玉米叶部性状的QTL定位与候选基因分析  

QTL mapping and candidate gene analysis of leaf related traits in maize

作　　者：郭爽 聂蕾 何玥 王栋 涂亮 刘鹏飞 蒋喻林 郭向阳[2] 王安贵[2] 祝云芳[2] 吴迅 陈泽辉[2] GUO Shuang;NIE Lei;HE Yue;WANG Dong;TU Liang;LIU Pengfei;JIANG Yulin;GUO Xiangyang;WANG Angui;ZHU Yunfang;WU Xun;CHEN Zehui(Agricultural College of Guizhou University,Guiyang 550025,China;Institute of Upland Food Crops,Guizhou Academy of Agricultural Sciences,Guiyang 550006,China;Key Laboratory of Crop Genetic Resources and Germplasm Innovation in Karst Region,Ministry of Agriculture and Rural Affairs,Guiyang 550006,China)

机构地区：[1]贵州大学农学院,贵州贵阳550025 [2]贵州省农业科学院旱粮研究所,贵州贵阳550006 [3]农业农村部喀斯特山区作物基因资源与种质创新重点实验室,贵州贵阳550006

出　　处：《江苏农业学报》2024年第10期1777-1786,共10页Jiangsu Journal of Agricultural Sciences

基　　金：国家自然科学基金项目(32060460、32160451);贵州省科技支撑计划项目[黔科合支撑(2022)重点029];贵州省山地农业关键核心技术攻关项目(GZNYGJHX-2023012);贵州省育种科研基础平台创新能力建设项目[黔科合服企(2022)014];黔农科院国基后补助项目[(2021)16号、(2022)02号、(2022)09号];贵州喀斯特山区重要作物生物育种平台建设项目[黔科合中引地(2023)033];贵州省育种科研基础平台创新能力建设项目[黔科合服企[(2022)014];贵州省科研机构创新能力建设项目[(2022)007]。

摘　　要：叶片在玉米生长过程中发挥着重要作用,它能够有效地进行光合作用,为玉米提供营养物质,通过影响耐密性等影响产量提升。本研究选用QR273和T32为亲本,构建150份F2、F2∶3家系材料,结合基因型和不同环境中叶部性状的表型评价数据,利用完备区间作图法进行数量性状座位(QTL)定位。结果发现,2个环境下共检测到85个叶部性状相关QTL,其中有12个全株叶片数相关QTL、14个穗上叶片数相关QTL、22个叶长相关QTL、17个叶宽相关QTL、20个叶夹角相关QTL。结合公共数据库和生物信息学分析方法共筛选出7个候选基因。其中Zm00001d013612编码微管蛋白,参与调控细胞骨架结构组成;Zm00001d053543参与油菜素甾醇介导的信号通路;Zm00001d031291编码的蛋白质具有组蛋白乙酰化功能;Zm00001d031292参与富含羟脯氨酸糖蛋白家族基因表达的调控;Zm00001d031296调控钾离子跨膜转运蛋白活性;Zm00001d031300、Zm00001d031303参与碳水化合物代谢过程。蛋白质功能分析结果表明,这7个候选基因均参与细胞分化,与植物的生长发育息息相关。本研究结果将为深度揭示玉米叶部性状变异的遗传基础提供更丰富的理论支持。Leaf plays an important role in the growth process of maize,and can effectively carry out photosynthesis,provide nutrients for maize,as well as affect yield increase by affecting density tolerance.In this paper,150 F 2 and F 2∶3 family materials were constructed,using QR273 and T32 as the parents.Based on the genotype data and the phenotypic evaluation data of leaf related traits under different environments,quantitative trait locus(QTL)mapping was carried out by using inclusive composite interval mapping method.The results showed that,a total of 85 QTLs for leaf related traits were detected under two environments,including 12 QTLs relevant to total leaf number,14 QTLs relevant to leaf number above the ear,22 QTLs relevant to leaf length,17 QTLs relevant to leaf width,and 20 QTLs relevant to leaf angle.Combined with the public database and bioinformatics analysis methods,seven candidate genes controlling leaf related traits were screened.Wherein Zm00001d013612 encoded tubulin and participated in the regulation of cytoskeleton structure composition,Zm00001d053543 involved in the brassinosteroid-mediated signaling pathway,and Zm00001d031291 encoded protein had the function of histone acetylation,Zm00001d031292 involved in the regulation of genes encoding hydroxyproline-rich glycoprotein family.Zm00001d031296 regulated the activity of potassium ion transmembrane transporter.Zm00001d031300 and Zm00001d031303 involved in carbohydrate metabolism.Functional analysis of proteins showed that,the seven candidate genes all involved in cell differentiation,which were closely related with plant growth and development.These results can provide relatively more theoretical support for deeply revealing the genetic basis of maize leaf related trait variation.

关 键 词：玉米 叶部性状 数量性状座位(QTL) 候选基因 

分 类 号：S513[农业科学—作物学]