Ohta T
National Institute of Genetics, Mishima, Japan.
J Theor Biol. 1987 Jan 21;124(2):199-211. doi: 10.1016/s0022-5193(87)80262-x.
By taking into account recent knowledge of multigene families and other repetitive DNA sequences, a model of evolution by gene duplication for accumulating genetic information is studied. Genetic information is defined as the sum of distinct functions that the gene family can perform. A coefficient, "genetic diversity" is defined and used in this study, that is highly correlated with genetic information. Initially, a multigene family with a few gene copies is assumed, and natural selection starts to work on this gene family to increase genetic diversity contained in the gene family. As an important mechanism, unequal crossing-over is incorporated. Together with mutation, it is responsible for supplying genetic variability among individuals for selection to work. A specific model, in which individuals with less genetic diversity are selectively disadvantageous, has been studied in detail. Through approximate theoretical analysis and extensive Monte Carlo studies, it has been shown that the system is an extremely efficient way to accumulate genetic information. For attaining one gene, the genetic load is much smaller under this model than under the traditional model of natural selection. The model may be applied to the process of origin of multigene families with diverse copy members such as those of immunoglobulin or cytochrome P450. In general, the process of creating new genes by duplication might be somewhere between the present and the traditional models.
通过考虑多基因家族和其他重复DNA序列的最新知识,研究了一种通过基因复制积累遗传信息的进化模型。遗传信息被定义为基因家族能够执行的不同功能的总和。本研究定义并使用了一个与遗传信息高度相关的系数“遗传多样性”。最初,假定一个具有少量基因拷贝的多基因家族,自然选择开始作用于这个基因家族以增加基因家族中包含的遗传多样性。作为一种重要机制,纳入了不等交换。它与突变一起,负责为选择提供个体间的遗传变异性。已经详细研究了一个特定模型,其中遗传多样性较低的个体具有选择性劣势。通过近似理论分析和广泛的蒙特卡罗研究表明,该系统是积累遗传信息的一种极其有效的方式。对于获得一个基因,在该模型下的遗传负荷比传统自然选择模型下要小得多。该模型可应用于具有不同拷贝成员的多基因家族的起源过程,如免疫球蛋白或细胞色素P450的多基因家族。一般来说,通过复制产生新基因的过程可能介于当前模型和传统模型之间。