Identification of drug resistance-related virulence gene mutations in 667 clinical Mycobacterium tuberculosis isolates
DOI:
https://doi.org/10.3855/jidc.18081Keywords:
Mycobacterium tuberculosis, virulence genes, drug resistance, correlation evaluationsAbstract
Introduction: Drug-resistant tuberculosis is a severe global public health threat. Virulence factors and antibiotic resistance are generally considered to play a significant role in bacterial pathogenesis. However, the interaction between resistance and virulence in Mycobacterium tuberculosis (MTB) remains unclear.
Methodology: Here, we used whole genome sequences from 667 MTB isolates from 14 countries to complete an in silico evaluation of the correlations between virulence gene mutations, drug resistance, and lineage classification. The chi-square (χ2) test was used to determine whether specific virulence gene mutations and drug resistance were related.
Results: Our results showed that Mce1R_G171R and Pks15_V333A, were positively correlated with streptomycin and ethambutol resistance, respectively, and Pks15_T46I was correlated with isoniazid, rifampin, ethambutol, pyrazinamide and streptomycin resistance. We also identified an additional 24 and 40 single nucleotide polymorphisms as well as 6 and 2 insertions or deletions in various virulence genes that are likely to be associated with changes in drug susceptibility in L2 and L4, respectively.
Conclusions: Taken together our data suggest that there may be some degree of co-selection between virulence and resistance factors, which may help MTB more easily adapt to new environments.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2024 Yu Zhang, Xinchang Chen, Shiyong Wang, Ning Jiang, Lingyun Shao, jiazhen chen

This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).
Funding data
-
National Science and Technology Major Project
Grant numbers 2017ZX10302301-001 -
National Natural Science Foundation of China
Grant numbers 81761148027

