Duret Laurent
Laboratoire de Biométrie et Biologie Evolutive UMR CNRS 5558, Université Claude Bernard Lyon 1 69622, cedex, Villeurbanne, France.
Curr Opin Genet Dev. 2002 Dec;12(6):640-9. doi: 10.1016/s0959-437x(02)00353-2.
The vast amount of data generated by genome projects and the recent development of population genetics models make comparative sequence analyses a very powerful approach with which to detect the footprints of selection. Studies on synonymous codon usage show that traits with minuscule phenotypic effects can be molded by natural selection. But variations in mutation patterns and processes of biased gene conversion make it difficult to distinguish between selective and neutral evolutionary processes.
基因组计划产生的大量数据以及群体遗传学模型的最新发展,使得比较序列分析成为检测选择印记的一种非常强大的方法。对同义密码子使用情况的研究表明,具有微小表型效应的性状也可受到自然选择的塑造。但是,突变模式的变化以及偏向性基因转换过程使得区分选择性和中性进化过程变得困难。