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通过位点特异性速率变化预测蛋白质进化中的功能分化

Predicting functional divergence in protein evolution by site-specific rate shifts.

作者信息

Gaucher Eric A, Gu Xun, Miyamoto Michael M, Benner Steven A

机构信息

NASA Astrobiology Institute, University of Florida, Gainesville, FL 32611, USA.

出版信息

Trends Biochem Sci. 2002 Jun;27(6):315-21. doi: 10.1016/s0968-0004(02)02094-7.

Abstract

Most modern tools that analyze protein evolution allow individual sites to mutate at constant rates over the history of the protein family. However, Walter Fitch observed in the 1970s that, if a protein changes its function, the mutability of individual sites might also change. This observation is captured in the "non-homogeneous gamma model", which extracts functional information from gene families by examining the different rates at which individual sites evolve. This model has recently been coupled with structural and molecular biology to identify sites that are likely to be involved in changing function within the gene family. Applying this to multiple gene families highlights the widespread divergence of functional behavior among proteins to generate paralogs and orthologs.

摘要

大多数分析蛋白质进化的现代工具都允许蛋白质家族历史上的各个位点以恒定速率发生突变。然而,沃尔特·菲奇在20世纪70年代观察到,如果一种蛋白质改变其功能,各个位点的可突变性也可能会改变。这种观察结果体现在“非齐次伽马模型”中,该模型通过检查各个位点进化的不同速率从基因家族中提取功能信息。最近,这个模型已经与结构生物学和分子生物学相结合,以识别可能参与基因家族内功能变化的位点。将此应用于多个基因家族凸显了蛋白质之间功能行为的广泛差异,从而产生旁系同源物和直系同源物。

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