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一种估计祖先氨基酸组成的新方法及其在最后共同祖先蛋白质中的应用。

A novel method for estimating ancestral amino acid composition and its application to proteins of the Last Universal Ancestor.

作者信息

Brooks D J, Fresco J R, Singh M

机构信息

Department of Genetics, Washington University School of Medicine, St Louis, MO 63110, USA.

出版信息

Bioinformatics. 2004 Sep 22;20(14):2251-7. doi: 10.1093/bioinformatics/bth235. Epub 2004 Apr 8.

Abstract

MOTIVATION

Knowledge of how proteomic amino acid composition has changed over time is important for constructing realistic models of protein evolution and increasing our understanding of molecular evolutionary history. The proteomic amino acid composition of the Last Universal Ancestor (LUA) of life is of particular interest, since that might provide insight into the early evolution of proteins and the nature of the LUA itself.

RESULTS

We introduce a method to estimate ancestral amino acid composition that is based on expectation-maximization. On simulated data, the approach was found to be very effective in estimating ancestral amino acid composition, with accuracy improving as the number of residues in the dataset was increased. The method was then used to infer the amino acid composition of a set of proteins in the LUA. In general, as compared with the modern protein set, LUA proteins were found to be richer in amino acids that are believed to have been most abundant in the prebiotic environment and poorer in those believed to have been unavailable or scarce. Additionally, we found the inferred amino acid composition of this protein set in the LUA to be more similar to the observed composition of the same set in extant thermophilic species than in extant mesophilic species, supporting the idea that the LUA lived in a thermophilic environment.

AVAILABILITY

The program is available at http://compbio.cs.princeton.edu/ancestralaa

摘要

动机

了解蛋白质组氨基酸组成如何随时间变化,对于构建蛋白质进化的现实模型以及增进我们对分子进化历史的理解非常重要。生命的最后共同祖先(LUA)的蛋白质组氨基酸组成尤其令人感兴趣,因为这可能为蛋白质的早期进化以及LUA本身的性质提供见解。

结果

我们引入了一种基于期望最大化的方法来估计祖先氨基酸组成。在模拟数据上,该方法在估计祖先氨基酸组成方面非常有效,随着数据集中残基数量的增加,准确性也会提高。然后该方法被用于推断LUA中一组蛋白质的氨基酸组成。总体而言,与现代蛋白质组相比,LUA蛋白质中被认为在益生元环境中最丰富的氨基酸含量更高,而那些被认为无法获得或稀缺的氨基酸含量更低。此外,我们发现推断出的LUA中该蛋白质组的氨基酸组成与现存嗜热物种中同一组蛋白质的观察组成比与现存嗜温物种中的更为相似,这支持了LUA生活在嗜热环境中的观点。

可用性

该程序可在http://compbio.cs.princeton.edu/ancestralaa获取

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