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From micro- to macroevolution through quantitative genetic variation: Positive evidence from field crickets

机译:从微观进化到宏观进化,再到定量遗传变异:田field的积极证据

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Quantitative genetics has been introduced to evolutionary biologists with the suggestion that microevolution could be directly linked to macroevolutionary patterns using, among other parameters, the additive genetic variance/ covariance matrix (G) which is a statistical representation of genetic constraints to evolution. However, little is known concerning the rate and pattern of evolution of G in nature, and it is uncertain whether the constraining effect of G is important over evolutionary time scales. To address these issues, seven species of field crickets from the genera Gryllus and Teleogryllus were reared in the laboratory, and quantitative genetic parameters for morphological traits were estimated from each of them using a nested full-sibling family design. We used three statistical approaches (T method, Flury hierarchy, and Mantel test) to compare G matrices or genetic correlation matrices in a phylogenetic framework. Results showed that G matrices were generally similar across species, with occasional differences between some species. We suggest that G has evolved at a low rate, a conclusion strengthened by the consideration that part of the observed across-species variation in G can be explained by the effect of a genotype by environment interaction. The observed pattern of G matrix variation between species could not be predicted by either morphological trait values or phylogeny. The constraint hypothesis was tested by comparing the multivariate orientation of the reconstructed ancestral G matrix to the orientation of the across-species divergence matrix (D matrix, based on mean trait values). The D matrix mainly revealed divergence in size and, to a much smaller extent, in a shape component related to the ovipositor length. This pattern of species divergence was found to be predictable from the ancestral G matrix in agreement with the expectation of the constraint hypothesis. Overall, these results suggest that the G matrix seems to have an influence on species divergence, and that macroevolution can be predicted, at least qualitatively, from quantitative genetic theory. Alternative explanations are discussed.
机译:定量遗传学已被引入进化生物学家,并提出微进化可以使用除其他参数外的附加遗传方差/协方差矩阵(G)直接与宏观进化模式联系起来,该矩阵是对进化的遗传约束的统计表示。但是,关于G在自然界中的进化速度和模式的知之甚少,并且不确定G的约束作用在进化时间尺度上是否重要。为了解决这些问题,在实验室饲养了七种G属和Teleogryllus的field,并使用嵌套的全兄弟家庭设计从它们的每个形态特征的定量遗传参数中进行了估计。我们使用三种统计方法(T方法,Flury层次结构和Mantel检验)在系统发育框架中比较G矩阵或遗传相关矩阵。结果表明,G矩阵在物种之间通常相似,某些物种之间有时会有所不同。我们认为G的进化速率很低,这是因为考虑到G的部分跨物种变异可以通过环境相互作用的基因型效应来解释而得到加强。物种之间G矩阵变化的观察模式不能通过形态特征值或系统发育来预测。通过将重构的祖先G矩阵的多元方向与跨物种散度矩阵(D矩阵,基于平均特征值)的方向进行比较,测试了约束假设。 D矩阵主要显示出大小上的差异,并且在较小的程度上显示出与产卵器长度有关的形状分量。从祖先的G矩阵中可以发现,与约束假设的期望相一致,这种物种差异的模式是可以预测的。总体而言,这些结果表明,G矩阵似乎对物种差异有影响,并且可以从定量遗传理论至少定性地预测宏观进化。讨论了其他解释。

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