Co-evolutionary Rates of Functionally Related Yeast Genes

被引:0
|
作者
Marino-Ramirez, Leonardo [2 ]
Bodenreider, Olivier [3 ]
Kantz, Natalie [2 ]
Jordan, I. King [1 ]
机构
[1] Georgia Inst Technol, Sch Biol, Atlanta, GA 30332 USA
[2] Natl Inst Hlth, Natl Ctr Biotechnol Informat, Bethesda, MD 20894 USA
[3] Natl Inst Hlth, Natl Lib Med, Bethesda, MD 20894 USA
来源
关键词
Functional inference; Co-evolution; natural selection; genome evolution; gene ontology;
D O I
暂无
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
Evolutionary knowledge is often used to facilitate computational attempts at gene function prediction. One rich source of evolutionary information is the relative rates of gene sequence divergence, and in this report we explore the connection between gene evolutionary rates and function. We performed a genome-scale evaluation of the relationship between evolutionary rates and functional annotations for the yeast Saccharomyces cerevisiae. Non-synonymous (dN) and synonymous (dS) substitution rates were calculated for 1,095 orthologous gene sets common to S. cerevisiae and six other closely related yeast species. Differences in evolutionary rates between pairs of genes (Delta dN & Delta dS) were then compared to their functional similarities (sGO), which were measured using Gene Ontology (GO) annotations. Substantial and statistically significant correlations were found between. dN and sGO, whereas there is no apparent relationship between. dS and sGO. These results are consistent with a mode of action for natural selection that is based on similar rates of elimination of deleterious protein coding sequence variants for functionally related genes. The connection between gene evolutionary rates and function was stronger than seen for phylogenetic profiles, which have previously been employed to inform functional inference. The co-evolution of functionally related yeast genes points to the relevance of specific function for the efficacy of natural selection and underscores the utility of gene evolutionary rates for functional predictions.
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页码:271 / 276
页数:6
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