Laboratory of Computational and Quantitative Biology (LCQB)
UMR 7238 CNRS - Sorbonne Université
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A comparative evolutionary study of transcription networks. The global role of feedback and hierachical structures.
| Title | A comparative evolutionary study of transcription networks. The global role of feedback and hierachical structures. |
| Publication Type | Journal Article |
| Year of Publication | 2009 |
| Authors | Sellerio, AL, Bassetti, B, Isambert, H, Cosentino Lagomarsino, M |
| Journal | Mol Biosyst |
| Volume | 5 |
| Issue | 2 |
| Pagination | 170-9 |
| Date Published | 2009 Feb |
| ISSN | 1742-2051 |
| Keywords | Bacillus subtilis, Bacterial Proteins, Dimerization, Escherichia coli, Escherichia coli Proteins, Evolution, Molecular, Gene Expression Profiling, Gene Expression Regulation, Bacterial, Gene Regulatory Networks, Models, Biological, Models, Statistical, Saccharomyces cerevisiae, Species Specificity, Transcription Factors, Transcription, Genetic |
| Abstract | We present a comparative analysis of large-scale topological and evolutionary properties of transcription networks in three species: the two distant bacteria E. coli and B. subtilis, and the yeast S. cerevisiae. The study focuses on the global aspects of feedback and hierarchy in transcriptional regulatory pathways. While confirming that gene duplication has a significant impact on the shaping of all the analyzed transcription networks, our results point to distinct trends between the bacteria, which display a hierarchical network structure with short transcription cascades, and yeast, which seems able to sustain a higher wiring complexity, including larger feedback, longer transcription cascades, and the combinatorial use of heterodimers made of duplicate transcription factors, absent in E. coli. |
| DOI | 10.1039/b815339f |
| Alternate Journal | Mol Biosyst |
| PubMed ID | 19156263 |
