» Articles » PMID: 16868085

Characterization of Mycobacterial Virulence Genes Through Genetic Interaction Mapping

Overview
Specialty Science
Date 2006 Jul 27
PMID 16868085
Citations 102
Authors
Affiliations
Soon will be listed here.
Abstract

We have previously shown that approximately 5% of the genes encoded by the genome of Mycobacterium tuberculosis are specifically required for the growth or survival of this bacterium during infection. This corresponds to hundreds of genes, most of which have no identifiable function. As a unique approach to characterize these genes, we developed a method to rapidly delineate functional pathways by identifying mutations that modify each other's phenotype, i.e., "genetic interactions". Using this method, we have defined a complex set of interactions between virulence genes in this pathogen, and find that the products of unlinked genes associate to form multisubunit transporters that are required for bacterial survival in the host. These findings implicate a previously undescribed family of transport systems in the pathogenesis of tuberculosis, and identify genes that are likely to function in the metabolism of their substrates. This method can be readily applied to other organisms at either the single pathway level, as described here, or at the system level to define quantitative genetic interaction networks.

Citing Articles

Metabolic tagging reveals surface-associated lipoproteins in mycobacteria.

Parkin L, Maceren J, Palande A, Previti M, Seeliger J bioRxiv. 2025; .

PMID: 39829771 PMC: 11741404. DOI: 10.1101/2025.01.07.631728.


Cholesterol metabolism and intrabacterial potassium homeostasis are intrinsically related in .

Chen Y, Hagopian B, Tan S bioRxiv. 2024; .

PMID: 39605342 PMC: 11601456. DOI: 10.1101/2024.11.10.622811.


CRISPRi-TnSeq maps genome-wide interactions between essential and non-essential genes in bacteria.

Jana B, Liu X, Denereaz J, Park H, Leshchiner D, Liu B Nat Microbiol. 2024; 9(9):2395-2409.

PMID: 39030344 PMC: 11371651. DOI: 10.1038/s41564-024-01759-x.


Whole Genome Sequencing Highlights the Pathogenic Profile in Nocardia Keratitis.

Guo X, Zhang Z, Chen Q, Wang L, Xu X, Wei Z Invest Ophthalmol Vis Sci. 2024; 65(3):26.

PMID: 38502137 PMC: 10959193. DOI: 10.1167/iovs.65.3.26.


Biochemical and structural characterization reveals Rv3400 codes for β-phosphoglucomutase in Mycobacterium tuberculosis.

Singh L, Karthikeyan S, Thakur K Protein Sci. 2024; 33(4):e4943.

PMID: 38501428 PMC: 10949319. DOI: 10.1002/pro.4943.


References
1.
Camus J, Pryor M, Medigue C, Cole S . Re-annotation of the genome sequence of Mycobacterium tuberculosis H37Rv. Microbiology (Reading). 2002; 148(Pt 10):2967-2973. DOI: 10.1099/00221287-148-10-2967. View

2.
Wu L, Hughes T, Davierwala A, Robinson M, Stoughton R, Altschuler S . Large-scale prediction of Saccharomyces cerevisiae gene function using overlapping transcriptional clusters. Nat Genet. 2002; 31(3):255-65. DOI: 10.1038/ng906. View

3.
Casali N, Konieczny M, Schmidt M, Riley L . Invasion activity of a Mycobacterium tuberculosis peptide presented by the Escherichia coli AIDA autotransporter. Infect Immun. 2002; 70(12):6846-52. PMC: 133103. DOI: 10.1128/IAI.70.12.6846-6852.2002. View

4.
Das A, Mitra D, Harboe M, Nandi B, Harkness R, Das D . Predicted molecular structure of the mammalian cell entry protein Mce1A of Mycobacterium tuberculosis. Biochem Biophys Res Commun. 2003; 302(3):442-7. DOI: 10.1016/s0006-291x(03)00116-5. View

5.
Sassetti C, Boyd D, Rubin E . Genes required for mycobacterial growth defined by high density mutagenesis. Mol Microbiol. 2003; 48(1):77-84. DOI: 10.1046/j.1365-2958.2003.03425.x. View