Mapping and manipulating the Mycobacterium tuberculosis transcriptome using a transcription factor overexpression-derived regulatory network.

Publication Type:

Journal Article

Source:

Genome Biol, Volume 15, Issue 11, p.502 (2014)

Keywords:

Cloning, Molecular, Gene Expression Regulation, Bacterial, Gene Regulatory Networks, Humans, Isoniazid, Mycobacterium tuberculosis, Promoter Regions, Genetic, Regulon, Transcription Factors, Transcription, Genetic, Transcriptome, Tuberculosis

Abstract:

<p><b>BACKGROUND: </b>Mycobacterium tuberculosis senses and responds to the shifting and hostile landscape of the host. To characterize the underlying intertwined gene regulatory network governed by approximately 200 transcription factors of M. tuberculosis, we have assayed the global transcriptional consequences of overexpressing each transcription factor from an inducible promoter.</p><p><b>RESULTS: </b>We cloned and overexpressed 206 transcription factors in M. tuberculosis to identify the regulatory signature of each. We identified 9,335 regulatory consequences of overexpressing each of 183 transcription factors, providing evidence of regulation for 70% of the M. tuberculosis genome. These transcriptional signatures agree well with previously described M. tuberculosis regulons. The number of genes differentially regulated by transcription factor overexpression varied from hundreds of genes to none, with the majority of expression changes repressing basal transcription. Exploring the global transcriptional maps of transcription factor overexpressing (TFOE) strains, we predicted and validated the phenotype of a regulator that reduces susceptibility to a first line anti-tubercular drug, isoniazid. We also combined the TFOE data with an existing model of M. tuberculosis metabolism to predict the growth rates of individual TFOE strains with high fidelity.</p><p><b>CONCLUSION: </b>This work has led to a systems-level framework describing the transcriptome of a devastating bacterial pathogen, characterized the transcriptional influence of nearly all individual transcription factors in M. tuberculosis, and demonstrated the utility of this resource. These results will stimulate additional systems-level and hypothesis-driven efforts to understand M. tuberculosis adaptations that promote disease.</p>

Supplementary Files: 

TFOE Expression Data Records

Title Gene BioProject GEO Series Platform Accession Sample Method Sample Type References Release Date Repository
TFOE_9973_2703
RNA polymerase sigma factor SigB
PRJNA254351 GSE59086 GPL14824 GSM1426852 Tiling Array RNA 25232098 4-Jul-14 GEO
TFOE_1608_2640c
Arsenical resistance operon repressor
PRJNA254351 GSE59086 GPL14824 GSM1426841 Tiling Array RNA 25232098 4-Jul-14 GEO
TFOE_3286_2640c
Arsenical resistance operon repressor
PRJNA254351 GSE59086 GPL14824 GSM1426842 Tiling Array RNA 25232098 4-Jul-14 GEO
TFOE_3535_2640c
Arsenical resistance operon repressor
PRJNA254351 GSE59086 GPL14824 GSM1426843 Tiling Array RNA 25232098 4-Jul-14 GEO
TFOE_7229_2640c
Arsenical resistance operon repressor
PRJNA254351 GSE59086 GPL14824 GSM1426844 Tiling Array RNA 25232098 4-Jul-14 GEO
TFOE_5185_2642_B
Arsenical resistance operon repressor
PRJNA254351 GSE59086 GPL14824 GSM1426845 Tiling Array RNA 25232098 4-Jul-14 GEO
TFOE_6112_2642
Arsenical resistance operon repressor
PRJNA254351 GSE59086 GPL14824 GSM1426846 Tiling Array RNA 25232098 4-Jul-14 GEO
TFOE_6126_2642
Arsenical resistance operon repressor
PRJNA254351 GSE59086 GPL14824 GSM1426847 Tiling Array RNA 25232098 4-Jul-14 GEO
TFOE_5176_2642
Arsenical resistance operon repressor
PRJNA254351 GSE59086 GPL14824 GSM1426848 Tiling Array RNA 25232098 4-Jul-14 GEO
TFOE_7096_2642
Arsenical resistance operon repressor
PRJNA254351 GSE59086 GPL14824 GSM1426849 Tiling Array RNA 25232098 4-Jul-14 GEO