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首页> 外文期刊>Evolution: International Journal of Organic Evolution >THE EVOLUTION OF GENETIC CORRELATIONS - AN ANALYSIS OF PATTERNS [Review]
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THE EVOLUTION OF GENETIC CORRELATIONS - AN ANALYSIS OF PATTERNS [Review]

机译:遗传相关性的演变-模式分析[评论]

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摘要

The genetic correlation is a central parameter of quantitative genetics, providing a measure of the rate at which traits respond to indirect selection (i.e., selection that does not act upon the traits under study, but some other trait with which they have genes in common). In this paper, I review the pattern of variation among four combinations of traits: life history x life history (L x L), morphological x morphological (M x M), life history x morphological (L x M), and behavioral x behavioral (B x B). A few other combinations were investigated, but insufficient data were obtained for separate analysis. A total of 1798 correlations, distributed over 51 different animal and plant species, were analyzed. The analysis was conducted at two levels: first by dividing the data set solely by trait combination, and second by blocking the data by trait combination and species. Because selection will tend to fix alleles that show positive correlations with fitness traits faster than those that are negative and because the latter are expected to arise more frequently by mutation, correlations between life-history traits are predicted to be more often negative than those between morphological traits. This prediction was supported, with the ranking in decreasing proportion of negative correlations being: L x L > L x M > B x B > M x M. The mean magnitude of the genetic correlation shows little variation among morphological and life-history combinations, and the distribution of values is remarkably flat. However, the estimated standard errors and the coefficient of variation (SE/r(G)) are large, making it difficult to separate biological factors influencing the pattern of dispersion from experimental error. Analysis of the phenotypic and genetic correlations suggest that for the combinations M x M and L x M, but not L x L or B x B, the phenotypic correlation is an adequate estimate of the genetic correlation. [References: 102]
机译:遗传相关性是定量遗传学的核心参数,提供了性状对间接选择(即,不作用于所研究性状的选择,但不具有与它们共同的基因有关的其他性状)的反应速率的度量。 。在本文中,我回顾了四种特征组合的变异模式:生活史x生活史(L x L),形态学x形态学(M x M),生活史x形态学(L x M)和行为x行为(B x B)。研究了其他几种组合,但是没有足够的数据进行单独的分析。共分析了1798个相关性,这些相关性分布在51种不同的动植物物种上。该分析在两个级别上进行:首先是将数据集仅按性状组合划分,其次是按性状组合和物种对数据进行分组。因为选择会倾向于更快地修复那些与健身性状呈正相关的等位基因,而不是那些负性的等位基因,并且由于后者预期会通过突变而更加频繁地出现,因此生活史性状之间的相关性通常要比形态学之间的相关性更强特质。这项预测得到了支持,负相关性的降低比例排名为:L x L> L x M> B x B> M xM。遗传相关性的平均幅度显示出形态和生活史组合之间的差异很小,值的分布非常平坦。但是,估计的标准误差和变异系数(SE / r(G))大,难以将影响分散模式的生物学因素与实验误差区分开。对表型和遗传相关性的分析表明,对于组合M x M和L x M,而不是L x L或B x B,表型相关性是对遗传相关性的充分估计。 [参考:102]

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