z-logo
open-access-imgOpen Access
A phylogenomic analysis of bacterial helix–turn–helix transcription factors
Author(s) -
Santos Catarina L.,
Tavares Fernando,
Thioulouse Jean,
Normand Philippe
Publication year - 2009
Publication title -
fems microbiology reviews
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 5.91
H-Index - 212
eISSN - 1574-6976
pISSN - 0168-6445
DOI - 10.1111/j.1574-6976.2008.00154.x
Subject(s) - biology , transcription factor , genome , organism , computational biology , adaptability , evolutionary biology , ecology , genetics , transcription (linguistics) , phylogenetics , bacterial genome size , gene , linguistics , philosophy
Perception by each individual organism of its environment's parameters is a key factor for survival. In a constantly changing environment, the ability to assess nutrient sources and potentially stressful situations constitutes the main basis for ecological adaptability. Transcription regulators are key decision‐making proteins that mediate the communication between environmental conditions and DNA transcription through a multifaceted network. The parallel study of these regulators across microbial organisms adapted to contrasting biotopes constitutes an unexplored approach to understand the evolution of genome plasticity and cell function. We present here a reassessment of bacterial helix–turn–helix regulator diversity in different organisms from a multidisciplinary perspective, on the interface that links metabolism, ecology and phylogeny, further sustained by a statistically based approach. The present revision brought to light evidence of patterns among families of regulators, suggesting that multiple selective forces modulate the number and kind of regulators present in a given genome. Besides being an important step towards understanding the adaptive traits that influence the microbial responses to the varying environment on the very first and most prevalent line of reaction, the transcription of DNA, this approach is a promising tool to extract biological trends from genomic databases.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here