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比较基因组学:方法与应用

Comparative genomics: methods and applications.

作者信息

Haubold Bernhard, Wiehe Thomas

机构信息

Fachbereich Biotechnologie & Bioinformatik, Fachhochschule Weihenstephan, 85350 Freising, Germany.

出版信息

Naturwissenschaften. 2004 Sep;91(9):405-21. doi: 10.1007/s00114-004-0542-8. Epub 2004 Jun 25.

Abstract

Interpreting the functional content of a given genomic sequence is one of the central challenges of biology today. Perhaps the most promising approach to this problem is based on the comparative method of classic biology in the modern guise of sequence comparison. For instance, protein-coding regions tend to be conserved between species. Hence, a simple method for distinguishing a functional exon from the chance absence of stop codons is to investigate its homologue from closely related species. Predicting regulatory elements is even more difficult than exon prediction, but again, comparisons pinpointing conserved sequence motifs upstream of translation start sites are helping to unravel gene regulatory networks. In addition to interspecific studies, intraspecific sequence comparison yields insights into the evolutionary forces that have acted on a species in the past. Of particular interest here is the identification of selection events such as selective sweeps. Both intra- and interspecific sequence comparisons are based on a variety of computational methods, including alignment, phylogenetic reconstruction, and coalescent theory. This article surveys the biology and the central computational ideas applied in recent comparative genomics projects. We argue that the most fruitful method of understanding the functional content of genomes is to study them in the context of related genomic sequences. In particular, such a study may reveal selection, a fundamental pointer to biological relevance.

摘要

解读给定基因组序列的功能内容是当今生物学的核心挑战之一。解决这个问题最有前景的方法或许是基于经典生物学的比较方法,以序列比较的现代形式呈现。例如,蛋白质编码区域在物种间往往是保守的。因此,一种区分功能性外显子与偶然不存在终止密码子情况的简单方法是研究其在亲缘关系较近物种中的同源物。预测调控元件比外显子预测更困难,但同样,确定翻译起始位点上游保守序列基序的比较有助于揭示基因调控网络。除了种间研究,种内序列比较能深入了解过去作用于一个物种的进化力量。这里特别值得关注的是识别选择事件,如选择性清除。种内和种间序列比较都基于多种计算方法,包括比对、系统发育重建和溯祖理论。本文概述了近期比较基因组学项目中应用的生物学及核心计算思想。我们认为,理解基因组功能内容最有成效的方法是在相关基因组序列的背景下研究它们。特别是,这样的研究可能揭示选择,这是生物学相关性的一个基本指标。

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