A system‐level model for the microbial regulatory genome

Molecular Systems Biology

Aaron N Brooks²  David J Reiss²  Antoine Allard¹  Wei-Ju Wu²  Diego M Salvanha²  Christopher L Plaisier²  Sriram Chandrasekaran²  Min Pan²  Amardeep Kaur² 

[1] Département de Physique, de Génie Physique et d'Optique, Université Laval, Québec, QC, Canada;Institute for Systems Biology, Seattle, WA, USA

关键词: EGRIN;    gene regulatory networks;    systems biology;    transcriptional regulation;   

DOI  :  10.15252/msb.20145160

来源: Wiley

【 摘 要 】

Abstract

Microbes can tailor transcriptional responses to diverse environmental challenges despite having streamlined genomes and a limited number of regulators. Here, we present data-driven models that capture the dynamic interplay of the environment and genome-encoded regulatory programs of two types of prokaryotes: Escherichia coli (a bacterium) and Halobacterium salinarum (an archaeon). The models reveal how the genome-wide distributions of cis-acting gene regulatory elements and the conditional influences of transcription factors at each of those elements encode programs for eliciting a wide array of environment-specific responses. We demonstrate how these programs partition transcriptional regulation of genes within regulons and operons to re-organize gene–gene functional associations in each environment. The models capture fitness-relevant co-regulation by different transcriptional control mechanisms acting across the entire genome, to define a generalized, system-level organizing principle for prokaryotic gene regulatory networks that goes well beyond existing paradigms of gene regulation. An online resource (http://egrin2.systemsbiology.net) has been developed to facilitate multiscale exploration of conditional gene regulation in the two prokaryotes.

Synopsis

Genome-scale reconstruction of microbial gene regulatory networks using genome sequence and transcriptional profiles reveals condition-dependent co-regulated modules (corems) and predicts the underlying cis-regulatory mechanisms.

• Genome-wide map of gene regulatory elements (GREs) and their condition-specific activities
• Model predicts which mechanisms mediate responses to specific environments
• Operons and regulons are conditionally partitioned and re-associated into co-regulated modules or “corems”.
• Corems group together genes from different operons and regulons that have highly similar fitness consequences.

【 授权许可】

CC BY   
© 2014 The Authors. Published under the terms of the CC BY 4.0 license

Creative Commons Attribution 4.0 License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.