新疆陆地棉经济性状优异等位基因位点的遗传解析  

Genetic Dissection of Allelic Loci Associated with Economic Traits of Upland Cottons in Xinjiang

作　　者：雷杰杰 邵盘霞 郭春平 张大伟[4] 唐秉晖 努日曼古丽·艾尼 彭亚娟 崔天宇 张奥深 林海荣[1] 林忠旭 尤春源[2] 聂新辉 Lei Jiejie;Shao Panxia;Guo Chunping;Zhang Dawei;Tang Binghui;Nurimanguli Aini;Peng Yajuan;Cui Tianyu;Zhang Aoshen;Lin Hairong;Lin Zhongxu;You Chunyuan;Nie Xinhui(Agricultural College of Shihezi University/Key Laboratory of Oasis Ecology,Shihezi,Xinjiang 832003,China;Cotton Research Institute,Shihezi Academy of Agricultural Sciences,Shihezi,Xinjiang 832000,China;National Key Laboratory of Crop Genetic Improvement/College of Plant Science and Technology,Huazhong Agricultural University,Wuhan 430070,China;Institute of Economic Crops,Xinjiang Academy of Agricultural Sciences,Urumqi 830091,China)

机构地区：[1]石河子大学农学院/绿洲生态重点实验室,新疆石河子832003 [2]石河子农业科学研究院棉花所,新疆石河子832000 [3]华中农业大学植物科学技术学院/作物遗传改良国家重点实验室,武汉430070 [4]新疆农业科学院经济作物研究所,乌鲁木齐830091

出　　处：《棉花学报》2020年第3期185-198,共14页Cotton Science

基　　金：国家自然科学基金(31760402);石河子大学新品种培育专项(YZZX201701);石河子大学高层次人才科研启动项目(RCSX201725)。

摘　　要：【目的】基于SSR(Simple sequence repeat,简单序列)标记展开对陆地棉经济性状的关联分析,挖掘优异等位变异位点,解析新疆陆地棉经济性状的遗传基础,为新疆陆地棉的遗传机理研究和高效的陆地棉分子设计育种提供理论依据。【方法】利用筛选出覆盖棉花全基因组的73对SSR标记对新疆156份陆地棉品种进行多态性扫描;采用R语言绘制boxplot图,利用TASSEL软件进行关联分析,挖掘与产量、纤维品质性状相关联的优异等位变异位点。【结果】通过对6个环境下新疆陆地棉品种的产量、品质相关性状进行关联分析,获得与产量性状相关的等位变异位点10个,表型变异解释率为6.69%~9.88%,平均值为8.43%;与纤维品质性状相关的等位变异位点23个,表型变异解释率为3.73%~13.22%,平均值为7.52%。其中22个QTL(Quantitative trait locus)已被报道,有10个QTL的关联性状与前人研究一致。【结论】新疆陆地棉品种的群体遗传结构简单,连锁不平衡水平低,6个环境条件下表型性状变化趋势较稳定。基于SSR的关联分析,发掘了与产量和纤维品质相关的优异等位变异基因及聚合优异等位基因位点的典型材料。[Objective]We completed anassociation analysis of economic traits for upland cotton using simple sequence repeat(SSR)markers.We then explored the allelic variation sites to analyze the genetic basis of economically important traits,studied the genetic mechanism of Xinjiang upland cotton,and aimed to accelerate efficient breeding of upland cotton.[Method]We carried out polymorphic scanning on 156 upland cotton varieties in Xinjiang by screening 73 pairs of SSR markers encompassing the whole cotton genome.We constructed boxplot maps using R statistical computing software and graphics language and used TASSEL software to correlate yield or fiber quality traits with significant allelic variation loci.[Results]We obtained 10 allelic variation loci related to yield traits using the correlation analysis of Xinjiang upland cotton varieties from six different environments.The interpretation rate of phenotypic variation ranged from 6.69%to 9.88%with an average of 8.43%.Twenty-three allelic variation loci associated with fiber quality traits and phenotypic variation interpretation rates ranged from3.73%to 13.22%with an average of 7.52%.The 22 detected quantitative trait loci were reported in previous studies and 10 showed the same associated traits as previously reported.[Conclusion]The population genetic structure of Xinjiang upland cotton varieties is simple,the linkage disequilibrium level is low,and the phenotypic traits show a stable trend under six environments.Using association analysis,we discovered unique allelic variation genes related to yield and fiber quality and diverse allele loci.

关 键 词：陆地棉 新疆 产量性状 纤维品质 关联分析 

分 类 号：S562[农业科学—作物学]