中国农业科学

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最新录用:多环境下玉米保绿相关性状遗传位点的挖掘

常立国,何坤辉,刘建超   

  1. 西北农林科技大学农学院/农业农村部西北旱区玉米生物与遗传改良重点实验室/陕西省玉米工程技术研究中心,陕西杨凌 712100
  • 发布日期:2022-06-21

Mining of Genetic Locus of Maize Stay-green Related Traits Under Multi-environments

CHANG LiGuo, HE KunHui, LIU JianChao   

  1. College of Agronomy, Northwest A&F University/Key Laboratory of Biology and Genetic Improvement of Maize in Arid Area of Northwest Region, Ministry of Agriculture and Rural Affairs/ Maize Engineering Technology Research Centre of Shaanxi Province, Yangling 712100, Shaanxi
  • Online:2022-06-21

摘要: 【目的功能性保绿通常被认为是包括玉米在内的主要作物品种的理想性状。挖掘新的控制玉米保绿相关位点和候选基因,为玉米保绿遗传研究提供理论基础。【方法】以150份由许178K12组配的重组自交系(recombinant inbred linesRIL)群体为材料,通过Windows QTL Cartographer V2.5的复合区间作图法(composite interval mappingCIM)对3个保绿相关性状(保绿度(visual stay greenVSG)、吐丝期绿叶数(green leaf number at silking stageGLNS和成熟期绿叶数green leaf number at mature stageGLNM))进行QTL定位。同时,以139份自然材料组成的关联群体为材料,基于混合线性模型(mixed linear modelMLM),结合50 790个高质量SNP标记,对这3个性状进行全基因组关联分析(genome-wide association studyGWAS。【结果】基于CIM利用单环境下的表型值和最佳线性无偏估计值(best linear unbiased predictionBLUP)对GLNMGLNSVSG进行了定位,共检测到37QTL,分布在除第10染色体以外的其他染色体上,LOD范围为2.58—11.36,表型贡献率为4.34%—22.40%GLNMGLNSVSG性状分别检测到141211个位点。其中,4个遗传稳定的QTLqGLNS2-1qVSG1-1qVSG1-2qVSG7-1,在3个及以上不同单环境中同时被检测到。利用MLM对保绿相关性状进行全基因组关联分析,共检测到44个超过阈值线的显著SNP,根据SNP标记在B73参考基因组的物理位置,发现共有15个位点落在连锁分析定位到的QTL区间内。【结论】通过QTL定位和全基因组关联分析共检测到4个遗传稳定的共定位遗传区段(对应的B73参考基因组V4版物理位置区间为第1染色体6.2—8.2 Mb、2染色体209.1—221.4 Mb、6染色体96.8—102.1 Mb、7染色体4.9—11.4 Mb,并掘到4个与光合作用和抗逆相关的候选基因Zm00001d006119Zm00001d018975Zm00001d006535Zm00001d036763


关键词: 玉米, 保绿性, 全基因组关联分析, QTL定位

Abstract: 【ObjectiveFunctional stay-green is generally considered a desirable trait in major crop varieties including maize. Finding new loci and candidate genes related to stay-green, and providing new theoretical basis for the genetic research on stay-green. MethodUsing 150 recombinant inbred lines(RIL)populations derived from the cross between Xu 178 and K12, QTL mapping of three stay-green related traits (visual stay green (VSG), green leaf number at silking stage (GLNS) and green leaf number at mature stage (GLNM) were performed by the composite interval mappingCIMmethod of Windows QTL Cartographer V2.5. Besides, an association population, which composed of 139 natural materials genotyped with 50790 high-quality SNP markers, was used to dissect genetic locus of three traits by genome-wide association study (GWAS) based on the mixed linear model MIM). ResultBased on CIM, three traits (GLNM, GLNS and VSG)were mapped using phenotypic values in a single environment and best linear unbiased prediction (BLUP) value. A total of 37 QTLs were detected on all chromosomes except Chr. 10, and the LOD score ranged from 2.58-11.36, with a phenotypic variation contribution rate of 4.34%-22.40%. Among them, 14, 12 and 11 loci were detected for GLNM, GLNS and VSG traits, respectively. Four of the QTLs, qGLNS2-1, qVSG1-1, qVSG1-2 and qVSG7-1, were genetically stable and were detected simultaneously in three or more different single environments. GWAS was performed on three stay-green related traits using MIM, and a total of 44 significant SNPs above the threshold line were detected. According to the physical position of SNP markers in the B73 reference genome, a total of 15 SNP were found to fall into the QTL interval mapped by linkage analysis.ConclusionCombined with the results of QTL mapping and genome-wide association study, a total of 4 genetically stable colocalization genetic regions were detected(the corresponding physical position intervals on the B73 reference genome Version 4 are 6.2-8.2 Mb on chromosome 1, 209.1-221.4 Mb on chromosome 2, 96.8-102.1 Mb on chromosome 6, and 4.9-11.4 Mb on chromosome 7) , and four important candidate genes (Zm00001d006119, Zm00001d018975, Zm00001d006535 and Zm00001d036763) related to photosynthesis and stress response were mined.


Key words: maize (Zea mays L.), stay-green, genome-wide association study, QTL mapping