Evolution of regulatory systems in bacteria (Invited keynote talk)

Mikhail S. Gelfand, Alexei E. Kazakov, Yuri D. Korostelev, Olga N. Laikova, Andrei A. Mironov, Alexandra B. Rakhmaninova, Dmitry A. Ravcheev, Dmitry A. Rodionov, Alexei G. Vitreschak

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Recent comparative studies indicate surprising flexibility of regulatory systems in bacteria. These systems can be analyzed on several levels, and I plan to consider two of them. At the level of regulon evolution, one can attempt to characterize the evolution of regulon content formed by loss, gain and duplications of regulators and regulated genes, as well as gain and loss of individual regulatory sites and horizontal gene transfer. At the level of transcription factor families, one can study co-evolution of DNA-binding proteins and the motifs they recognize. While this area is not yet ripe for fully automated analysis, the results of systematic comparative studies gradually start to coalesce into an understanding of how bacteria regulatory systems evolve.

Original languageEnglish
Title of host publicationBioinformatics Research and Applications - 5th International Symposium, ISBRA 2009, Proceedings
Pages1-4
Number of pages4
DOIs
Publication statusPublished - 2009
Externally publishedYes
Event5th International Symposium on Bioinformatics Research and Applications, ISBRA 2009 - Fort Lauderdale, FL, United States
Duration: 13 May 200916 May 2009

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5542
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference5th International Symposium on Bioinformatics Research and Applications, ISBRA 2009
Country/TerritoryUnited States
CityFort Lauderdale, FL
Period13/05/0916/05/09

Keywords

  • Bacteria
  • Binding site
  • Comparative genomics
  • Regulation of transcription
  • Regulation of translation
  • T-box
  • Transcription factor

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