A TEST OF THE CONJECTURE THAT G-MATRICES ARE MORE STABLE THAN B-MATRICES

A TEST OF THE CONJECTURE THAT G-MATRICES ARE MORE STABLE THAN B-MATRICES
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DOI:
10.1111/j.1558-5646.2010.01023.x
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发表时间:
2010-09-01
期刊:
影响因子:
3.3
通讯作者:
Arnold, Stevan J.
Arnold, Stevan J.
中科院分区:
环境科学与生态学2区
文献类型:
--
作者:
Barker, Brittany S.;Phillips, Patrick C.;Arnold, Stevan J.

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G矩阵在进化生物学中占有重要地位,既是数量性状遗传的总结,也是预测这些性状对选择和漂移的反应的成分。因此,G的稳定性对预测进化轨迹的准确性有重要影响。此外,G应根据适应环境的稳定特征及其随时间的轨迹而演变。虽然G的稳定性和进化可以从自然种群的选择知识中预测出来,但大多数G矩阵的经验比较都是在没有这样的先验预测的情况下进行的。我们提出了一个理论论证,即性别内的G-矩阵应该比性别间的B-矩阵更稳定,因为它们更容易受到多元稳定化选择的影响。我们通过比较三种吊袜蛇种群的B矩阵和性别内G矩阵的估计值来检验这一猜想。用Flury的分层方法进行的矩阵比较表明,性别内G-矩阵有四个共同的主成分(完整的CPC),而B-矩阵只有一个共同的主成分,特征值在不同群体中变化更大。这些结果表明,正如我们的理论论证所预测的那样,性别内G比B更稳定。
The G-matrix occupies an important position in evolutionary biology both as a summary of the inheritance of quantitative traits and as an ingredient in predicting how those traits will respond to selection and drift. Consequently, the stability of G has an important bearing on the accuracy of predicted evolutionary trajectories. Furthermore, G should evolve in response to stable features of the adaptive landscape and their trajectories through time. Although the stability and evolution of G might be predicted from knowledge of selection in natural populations, most empirical comparisons of G-matrices have been made in the absence of such a priori predictions. We present a theoretical argument that within-sex G-matrices should be more stable than between-sex B-matrices because they are more powerfully exposed to multivariate stabilizing selection. We tested this conjecture by comparing estimates of B- and within-sex G-matrices among three populations of the garter snake Thamnophis elegans. Matrix comparisons using Flury's hierarchical approach revealed that within-sex G-matrices had four principal components in common (full CPC), whereas B-matrices had only a single principal component in common and eigenvalues that were more variable among populations. These results suggest that within-sex G is more stable than B, as predicted by our theoretical argument.