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冬小麦RIL群体分蘖相关性状QTL定位OA

QTL Mapping and Candidate Gene Screening of Tillering-Related Traits in RIL Populations of Winter Wheat

中文摘要英文摘要

为进一步挖掘小麦分蘖相关性状的数量性状位点(QTL),探索分蘖性状之间的遗传关系,以分蘖性状差异较大的小麦品种Apache和新冬36号构建的255份重组自交系群体(RIL)为材料,分别测定其在4个环境下的冬前分蘖数、单株分蘖数、单株有效分蘖数、单位面积有效分蘖数、分蘖角度、成穗率表型值,并基于RIL群体的超低深度测序数据进行分蘖相关性状QTL定位.结果表明,除1D、2D、3B、4D、7A和7B染色体外,在其他15条染色体上共检测到53个分蘖性状相关的QTL,包括13个冬前分蘖数QTL、10个单株分蘖数QTL、8个单株有效分蘖数QTL、11个单位面积有效分蘖数QTL、4个分蘖角度QTL、2个成穗率QTL和5个一因多效的QTL,单个QTL的表型解释率为2.66%~28.76%.其中,QTn.xjau-4B在3个环境下均被检测到,对单株有效分蘖数表型贡献率为28.76%,为稳定主效QTL,同时也是R-E-Z位点,后续可作为研究分蘖及株型的重要位点.

In order to further explore the quantitative trait locus(QTL)for tillering-related traits in wheat,and to explore the genetic relationship between tillering traits,we used 255 recombinant in-bred lines(RIL)populations,constructed from Apache and Xindong 36,as research materials to de-termine several key metrics.These included the number of pre-winter tillers,the number of single tillers,the number of effective tillers,the effective tillers per unit area,and the tiller angle.The phe-notypic values of spike rate were determined in four environments.The QTL controlling tillering-re-lated traits was carried out based on the ultra-low depth sequencing data of the RIL populations.The results showed that a total of 53 QTLs for tillering traits were detected on 15 chromosomes,including 13 QTLs for pre-winter tiller number,10 QTLs for single-plant tiller number,8 QTLs for effective tiller number per plant,11 QTLs for effective tiller number per unit area,4 QTLs for tiller angle,2 QTLs for spike-forming rate,and 5 pleiotropism QTLs.The phenotypic interpretation rates of indi-vidual QTLs ranged from 2.66%to 28.76%.Among them,QTn.xjau-4B was detected in all three environments,with a phenotypic contribution rate of 28.76%to the effective number of tillers of a single plant.This stable QTL is a major effective and R-E-Z locus,which can be used as an important locus for the study of tillering and plant type.

郭小玲;俞天胜;汪永法;程宇坤;任毅;张晓玉;耿洪伟

新疆农业大学农学院/新疆农业大学优质专用麦类作物工程技术研究中心,新疆乌鲁木齐 830052||新疆农业科学院奇台麦类试验站,新疆奇台县 831800新疆农业科学院奇台麦类试验站,新疆奇台县 831800小麦玉米两熟高效生产全国重点实验室,北京市海淀区 100193新疆农业大学农学院/新疆农业大学优质专用麦类作物工程技术研究中心,新疆乌鲁木齐 830052新疆农业大学农学院/新疆农业大学优质专用麦类作物工程技术研究中心,新疆乌鲁木齐 830052小麦玉米两熟高效生产全国重点实验室,北京市海淀区 100193新疆农业大学农学院/新疆农业大学优质专用麦类作物工程技术研究中心,新疆乌鲁木齐 830052

农业科技

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