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Molecular-Marker-Facilitated Investigations of Quantitative-Trait Loci in Maize. I. Numbers Genomic Distribution and Types of Gene Action

机译:玉米中数量性状位点的分子标记辅助研究。一基因作用的数量基因组分布和类型

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摘要

Individual genetic factors which underlie variation in quantitative traits of maize were investigated in each of two F2 populations by examining the mean trait expressions of genotypic classes at each of 17–20 segregating marker loci. It was demonstrated that the trait expression of marker locus classes could be interpreted in terms of genetic behavior at linked quantitative trait loci (QTLs). For each of 82 traits evaluated, QTLs were detected and located to genomic sites. The numbers of detected factors varied according to trait, with the average trait significantly influenced by almost two-thirds of the marked genomic sites. Most of the detected associations between marker loci and quantitative traits were highly significant, and could have been detected with fewer than the 1800–1900 plants evaluated in each population. The cumulative, simple effects of marker-linked regions of the genome explained between 8 and 40% of the phenotypic variation for a subset of 25 traits evaluated. Single marker loci accounted for between 0.3% and 16% of the phenotypic variation of traits. Individual plant heterozygosity, as measured by marker loci, was significantly associated with variation in many traits. The apparent types of gene action at the QTLs varied both among traits and between loci for given traits, although overdominance appeared frequently, especially for yield-related traits. The prevalence of apparent overdominance may reflect the effects of multiple QTLs within individual marker-linked regions, a situation which would tend to result in overestimation of dominance. Digenic epistasis did not appear to be important in determining the expression of the quantitative traits evaluated. Examination of the effects of marked regions on the expression of pairs of traits suggests that genomic regions vary in the direction and magnitudes of their effects on trait correlations, perhaps providing a means of selecting to dissociate some correlated traits. Marker-facilitated investigations appear to provide a powerful means of examining aspects of the genetic control of quantitative traits. Modifications of the methods employed herein will allow examination of the stability of individual gene effects in varying genetic backgrounds and environments.
机译:在两个F2群体中,通过检查17-20个分离标记位点的基因型类别的平均性状表达,调查了构成玉米数量性状变异的个体遗传因素。结果表明,标记基因座类别的性状表达可以用连锁定量性状基因座(QTL)的遗传行为来解释。对于评估的82个性状中的每一个,均检测到QTL,并将其定位于基因组位点。检测到的因子的数量根据性状而变化,平均性状显着受近三分之二的标记基因组位点的影响。在标记基因座和定量性状之间检测到的大多数关联都是高度显着的,而且在每个种群中评估的植物少于1800-1900种。对于评估的25个性状的子集而言,基因组中标记物连接区域的累积,简单效应可解释表型变异的8%至40%。单标记位点占性状表型变异的0.3%至16%。通过标记基因座测量的单个植物杂合性与许多性状的变异显着相关。对于给定的性状,QTL的基因作用的表观类型在性状之间和基因座之间都不同,尽管通常会出现过度优势,尤其是与产量相关的性状。表观优势的普遍性可能反映了单个标记连锁区域内多个QTL的影响,这种情况往往会导致对优势的高估。在确定所评估的数量性状的表达中,双基因上位似乎并不重要。对标记区域对性状对表达的影响的研究表明,基因组区域在其对性状相关性影响的方向和大小上各不相同,这也许提供了选择解离一些相关性状的方法。标记辅助的研究似乎提供了检查数量性状遗传控制方面的有力手段。本文采用的方法的修改将允许检查在变化的遗传背景和环境中单个基因效应的稳定性。

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