Suppr超能文献

利用微阵列揭示基因表达的进化模式。

Uncovering evolutionary patterns of gene expression using microarrays.

作者信息

Ranz José M, Machado Carlos A

机构信息

Department of Genetics, University of Cambridge, Cambridge CB2 3EH, UK.

出版信息

Trends Ecol Evol. 2006 Jan;21(1):29-37. doi: 10.1016/j.tree.2005.09.002. Epub 2005 Sep 21.

Abstract

The advent of microarray technology is providing new insights into fundamental questions in evolutionary biology. Here, we review the recent literature on the use of microarrays to study the evolution of genome-wide patterns of gene expression within and between species. Large levels of variation in gene expression patterns have been observed at the intra and interspecific level, and a substantial fraction of transcriptional variation has a genetic component that is contributed by changes in both cis-acting and trans-acting regulatory elements. We argue that there is solid evidence to show that the temporal dynamics of transcriptional variation is largely determined by natural selection, with the fraction of the transcriptome more closely related to sex and reproduction evolving more rapidly.

摘要

微阵列技术的出现为进化生物学的基本问题提供了新的见解。在此,我们回顾了近期有关利用微阵列研究物种内和物种间全基因组基因表达模式进化的文献。在种内和种间水平均观察到基因表达模式存在大量变异,并且相当一部分转录变异具有遗传成分,这是由顺式作用和反式作用调控元件的变化所致。我们认为,有确凿证据表明转录变异的时间动态在很大程度上由自然选择决定,转录组中与性别和繁殖关系更密切的部分进化得更快。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验