Understanding the role of PezAT and MbcTA toxin-antitoxin systems in the pathophysiology of Mycobacterium tuberculosis

Toxin antitoxin (TA) systems are bicistronic genetic elements encoding for a stable toxin and its cognate labile antitoxin. The genome of Mycobacterium tuberculosis (M. tuberculosis) encodes a large repertoire of TA systems and these are highly conserved in members of the M. tuberculosis complex. In the present study, we have characterised PezAT and MbcTA TA systems from M. tuberculosis. We show that the transcript levels of toxins and antitoxins belonging to PezAT and MbcTA were increased in M. tuberculosis exposed to oxidative stress, nitrosative stress and rifampicin. We also show that the relative levels of precursors for the peptidoglycan biosynthesis were increased in the PezT overexpression strain of M. smegmatis relative to uninduced cultures. Here, we have used temperature-sensitive mycobacteriophages to generate ΔpezAT and ΔmbcT mutant strains of M. tuberculosis. We demonstrate that the deletion of pezAT reduced the growth of M. tuberculosis upon exposure to detergent stress or rifampicin. However, the deletion of mbcT does not affect M. tuberculosis growth in various stress conditions. We also report that both PezAT and MbcT are dispensable for M. tuberculosis growth in macrophages and guinea pigs. Overall, these findings suggest that functional redundancy exists between TA systems.

Authors

Institutions

Publication Details

Journal
Tuberculosis
Published
2025-10-23
DOI
https://doi.org/10.1016/j.tube.2025.102703
Primary Topic
Tuberculosis Research and Epidemiology
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Understanding the role of PezAT and MbcTA toxin-antitoxin systems in the pathophysiology of Mycobacterium tuberculosis

Yashwant Kumar, Imran Ahmad, Deepika Chaudhary, Manisha Singh et al.
Tuberculosis
Tuberculosis Research and Epidemiology
article

Understanding the role of PezAT and MbcTA toxin-antitoxin systems in the pathophysiology of Mycobacterium tuberculosis

Yashwant Kumar, Imran Ahmad, Deepika Chaudhary, Manisha Singh, Ramandeep Singh, Arun Kumar Sharma, Sonu Kumar Gupta
article en

Abstract

Toxin antitoxin (TA) systems are bicistronic genetic elements encoding for a stable toxin and its cognate labile antitoxin. The genome of Mycobacterium tuberculosis (M. tuberculosis) encodes a large repertoire of TA systems and these are highly conserved in members of the M. tuberculosis complex. In the present study, we have characterised PezAT and MbcTA TA systems from M. tuberculosis. We show that the transcript levels of toxins and antitoxins belonging to PezAT and MbcTA were increased in M. tuberculosis exposed to oxidative stress, nitrosative stress and rifampicin. We also show that the relative levels of precursors for the peptidoglycan biosynthesis were increased in the PezT overexpression strain of M. smegmatis relative to uninduced cultures. Here, we have used temperature-sensitive mycobacteriophages to generate ΔpezAT and ΔmbcT mutant strains of M. tuberculosis. We demonstrate that the deletion of pezAT reduced the growth of M. tuberculosis upon exposure to detergent stress or rifampicin. However, the deletion of mbcT does not affect M. tuberculosis growth in various stress conditions. We also report that both PezAT and MbcT are dispensable for M. tuberculosis growth in macrophages and guinea pigs. Overall, these findings suggest that functional redundancy exists between TA systems.

TuberculosisVol. 155
Translational Health Science and Technology Institute (IN)
Openalex Percentile: Top 64%
Tuberculosis Research and Epidemiology
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.