Inferring regulatory mechanisms from patterns of evolutionary divergence

Molecular Systems Biology

Itay Tirosh¹ 

[1] Department of Molecular Genetics, Weizmann Institute of Science, Rehovot, Israel

关键词: evolution;    gene regulation;    genomics;   

DOI  :  10.1038/msb.2011.60

来源: Wiley

【 摘 要 】

Abstract

The number of sequenced species is increasing at a staggering rate, calling for new approaches for incorporating evolutionary information in the study of biological mechanisms. Evolutionary conservation is widely used for assigning a function to new proteins and for predicting functional coding or non-coding sequences. Here, we argue for a complementary approach that focuses on the divergence of regulatory programs. Regulatory mechanisms can be learned from patterns of evolutionary divergence in regulatory properties such as gene expression, transcription factor binding or nucleosome positioning. We review examples of this concept using yeast as a model system, and highlight a hybrid-based approach that is highly instrumental in this analysis.

【 授权许可】

CC BY-NC-SA   
Copyright © 2011 EMBO and Macmillan Publishers Limited

Creative Commons Attribution License, which permits distribution, and reproduction in any medium, provided the original author and source are credited. This license does not permit commercial exploitation without specific permission.