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使用基因组工具研究调控进化。

Using genomic tools to study regulatory evolution.

作者信息

Gilad Yoav

机构信息

Department of Human Genetics, The University of Chicago, Chicago, IL, USA.

出版信息

Methods Mol Biol. 2012;856:335-61. doi: 10.1007/978-1-61779-585-5_14.

Abstract

Differences in gene regulation are thought to play an important role in speciation and adaptation. Comparative genomic studies of gene expression levels have identified a large number of differentially expressed genes among species, and, in a number of cases, also pointed to connections between interspecies differences in gene regulation and differences in ultimate physiological or morphological phenotypes. The mechanisms underlying changes in gene regulation are also being actively studied using comparative genomic approaches. However, the relative importance of different regulatory mechanisms to interspecies differences in gene expression levels is not yet well understood. In particular, it is often difficult to infer causality between apparent differences in regulatory mechanisms and changes in gene expression levels, a challenge that is compounded by the fact that the link between sequence variation and gene regulation is not clear. Indeed, in certain cases, gene regulation can be conserved even when sequences at associated regulatory elements have changed. In this chapter, I examine different genomic approaches to the study of regulatory evolution and the underlying genetic and epigenetic regulatory mechanisms. I try to distinguish between hypothesis-driven and exploratory studies, and argue that the latter class of studies provides valuable information in its own right as well as necessary context for the former. I discuss issues related to study designs and statistical analyses of genomic studies, and review the evidence for natural selection on gene expression levels and associated regulatory mechanisms. Most of the issues that are discussed pertain to the general nature of multivariate genomic data, and thus are often relevant regardless of the technology that is used to collect high-throughput genomic data (for example, microarrays or massively parallel sequencing).

摘要

基因调控差异被认为在物种形成和适应过程中发挥着重要作用。对基因表达水平的比较基因组研究已经在物种间鉴定出大量差异表达基因,并且在许多情况下,还指出了基因调控的种间差异与最终生理或形态表型差异之间的联系。目前也正在使用比较基因组方法积极研究基因调控变化的潜在机制。然而,不同调控机制对基因表达水平种间差异的相对重要性尚未得到很好的理解。特别是,通常很难推断调控机制的明显差异与基因表达水平变化之间的因果关系,而序列变异与基因调控之间的联系不明确这一事实使这一挑战更加复杂。事实上,在某些情况下,即使相关调控元件的序列发生了变化,基因调控仍可保持保守。在本章中,我将探讨研究调控进化以及潜在遗传和表观遗传调控机制的不同基因组方法。我试图区分假设驱动型研究和探索型研究,并认为后者本身就能提供有价值的信息,同时也为前者提供必要的背景信息。我将讨论与基因组研究的研究设计和统计分析相关的问题,并回顾关于基因表达水平及相关调控机制的自然选择的证据。所讨论的大多数问题都与多变量基因组数据的一般性质有关,因此无论用于收集高通量基因组数据的技术(例如微阵列或大规模平行测序)如何,这些问题通常都具有相关性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3f3a/4011178/31190728ed2b/nihms574303f1.jpg

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Using genomic tools to study regulatory evolution.使用基因组工具研究调控进化。
Methods Mol Biol. 2012;856:335-61. doi: 10.1007/978-1-61779-585-5_14.
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本文引用的文献

1
PHENOTYPIC EVOLUTION BY NEUTRAL MUTATION.中性突变导致的表型进化
Evolution. 1986 Sep;40(5):915-935. doi: 10.1111/j.1558-5646.1986.tb00561.x.

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