子脱水速率表型与基因型相结合进行GWAS分析,挖掘调控种子脱水的关键基因,为培育和创制脱水快速品种奠定基础。【结果】1)对165份水稻核心种质群体脱水速率性状进行描述性统计分析,结果显示2年脱水速率性状均呈连续性偏正态分布,2年快速脱水的脱水速率性状在年际间具有显著相关性。不同亚群之间快速脱水与慢速脱水速率正相关。2)GWAS关联分析共获得与脱水速率显著关联的SNP 170个,QTL 36个。通过LD分析定位到6个与脱水速率密切相关的QTL,分别为qGDR2.3、qGDR4.1、qGDR4.2、qGDR6.1、qGDR6.4、qGDR10.1【结论】这些QTL区间内主要候选基因OsPIP1;1、OsTIFY9、OsbZIP48、OsATG8bOsDREB1COsSCP46与水分转运活性、信号转导、转录调控、抗氧化防御密切相关,推测它们与成熟期水稻种子脱水速率相关,可作为候选基因。

关键词: 水稻种子, 脱水速率, 数量性状基因座, 全基因组关联分析