摘要
以100份玉米自交系为材料,通过对2019-2020年山西榆次和太谷两地百粒重数据的测定,计算最佳线性无偏差预测值,结合均匀分布于玉米基因组的44935个SNP标记,基于GLM模型和FarmCPU模型对百粒重进行全基因组关联分析(Genome-wide association study,GWAS)。关联分析结果表明,共鉴定到25个与百粒重显著关联的SNP(P<2.324e^(-5)),其中,关联位点1_274302441、1_298518163和9_32699254位于已定位粒重QTL(Quantitative trait loci)的bin内。在显著SNP位点的连锁不平衡范围内共挖掘出28个候选基因,其中,GRMZM2G116640(乙酰氨基葡萄糖转移酶)、GRMZM2G048733(ABA受体蛋白)、GRMZM2G106424(14-3-3类蛋白)和GRMZM2G024104(谷氨酰胺合成酶)等是重要的百粒重候选基因。
In this study,100 maize inbred lines were used as materials,and the best linear unbiased predicted value was calculated by measuring the 100-kernel weight data of Yuci and Taigu in Shanxi from 2019 to 2020.Ge⁃nome-wide association study(GWAS)based on GLM model and FarmCPU model for 100-kernel weight.The results of association analysis showed that a total of 25 SNPs(P<2.324e^(-5))significantly associated with 100-grain weight were identified,among which the association loci 1_274302441,1_298518163 and 9_32699254 were located in the bin of the mapped grain weight QTL(Quantitative trait loci).A total of 28 candidate genes were mined within the linkage disequilibrium of significant SNP sites,among which GRMZM2G116640(acetylglucosamine transferase),GRMZM2G048733(ABA receptor protein),GRMZM2G106424(14-3-3 class protein)and GRMZM2G024104(Gluta⁃mine synthetase)are important 100-kernel weight candidate genes.
作者
张坤
张正
张伟
董春林
常建忠
ZHANG Kun;ZHANG Zheng;ZHANG Wei;DONG Chun-lin;CHANG Jian-zhong(Shanxi Institute of Organic Dryland Farming,Shanxi Key Laboratory of Organic Dryland Farming,Shanxi Agricultural University,Taiyuan 030031,China)
出处
《玉米科学》
CAS
CSCD
北大核心
2024年第1期39-47,共9页
Journal of Maize Sciences
基金
山西省重点研发计划项目(201903D21078)
山西省现代农业产业技术体系建设专项资金资助项目
山西农业大学生物育种工程项目(YZGC146)
宁夏回族自治区重点研发计划项目(2021BBF02035)
山西农业大学省部共建有机旱作农业国家重点实验室自主研发项目(202105D121008-2-7)。
关键词
玉米
百粒重
全基因组关联分析
候选基因挖掘
Maize
100-kernel weight
Genome wide association study
Candidate gene mining
