College of Life Sciences, Zhejiang University, Hangzhou, China.
J Evol Biol. 2009 Dec;22(12):2430-7. doi: 10.1111/j.1420-9101.2009.01851.x. Epub 2009 Oct 29.
Available abundant genomic data allows us to study the evolution of the yeast genome at a fine scale. In this study, we examined the adaptive evolution of coding and promoter regions in three Saccharomyces cerevisiae strains. First, using a maximum-likelihood approach, we identified 76 positively selected genes (PSG) whose coding regions likely have undergone positive selection in the recent past. These genes show significant bias in terms of biological function and they show over-representation of charged amino acids at positively selected sites. Next, using recent data on yeast transcription-start sites to define core-promoter regions, we identified 31 positively selected promoters, and their corresponding genes are significantly enriched in transmembrane transporter function. We found PSG show no correlation with promoter adaption or expression variation, suggesting that positive selection on coding regions and positive selection on promoter regions are not coupled. Together, our study provides insights into the evolution of S. cerevisiae strains from different environments.
丰富的基因组数据使我们能够在更精细的尺度上研究酵母基因组的进化。在这项研究中,我们研究了三个酿酒酵母菌株中编码区和启动子区的适应性进化。首先,我们使用最大似然法鉴定了 76 个正选择基因(PSG),其编码区可能在最近经历了正选择。这些基因在生物学功能方面存在显著的偏向性,并且在正选择位点上表现出带电荷氨基酸的过度表达。接下来,我们使用酵母转录起始位点的最新数据来定义核心启动子区,鉴定了 31 个正选择启动子,它们对应的基因在跨膜转运蛋白功能中显著富集。我们发现 PSG 与启动子适应或表达变化没有相关性,这表明编码区的正选择和启动子区的正选择没有耦合。总之,我们的研究为来自不同环境的酿酒酵母菌株的进化提供了新的见解。