4.8 Article

Identification and Genomic Analysis of Transcription Factors in Archaeal Genomes Exemplifies Their Functional Architecture and Evolutionary Origin

期刊

MOLECULAR BIOLOGY AND EVOLUTION
卷 27, 期 6, 页码 1449-1459

出版社

OXFORD UNIV PRESS
DOI: 10.1093/molbev/msq033

关键词

transcription factors; protein families; archaeal genomes; evolution; gene regulation

资金

  1. EMBO [ASTF 224-2005]
  2. DGAPA-UNAM [IN-217508]
  3. MRC Laboratory of Molecular Biology and Cambridge Commonwealth Trust

向作者/读者索取更多资源

Archaea, which represent a large fraction of the phylogenetic diversity of organisms, are prokaryotes with eukaryote-like basal transcriptional machinery. This organization makes the study of their DNA-binding transcription factors (TFs) and their transcriptional regulatory networks particularly interesting. In addition, there are limited experimental data regarding their TFs. In this work, 3,918 TFs were identified and exhaustively analyzed in 52 archaeal genomes. TFs represented less than 5% of the gene products in all the studied species comparable with the number of TFs identified in parasites or intracellular pathogenic bacteria, suggesting a deficit in this class of proteins. A total of 75 families were identified, of which HTH_3, AsnC, TrmB, and ArsR families were universally and abundantly identified in all the archaeal genomes. We found that archaeal TFs are significantly small compared with other protein-coding genes in archaea as well as bacterial TFs, suggesting that a large fraction of these small-sized TFs could supply the probable deficit of TFs in archaea, by possibly forming different combinations of monomers similar to that observed in eukaryotic transcriptional machinery. Our results show that although the DNA-binding domains of archaeal TFs are similar to bacteria, there is an underrepresentation of ligand-binding domains in smaller TFs, which suggests that protein-protein interactions may act as mediators of regulatory feedback, indicating a chimera of bacterial and eukaryotic TFs' functionality. The analysis presented here contributes to the understanding of the details of transcriptional apparatus in archaea and provides a framework for the analysis of regulatory networks in these organisms.

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