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基因调控的进化——走向计算推论之路。

Evolution of gene regulation--on the road towards computational inferences.

机构信息

Institute for Biostatistics and Informatics in Medicine and Ageing Research-IBIMA, University of Rostock, Medical Faculty, Ernst-Heydemann-Str. 8, 18057 Rostock, Germany.

出版信息

Brief Bioinform. 2011 Mar;12(2):122-31. doi: 10.1093/bib/bbq060. Epub 2010 Aug 11.

Abstract

If fragments of DNA are transcribed (expressed), they deserve to be called (parts of) a gene. Whether transcription takes place depends on the 'gene regulatory network'. This network is defined as the complex interplay of the sequence, biochemical modifications and structure of the chromosomal DNA with the regulatory proteins/RNA (transcription factors, co-factors, regulating RNA and the transcriptional apparatus itself). Gene regulatory networks play a role in various stages of development as well as in the maintenance of the organism; in this review we will concentrate on the former. Their evolutionary reconstruction is daunting (to say the least), and bioinformatics tools are in their infancy. However, gain of understanding offers a reward beyond itself, since evolutionary considerations can enable discoveries in the first place, e.g. the computational identification of conserved transcription factor binding sites. We discuss the evolution of gene regulation in the context of the 'Genetic Theory of Morphological Evolution' as described by Carroll, identifying those parts of the theory that are relevant for bioinformatics, and their implications. We discuss the important question of how bioinformatics analysis results on the evolution of gene regulation may be validated. Finally, we briefly exemplify use of the UCSC genome browser, exploiting its pre-computed alignments to describe the evolution of gene regulation.

摘要

如果 DNA 片段被转录(表达),它们应该被称为(基因的)一部分。转录是否发生取决于“基因调控网络”。这个网络被定义为染色体 DNA 的序列、生化修饰和结构与调节蛋白/RNA(转录因子、辅助因子、调节 RNA 和转录装置本身)之间的复杂相互作用。基因调控网络在发育的各个阶段以及在生物体的维持中都发挥作用;在这篇综述中,我们将集中讨论前者。它们的进化重建是令人生畏的(至少可以这么说),而生物信息学工具还处于起步阶段。然而,理解的获得提供的回报超出了自身,因为进化的考虑首先可以使发现成为可能,例如,保守转录因子结合位点的计算识别。我们将在 Carroll 所描述的“形态进化的遗传理论”的背景下讨论基因调控的进化,确定该理论中与生物信息学相关的部分及其含义。我们讨论了如何验证生物信息学分析基因调控进化结果的重要问题。最后,我们简要举例说明了如何使用 UCSC 基因组浏览器,利用其预先计算的比对来描述基因调控的进化。

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