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Novel Toxin-antitoxin System Xn-mazEF from Xenorhabdus nematophila: Identification, Characterization and Functional Exploration.

Authors :
Nim JS
Yadav M
Gautam LK
Ghosh C
Sahi S
Rathore JS
Source :
Current computer-aided drug design [Curr Comput Aided Drug Des] 2021; Vol. 17 (3), pp. 402-411.
Publication Year :
2021

Abstract

Background: Xenorhabdus nematophila maintains species-specific mutual interaction with nematodes of Steinernema genus. Type II Toxin Antitoxin (TA) systems, the mazEF TA system controls stress and programmed cell death in bacteria.<br />Objective: This study elucidates the functional characterization of Xn-mazEF, a mazEF homolog in X. nematophila by computational and in vitro approaches.<br />Methods: 3D- structural models for Xn-MazE toxin and Xn-MazF antitoxin were generated, validated and characterized for protein - RNA interaction analysis. Further biological and cellular functions of Xn-MazF toxin were also predicted. Molecular dynamics simulations of 50ns for Xn- MazF toxin complexed with nucleic acid units (DU, RU, RC, and RU) were performed. The MazF toxin and complete MazEF operon were endogenously expressed and monitored for the killing of Escherichia coli host cells under arabinose induced tightly regulated system.<br />Results: Upon induction, E. coli expressing toxin showed rapid killing within four hours and attained up to 65% growth inhibition, while the expression of the entire operon did not show significant killing. The observation suggests that the Xn-mazEF TA system control transcriptional regulation in X. nematophila and helps to manage stress or cause toxicity leading to programmed death of cells.<br />Conclusion: The study provides insights into structural and functional features of novel toxin, Xn- MazF and provides an initial inference on control of X. nematophila growth regulated by TA systems.<br /> (Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.net.)

Details

Language :
English
ISSN :
1875-6697
Volume :
17
Issue :
3
Database :
MEDLINE
Journal :
Current computer-aided drug design
Publication Type :
Academic Journal
Accession number :
32586257
Full Text :
https://doi.org/10.2174/1573409916666200625135850