Ohta T, Dover G A
Genetics. 1984 Oct;108(2):501-21. doi: 10.1093/genetics/108.2.501.
The long-term population genetics of multigene families is influenced by several biased and unbiased mechanisms of nonreciprocal exchanges (gene conversion, unequal exchanges, transposition) between member genes, often distributed on several chromosomes. These mechanisms cause fluctuations in the copy number of variant genes in an individual and lead to a gradual replacement of an original family of n genes (A) in N number of individuals by a variant gene (a). The process for spreading a variant gene through a family and through a population is called molecular drive. Consideration of the known slow rates of nonreciprocal exchanges predicts that the population variance in the copy number of gene a per individual is small at any given generation during molecular drive. Genotypes at a given generation are expected only to range over a small section of all possible genotypes from one extreme (n number of A) to the other (n number of a). A theory is developed for estimating the size of the population variance by using the concept of identity coefficients. In particular, the variance in the course of spreading of a single mutant gene of a multigene family was investigated in detail, and the theory of identity coefficients at the state of steady decay of genetic variability proved to be useful. Monte Carlo simulations and numerical analysis based on realistic rates of exchange in families of known size reveal the correctness of the theoretical prediction and also assess the effect of bias in turnover. The population dynamics of molecular drive in gradually increasing the mean copy number of a variant gene without the generation of a large variance (population cohesion) is of significance regarding potential interactions between natural selection and molecular drive.
多基因家族的长期群体遗传学受到成员基因之间几种单向交换(基因转换、不等交换、转座)的偏向和非偏向机制的影响,这些成员基因通常分布在几条染色体上。这些机制导致个体中变异基因拷贝数的波动,并导致由一个变异基因(a)逐渐取代N个个体中原始的n基因家族(A)。变异基因在家族和群体中传播的过程称为分子驱动。考虑到已知的单向交换的缓慢速率,可以预测在分子驱动过程中的任何给定世代,每个个体中基因a拷贝数的群体方差都很小。预计给定世代的基因型仅在所有可能基因型的一小部分范围内变化,从一个极端(n个A)到另一个极端(n个a)。通过使用同系数的概念,开发了一种估计群体方差大小的理论。特别是,详细研究了多基因家族单个突变基因传播过程中的方差,并且证明了遗传变异性稳定衰减状态下的同系数理论是有用的。基于已知大小家族中实际交换率的蒙特卡罗模拟和数值分析揭示了理论预测的正确性,同时也评估了周转偏向的影响。分子驱动在逐渐增加变异基因平均拷贝数而不产生大的方差(群体凝聚力)方面的群体动态,对于自然选择和分子驱动之间的潜在相互作用具有重要意义。