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Asymmetric Evolution of Human Transcription Factor Regulatory Networks
Author(s) -
Zhan Zhou,
Jingqi Zhou,
Zhixi Su,
Xun Gu
Publication year - 2014
Publication title -
molecular biology and evolution
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 6.637
H-Index - 218
eISSN - 1537-1719
pISSN - 0737-4038
DOI - 10.1093/molbev/msu163
Subject(s) - biology , gene duplication , gene , regulatory sequence , transcription factor , gene regulatory network , regulation of gene expression , genetics , downstream (manufacturing) , promoter , transcriptional regulation , upstream and downstream (dna) , computational biology , upstream (networking) , gene expression , computer science , computer network , operations management , economics
Changes in cis or trans regulatory regions are the major driving forces that underlie the evolution of gene expression. Transcription factors (TFs) are the main trans factors involved in transcriptional regulation. Here, we studied the divergence of upstream and downstream regulatory networks between duplicate TFs in light of the Encyclopedia of DNA Elements project. We found that the divergence of upstream regulatory networks was generally smaller than the divergence of downstream regulatory networks. Further analysis showed that the downstream regulatory circuits of duplicate TFs evolve faster in the early stage than the late stage after gene duplication. Upstream regulatory circuits are generally more conserved than downstream regulatory circuits in the early stage and in small TF families. Our results indicate the asymmetric evolution of upstream and downstream regulatory circuits between duplicate TFs, which suggest that after gene duplication, human TF families tend to evolve asymmetrically between coding regions and promoter regions.

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