Development of G: a test in an amphibious fish.
Development of G: a test in an amphibious fish.
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G 的开发：两栖鱼的测试。
DOI：
10.1038/s41437-018-0152-4
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发表时间：
2019
期刊：
影响因子：
3.8
通讯作者：
Styga JM
中科院分区：
文献类型：
--
作者：
Styga JM
性状的遗传变异和遗传相关性决定了多变量表型对自然选择的反应。然而，随着性状的发展超过个体发育，G矩阵捕获的遗传(共)变异和整合的模式也可能改变。尽管如此，很少有研究调查支持多变量表型的遗传参数在动物经历主要生活史阶段时如何变化。在这里，我们使用了一种自交受精的两性鱼类--红树林金鱼，检验了从孵化到生殖成熟过程中的变化这一假设。我们还通过询问表型模式是否为个体发育阶段内和跨个体发育阶段的遗传(共同)变异模式提供了可接受的替代来检验切弗鲁德的猜想。对于一组与运动(跳跃)表现相关的形态性状，我们发现遗传整合的总体水平(通过所有性状的均方相关来衡量)在个体发育过程中没有显著变化。然而，我们也发现了一些特定性状的遗传变异和成对遗传相关性确实会改变的证据。个体发育变化表明发育过程本身存在遗传差异，同时也表明对形态进化的任何遗传约束可能是年龄相关的。在个体发育的每个阶段，表型相关性与遗传相关性非常相似。因此，我们的结果与这样一个前提是一致的，即至少在普通环境条件下，表型相关性可以很好地替代多变量发育进化研究中的遗传相关性。
Heritable variation in, and genetic correlations among, traits determine the response of multivariate phenotypes to natural selection. However, as traits develop over ontogeny, patterns of genetic (co)variation and integration captured by theGmatrix may also change. Despite this, few studies have investigated how genetic parameters underpinning multivariate phenotypes change as animals pass through major life history stages. Here, using a self-fertilizing hermaphroditic fish species, mangrove rivulus (Kryptolebias marmoratus), we test the hypothesis thatGchanges from hatching through reproductive maturation. We also test Cheverud’s conjecture by asking whether phenotypic patterns provide an acceptable surrogate for patterns of genetic (co)variation within and across ontogenetic stages. For a set of morphological traits linked to locomotor (jumping) performance, we find that the overall level of genetic integration (as measured by the mean-squared correlation across all traits) does not change significantly over ontogeny. However, we also find evidence that some trait-specific genetic variances and pairwise genetic correlations do change. Ontogenetic changes inGindicate the presence of genetic variance for developmental processes themselves, while also suggesting that any genetic constraints on morphological evolution may be age-dependent. Phenotypic correlations closely resembled genetic correlations at each stage in ontogeny. Thus, our results are consistent with the premise that—at least under common environment conditions—phenotypic correlations can be a good substitute for genetic correlations in studies of multivariate developmental evolution.