Detection of deleterious genotypes in multigenerational studies. III. Estimation of selection components in highly selfing populations.
Detection of deleterious genotypes in multigenerational studies. III. Estimation of selection components in highly selfing populations.
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多代研究中有害基因型的检测。
DOI：
10.1017/s0016672303006311
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发表时间：
2003
期刊：
影响因子：
--
通讯作者：
Asmussen,MarjorieA
中科院分区：
文献类型：
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作者：
Liu,Renyi;Ferrenberg,AlanM;Gilliland,LauraU;Meagher,RichardB;Asmussen,MarjorieA
遗传学的新范式增加了发现看似多余的基因的机会，但事实上，由于每一代都有少量的正选择潜力，这些基因可能被保留下来。监测内和世代之间的基因型频率的变化，允许解剖的生育力，生存能力和减数分裂驱动选择组件上这样的基因在自然和实验种群。在这里，一个正式的最大似然程序的开发，以确定和估计这些选择组件在高度自交群体的基因型频率的时间依赖性的解决方案，以观察到的多代计数。单独使用成人普查，我们不能同时估计所有三个选择分量。在这种情况下，我们反而考虑一个层次的11个模型，要么选择组件较少，完全显性，或乘法减数分裂驱动与一个单一的参数。我们确定这些模型的最佳拟合的似然比检验嵌套模型和赤池的信息准则（AIC）和贝叶斯信息准则（BIC）的非嵌套模型。在种子普查中，生育力和生存力选择是不可区分的，因此只能联合估计。联合种子和成人人口普查数据的组合，使我们能够同时估计所有三个选择组件。模拟数据验证了估计过程，并提供了一些实际的指导实验设计。拟南芥数据的应用程序建立，活力选择是主要的选择力作用于ACT 2肌动蛋白基因在实验室生长的拟南芥种群。
New paradigms in genetics have increased the chance of finding genes that appear redundant but in fact may have been preserved due to a small level of positive selection potential acting during each generation. Monitoring changes in genotypic frequencies within and between generations allows the dissection of the fertility, viability and meiotic drive selection components acting on such genes in natural and experimental populations. Here, a formal maximum likelihood procedure is developed to identify and estimate these selection components in highly selfing populations by fitting the time-dependent solutions for genotypic frequencies to observed multigenerational counts. With adult census alone, we can not simultaneously estimate all three selection components considered. In such cases, we instead consider a hierarchy of 11 models with either fewer selection components, complete dominance, or multiplicative meiotic drive with a single parameter. We identify the best-fitting of these models by applying likelihood ratio tests to nested models and Akaike's Information Criterion (AIC) and the Bayesian Information Criterion (BIC) to non-nested models. With seed census, fertility and viability selection are not distinguishable and thus can only be estimated jointly. A combination of joint seed and adult census data allows us to estimate all three selection components simultaneously. Simulated data validate the estimation procedure and provide some practical guidelines for experimental design. An application to Arabidopsis data establishes that viability selection is the major selective force acting on the ACT2 actin gene in laboratory-grown Arabidopsis populations.