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斑叶沟酸浆中有害突变与雄性适合度组分的遗传方差

Deleterious mutations and the genetic variance of male fitness components in Mimulus guttatus.

作者信息

Kelly John K

机构信息

Department of Ecology and Evolutionary Biology, University of Kansas, Lawrence, Kansas 66045, USA.

出版信息

Genetics. 2003 Jul;164(3):1071-85. doi: 10.1093/genetics/164.3.1071.

Abstract

Deleterious mutations are relevant to a broad range of questions in genetics and evolutionary biology. I present an application of the "biometric method" for estimating mutational parameters for male fitness characters of the yellow monkeyflower, Mimulus guttatus. The biometric method rests on two critical assumptions. The first is that experimental inbreeding changes genotype frequencies without changing allele frequencies; i.e., there is no genetic purging during the experiment. I satisfy this condition by employing a breeding design in which the parents are randomly extracted, fully homozygous inbred lines. The second is that all genetic variation is attributable to deleterious mutations maintained in mutation-selection balance. I explicitly test this hypothesis using likelihood ratios. Of the three deleterious mutation models tested, the first two are rejected for all characters. The failure of these models is due to an excess of additive genetic variation relative to the expectation under mutation-selection balance. The third model is not rejected for either of two log-transformed male fitness traits. However, this model imposes only "weak conditions" and is not sufficiently detailed to provide estimates for mutational parameters. The implication is that, if biometric methods are going to yield useful parameter estimates, they will need to consider mutational models more complicated than those typically employed in experimental studies.

摘要

有害突变与遗传学和进化生物学中的一系列广泛问题相关。我展示了“生物统计学方法”在估计黄花猴面花(Mimulus guttatus)雄性适合度性状突变参数方面的应用。生物统计学方法基于两个关键假设。第一个假设是实验性近交改变基因型频率但不改变等位基因频率;也就是说,实验过程中不存在基因清除现象。我通过采用一种育种设计来满足这一条件,即亲本是随机抽取的、完全纯合的自交系。第二个假设是所有遗传变异都归因于在突变 - 选择平衡中维持的有害突变。我使用似然比明确检验了这一假设。在所测试的三种有害突变模型中,前两种模型对所有性状都被拒绝。这些模型的失败是由于相对于突变 - 选择平衡下的预期,加性遗传变异过多。对于两个经对数转换的雄性适合度性状,第三种模型都未被拒绝。然而,该模型仅施加了“弱条件”,且不够详细,无法提供突变参数的估计值。这意味着,如果生物统计学方法要得出有用的参数估计值,就需要考虑比实验研究中通常使用的模型更复杂的突变模型。

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