人工合成小麦农艺性状与SSR标记的关联分析（英文）  

Association Analysis of Agronomic Traits with SSR Markers in Synthetic Hexaploid Wheat(Triticum aestivum)

作　　者：张思妮 王震 赵丹阳[1] 夏雪娇 翟晓光 张拓 杨二航 丁勤[3] 马翎健[1] ZHANG Si-Ni1 WANG Zhen2 ZHAO Dan-Yang1 XIA Xue-Jiao1 ZHAI Xiao-Guang1 ZHANG Tuo1 YANG Er-Hang1 DING Qin3 MA Ling-Jian1(1 College of Agronomy, Northwest A＆F University, Yangling 712100, China; 2 Academy of Nanyang Agricultural Sciences, Nanyang 450000, China; 3 College of Horticulture, Northwest A＆F University, Yangling 712100, Chin)

机构地区：[1]西北农林科技大学农学院,杨凌712100 [2]南阳农业科学院,南阳450000 [3]西北农林科技大学园艺学院,杨凌712100

出　　处：《农业生物技术学报》2018年第4期564-575,共12页Journal of Agricultural Biotechnology

基　　金：农业部引进国际先进农业科学技术计划(948计划)项目(No.2015-Z39和No.2016-X58);陕西省统筹创新工程项目(No.2016KTCQ02-02)

摘　　要：人工合成小麦是通过人工融合粗山羊草(Aegilops tauschii)(2n=2x=14,DD)的D基因组与普通硬粒小麦(Triticum aestivum)(2n=6x=42,AABBDD)的A、B基因组获得的一种新型六倍体小麦,是获得基因变异的有效工具。本研究通过构建含有86份人工合成小麦和24份常规小麦的自然群体,利用102对SSR标记与4个重要的农艺性状进行关联分析。共检测出660个等位变异,每个位点的等位变异数为3~11个,平均为4.6个。多态性信息量(PIC)范围为0.2477~0.8971,平均为0.7235。供试材料被划分为三个亚群。2015年和2016年分别发现20个、17个与4个性状相关的位点(P<0.01)。2015年,解释率为0.0398~0.2472,2016年则为0.063 9~0.191 3。这些显著性标记丰富了小麦的遗传多样性,为小麦分子标记辅助育种提供了新的资源。Synthetic hexaploid wheat（SHW） is known to be an excellent vehicle for transferring genetic variations especially many traits present in the D genome of Aegilops tauschii Cosson accessions（2 n=2 x=14,DD） to cultivated wheat（Triticum aestivum）（2 n=6 x=42, AABBDD） for improving its quality. The objective of this study was to identify 102 simple sequence repeat（SSR） markers associated with 4 important agronomic traits（plant height（PH）, top internode length（TIL）, spike number per plant（SNPP） and spike length（SL）） in a natural population（86 SHWs and 42 common wheats）. A total of 660 alleles were identified; the number of alleles per locus varied from 3 to 11 with an average of 4.6. The polymorphism information content（PIC）value ranged from 0.247 7 to 0.897 1 with an average of 0.723 5. The maximum and minimum values of PIC values were WMS174 and GWM601, respectively. BARC241, GWM498 a, GWM495, GWM359 b,GWM273 a and GWM508 had relative larger PIC values. The tested materials consisted of three subpopulations by the population structure analysis and cluster analysis, the two results were basically the same. There were slight differences, these may have been due to their complex genetic backgrounds.Additionally, the result of cluster analysis using unweighted pair-group with arithmetic mean（UPGMA） was in accordance with the model based analysis, except for V023 and V072; these were observed to cluster in another subgroup. However, there was a clear distinction between SHWs and common wheats, indicating that the genetic background of most SHW varieties varies greatly compared to common wheat varieties.Association analysis between traits and simple sequence repeat（SSR） markers was performed using the generalized linear model（GLM） approach. 20 and 17 loci were found to be associated with the abovementioned traits in 2015 and 2016, respectively（P〈0.01）. In 2015, 10 loci were found to be associated with more than one trait. WMC702 was associated with both SNPP

关 键 词：人工合成六倍体小麦 SSR标记 遗传多样性 关联分析 

分 类 号：S336[农业科学—作物遗传育种]