数字农科院2.0

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

文献类型: 外文期刊

作者: Ratan Kumar Ganapati;Kai Chen;Xiuqin Zhao;Tianqing Zheng;Fan Zhang;Laiyuan Zhai;Jianlong Xu

作者机构:

关键词: (2-1-2)alkaline tolerance;candidate gene;genome-wide association study;haplotype analysis;rice

期刊名称: Rice Science

ISSN: 1672-6308

年卷期: 2025 年 32 卷 4 期

页码:

收录情况: SCIE(2025版) ; ; CSCD(2025-2026年度) ; ; 科技核心(2024版) ; ; 农林核心(2024版)

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 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.

分类号:

  • 相关文献

[1]Combining Genome-Wide Association Study and Gene-Based Haplotype Analysis to Identify Candidate Genes for Alkali Tolerance at the Germination Stage in Rice. Song Mei,Guogen Zhang,Jing Jiang,Jingbing Lu,Fan Zhang. 2022

[2]Combining a Genome-Wide Association Study and Gene-Based Haplotype Analysis to Identify Candidate Genes for Cold Tolerance at the Bud Burst Stage in Rice (Oryza sativa L.). Wenqiang Chen,Pingping Li,Guogen Zhang,Kai Chen,Zhixin Li,Jianlong Xu. 2023

[3]Candidate genes for alkali tolerance identified by genome-wide association study at the seedling stage in rice (Oryza sativa L.). Wan Sheng,Guogen Zhang,Laiyuan Zhai,Jianlong Xu. 2025

[4]Candidate genes for alkali tolerance identified by genome-wide association study at the seedling stage in rice (Oryza sativa L.). Wan Sheng,Guogen Zhang,Laiyuan Zhai,Jianlong Xu. 2024

[5]Distribution characteristics of selenium, cadmium and arsenic in rice grains and their genetic dissection by genome-wide association study. Wang W.,Zhang F.,Liu D.,Chen K.,Du B.,Qiu X.,Xu J.,Xing D.. 2022

[6]Quantitative trait loci for the number of vertebrae on Sus scrofa chromosomes 1 and 7 independently influence the numbers of thoracic and lumbar vertebrae in pigs. Zhang Long-chao,Liu Xin,Liang Jing,Yan Hua,Zhao Ke-bin,Li Na,Pu Lei,Shi Hui-bi,Zhang Yue-bo,Wang Li-gang,Wang Li-xian. 2015

[7]Genome-wide association study of blast resistance in indica rice. Caihong Wang , Yaolong Yang , Xiaoping Yuan , Qun Xu , Yue Feng , Hanyong Yu , Yiping Wang , Xinghua Wei *. 2014

[8]Linkage mapping combined with GWAS revealed the genetic structural relationship and candidate genes of maize flowering time-related traits. Jian Shi,Yunhe Wang,Chuanhong Wang,Lei Wang,Wei Zeng,Guomin Han,Chunhong Qiu,Tengyue Wang,Zhen Tao,Kaiji Wang,Shijie Huang,Shuaishuai Yu,Wanyi Wang,Hongyi Chen,Chen Chen,Chen He,Hui Wang,Peiling Zhu,Yuanyuan Hu,Xin Zhang,Chuanxiao Xie. 2022

[9]Genome-Wide Association Study Reveals That PvGUX1_1 Is Associated with Pod Stringlessness in Snap Bean (Phaseolus vulgaris L.). Liu, Zhiyuan,Gao, Shuo,Zhang, Helong,Xu, Zhaosheng,Qian, Wei. 2022

[10]Genome-Wide Association Studies Reveal Candidate Genes Related to Stem Diameter in Cucumber (Cucumis sativus L.). Yingying Yang,Shaoyun Dong,Han Miao,Xiaoping Liu,Zhuonan Dai,Xiangsheng Li,Xingfang Gu,Shengping Zhang. 2022

[11]A significant quantitative trait locus on chromosome Z and its impact on egg production traits in seven maternal lines of meat-type chicken. Jiqiang Ding,Fan Ying,Qinghe Li,Gaomeng Zhang,Jin Zhang,Ranran Liu,Maiqing Zheng,Jie Wen,Guiping Zhao. 2022

[12]Integration of GWAS, linkage analysis and transcriptome analysis to reveal the genetic basis of flowering time-related traits in maize. Xun Wu,Ying Liu,Xuefeng Lu,Liang Tu,Yuan Gao,Dong Wang,Shuang Guo,Yifei Xiao,Pingfang Xiao,Xiangyang Guo,Angui Wang,Pengfei Liu,Yunfang Zhu,Lin Chen,Zehui Chen. 2023

[13]Loci and Natural Alleles for Low-Nitrogen-Induced Growth Response Revealed by the Genome-Wide Association Study Analysis in Rice (Oryza sativa L.). Yang Lv,Jie Ma,Yueying Wang,Quan Wang,Xueli Lu,Haitao Hu,Qian Qian,Longbiao Guo,Lianguang Shang. 2021

[14]Identification and Expression Analysis of CCCH Zinc Finger Family Genes in Oryza sativa. Wang, Zhihan,Li, Shunyuan,Wu, Hongkai,Huang, Linzhou,Fu, Liangbo,Zhan, Chengfang,Lu, Xueli,Yang, Long,Dai, Liping,Zeng, Dali. 2025

[15]Identification of Advantaged Genes for Low-Nitrogen-Tolerance-Related Traits in Rice Using a Genome-Wide Association Study. Zhiyuan Zhang,Laiyuan Zhai,Yuzhuo Liu,Lin Tian,Shuangbing Zhu,Congcong Shen,Juqing Jia,Kai Chen,Jianlong Xu. 2025

[16]水稻淡褐斑叶突变体lbsll的遗传分析与基因定位. 奉保华,杨杨,施勇烽,林璐,陈洁,黄奇娜,魏彦林,HeiLEUNG,吴建利. 2012

[17]OsBTF3转基因水稻对病原茵侵染的反应和防卫基因的表达分析. 陈华民,吴茂森,何晨阳. 2012

[18]Integrating linkage mapping and comparative transcriptome analysis for discovering candidate genes associated with salt tolerance in rice. Geng L.,Zhang W.,Zou T.,Du Q.,Ma X.,Cui D.,Han B.,Zhang Q.,Han L.. 2023

[19]Rapid Identification of QTL for Mesocotyl Length in Rice Through Combining QTL-seq and Genome-Wide Association Analysis. Yamei Wang,Jindong Liu,Yun Meng,Hongyan Liu,Chang Liu,Guoyou Ye. 2021

[20]Genetic Bases of Flow-and Sink-Related Traits in Rice Revealed by Genome-Wide Association Study. Laiyuan Zhai,Yun Wang,An Yan,Liqiang Chen,Kuitian Shao,Wenzhong Zhang,Jianlong Xu. 2022

作者其他论文 更多>>