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Phenotypic and genotypic analysis of drug resistance in M. tuberculosis isolates in Gansu, China

Cite this dataset

Zhong, Jia (2024). Phenotypic and genotypic analysis of drug resistance in M. tuberculosis isolates in Gansu, China [Dataset]. Dryad. https://doi.org/10.5061/dryad.r4xgxd2np

Abstract

Tuberculosis has posed a serious threat to human health. It is imperative to investigate the geographic prevalence of tuberculosis and medication resistance, as this information is essential for informing strategies for its prevention and treatment. Drug resistance was identified using a proportion method. Drug-resistant genes and pathways were predicted using whole genome sequencing. The drug resistance range of bedaquiline was identified using the microporous plate two-fold dilution method, and drug resistance genes were studied using sequencing. The study revealed that 19.99% of the tuberculosis cases had multidrug resistance. The genes of M. tuberculosis are predominantly involved in the synthesis of ABC transporters, two-component systems, and bacterial secretion systems, as well as in energy production and conversion, and lipid transport and metabolism. The genes encode for 82.45% of carbohydrate-related enzymes such as glycoside hydrolases, glycosyl transferases, and carbohydrate esterases. The minimum inhibitory concentration (MIC) of bedaquiline against clinical strains was approximately 0.06 μg/mL, with identified mutations in drug-resistant genes Rv0678, atpE, and pepQ, specifically V152A, P62A, and T222N, respectively. The multidrug resistance tuberculosis development was attributed to the strong medication resistance exhibited. It was concluded that tuberculosis had presented a high level of drug resistance. Phenotypic resistance was related to genes, existing potential genetic resistance in M. tuberculosis. Bedaquiline was found to possess effective antibacterial properties against M. tuberculosis.

README: Phenotypic and genotypic analysis of drug resistance in M. tuberculosis isolates in Gansu, China

(https://doi.org/10.5061/dryad.r4xgxd2np

Complete genome sequence of Mycobacterium tuberculosis,to identify resistance loci, resistance genes and pathways were predicted using whole-genome sequencing, and to identify mutation sites, we performed sequencing.

## wgs-tb-1: whole genome sequence

## Sharing/Access information

Data was derived from the following sources:

(Beijing Biomarker Technologies Co., LTD)

## Code/Software

Any sequence analysis software can be run.

Funding

Natural Science Foundation of Gansu Province, Award: 18JR3RA417