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一个细分物种中生活史特征和分子标记的遗传结构模式

Patterns of genetic architecture for life-history traits and molecular markers in a subdivided species.

作者信息

Morgan K K, Hicks J, Spitze K, Latta L, Pfrender M E, Weaver C S, Ottone M, Lynch M

机构信息

Department of Biology, University of Oregon, Eugene 97403, USA.

出版信息

Evolution. 2001 Sep;55(9):1753-61. doi: 10.1111/j.0014-3820.2001.tb00825.x.

Abstract

Understanding the utility and limitations of molecular markers for predicting the evolutionary potential of natural populations is important for both evolutionary and conservation genetics. To address this issue, the distribution of genetic variation for quantitative traits and molecular markers is estimated within and among 14 permanent lake populations of Daphnia pulicaria representing two regional groups from Oregon. Estimates of population subdivision for molecular and quantitative traits are concordant, with QST generally exceeding GST. There is no evidence that microsatellites loci are less informative about subdivision for quantitative traits than are allozyme loci. Character-specific comparison of QST and GST support divergent selection pressures among populations for the majority of life-history traits in both coast and mountain regions. The level of within-population variation for molecular markers is uninformative as to the genetic variation maintained for quantitative traits. In D. pulicaria, regional differences in the frequency of sex may contribute to variation in the maintenance of expressed within-population quantitative-genetic variation without substantially impacting diversity at the genic level. These data are compared to an identical dataset for 17 populations of the temporary-pond species, D. pulex.

摘要

了解分子标记在预测自然种群进化潜力方面的效用和局限性,对进化遗传学和保护遗传学都很重要。为解决这一问题,我们估计了代表俄勒冈州两个区域组的14个永久湖泊种群内和种群间的数量性状和分子标记的遗传变异分布。分子和数量性状的种群细分估计结果一致,QST通常超过GST。没有证据表明微卫星位点在数量性状细分方面的信息量比等位酶位点少。QST和GST的性状特异性比较支持了沿海和山区大多数生活史性状在种群间存在不同的选择压力。分子标记的种群内变异水平对于维持数量性状的遗传变异并无信息价值。在蚤状溞中,性别频率的区域差异可能导致种群内表达的数量遗传变异维持的差异,而不会对基因水平的多样性产生实质性影响。这些数据与17个临时池塘物种——大型溞种群的相同数据集进行了比较。

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