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小麦产量相关性状的全基因组关联分析
Genome-wide association analysis of wheat yield-related traits
投稿时间:2019-09-07  修订日期:2019-10-21
DOI:
中文关键词:  小麦  产量相关性状  关联分析  优异等位变异  SSR标记
英文关键词:Wheat  Yield related traits  Association analysis  Excellent allelic variation  SSR markers
基金项目:国家科技重大专项(2018ZX0800917B),山西省重点研发计划项目(201703D211007-4; 201703D211007-6),山西省农业科学院科技创新研究课题(YCX8412)
作者单位E-mail
张东 山西农业大学 农学院 1037942910@qq.com 
张政   
史雨刚   
王曙光   
曹亚萍   
范绍强   
杨斌   
孙黛珍 山西农业大学 农学院 sdz64@126.com 
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中文摘要:
      为挖掘小麦产量相关性状的优异等位变异,本研究利用筛选的106对多态性SSR标记扫描236份小麦种质资源组成的自然群体,并进行遗传多样性分析。结果显示:106对引物共检测到874个等位变异,平均8.24个,变化范围2-23个;主要等位变异频率(MAF)的变化范围0.177-0.987,平均0.545;多态性信息指数(PIC)的变化范围0.026-0.895,平均0.550。然后,采用混合线性模型(MLM),对4个环境的株高、穗长、主穗粒数、单株穗数和千粒重进行关联分析,共关联到20对SSR标记,26个显著关联(P<0.01)位点,表型解释率(R2)范围6.25%-18.97%,其中,标记Xgwm164(1A)在4个环境下均与株高显著关联;Xgwm55(6D)同时与株高和穗长两个性状显著关联;Xwmc415(5B)在2个环境下与单株穗数显著关联。通过对等位变异表型效应的解析筛选出各关联位点的优异等位变异,包括可以降低株高4.24cm的优异等位变异Xgwm164-1A118;可以增加穗长0.75cm的优异等位变异Xgwm429-2B207;可以增加单株穗数1.07个的优异等位变异Xwmc415-5B154;可以增加主穗粒数1.93粒的优异等位变异Xgwm232-1D138;可以增加千粒重0.92g的优异等位变异Xgwm610-4A170。研究结果为小麦产量相关性状的分子标记辅助选择育种提供了信息。
英文摘要:
      To explore the excellent allelic variation of wheat yield-related traits, in this study, a natural population consisting of 236 wheat germplasm resources was scanned by 106 pairs of polymorphic SSR markers and analyze its genetic diversity. The results showed that a total of 874 allelic variations were detected in 106 pairs of primers, with an average of 8.24, ranging from 2 to 23; the major allelic variation frequency (MAF) ranged from 0.177 to 0.987, with an average of 0.545; the polymorphism information content ( PIC) varies from 0.026 to 0.895 with an average of 0.550. The mixed linear model (MLM) was used to analyze the plant height(PH), spike length(PL), spikelet number per spike(SNPS), kernel number per spike(KNPS),and thousand kernel weight(TKW) of four environments, and correlated with 20 pairs of SSR markers and 26 significant associations (P<0.01). The phenotypic interpretation rate (R2) ranged from 6.25% to 18.97%, and the marker Xgwm164(1A) was significantly associated with plant height in all four environments;Xgwm55 (6D) was significantly associated with both plant height and spike length; Xwmc415 (5B) was significantly associated with spikelet number per spike in both environments. Through the analysis of the phenotypic effect of allelic variation, the excellent allelic variation of each related locus was screened, including excellent allelic variation Xgwm164-1A118 which can reduce plant height 4.24cm; Excellent allelic variation Xgwm429-2B207 can increase the length of the spike by 0.75cm; Excellent allelic variation Xwmc415-5B154 can increase the spikelet number per spike by 1.07; Excellent allelic variation Xgwm232-1D138 can increase the number of main spikes 1.93; Excellent allelic variation Xgwm610-4A170 can increase 1000-grain weight 0.92g. The results provide information for molecular marker-assisted selection breeding of wheat yield-related traits.
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