普通小麦产量相关农艺性状的全基因组关联分析OA
Genome-Wide Association Study on Agronomic Traits Related to Yield in Common Wheat
为解析小麦产量相关农艺性状遗传规律,对319份小麦材料进行16K SNP芯片检测,通过全基因组关联分析(GWAS)方法,对株高、穗长、每穗小穗数、千粒重、粒长、粒宽和粒长宽比共7个产量相关性状进行了 5个环境下的相关分析.结果表明,7个性状均表现出广泛的表型变异,变异系数为5.97%~15.77%,广义遗传力为82.42%~96.62%.在5个环境中,共检测到98个显著且稳定的SNP位点,表型变异解释率为2.9%~12.1%,其中 1D-325966494、2D-645942075、7D-166300030 共 3 个 SNP 位点表现出多效性.通过单倍型分析,获得2个显著降低株高的优异单倍型,它们分别位于2A和3A染色体特定区域.筛选到1个与株高相关的候选基因TraesCS2A02G457400,其功能尚未明确.
To analyze the genetic rules of agronomic traits related to wheat yield,in this study,319 wheat materials and 16K SNP array data were utilized.Through the method of genome-wide associa-tion study(GW AS),seven yield-related traits,namely plant height,spike length,number of spike-lets per spike,1 000-grain weight,grain length,grain width,and grain length-to-width ratio,were analyzed in five environments.The results showed that all the seven traits exhibited extensive pheno-typic variations,with the coefficient of variation ranging from 5.97%to 15.77%,and the broad-sense heritability ranging from 82.42%to 96.62%.The results of the genome-wide association analysis in-dicated that a total of 98 significant and stable SNP loci were detected in five environments,explaining 2.9%to 12.1%of the phenotypic variations.Among them,three SNP loci,namely 1D-325966494,2D-645942075,and 7D-166300030,showed pleiotropy.Through haplotype analysis,two excellent haplotypes that significantly reduced the plant height were obtained,which were located in specific re-gions of chromosomes 2A and 3A.One candidate gene TraesCS2A02G457400 related to plant height was identified,and its function has not been clarified yet.
宋科峰;孙道杰;邢远航;赵慧玲;张传量;李月月;宋鹏博;赵文莎;张傲琰;简俊涛
西北农林科技大学农学院,陕西杨凌 712100西北农林科技大学农学院,陕西杨凌 712100西北农林科技大学农学院,陕西杨凌 712100西北农林科技大学农学院,陕西杨凌 712100西北农林科技大学农学院,陕西杨凌 712100西北农林科技大学农学院,陕西杨凌 712100西北农林科技大学农学院,陕西杨凌 712100西北农林科技大学农学院,陕西杨凌 712100西北农林科技大学农学院,陕西杨凌 712100南阳市农科院,河南南阳 473000
农业科技
小麦全基因组关联分析产量性状SNP标记候选基因
WheatGenome-wide association studyYield traitsSNP markersCandidate genes
《麦类作物学报》 2026 (1)
32-43,12
国家重点研发计划项目(2016YFD0101802)
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