Genetic diversity, transmission dynamics and drug resistance of Mycobacterium tuberculosis in Angola

The already enormous burden caused by Mycobacterium tuberculosis and Human Immunodeficiency Virus type 1 (HIV-1) alone is aggravated by co-infection. Despite obvious differences in the rate of evolution comparing these two human pathogens, genetic diversity plays an important role in the success of both. The extreme evolutionary dynamics of HIV-1 is in the basis of a robust capacity to evade immune responses, to generate drug-resistance and to diversify the population-level reservoir of M group viral subtypes. Compared to HIV-1 and other retroviruses, M. tuberculosis generates minute levels of genetic diversity within the host. However, emerging whole-genome sequencing data show that the M. tuberculosis complex contains at least nine human-adapted phylogenetic lineages. This level of genetic diversity results in differences in M. tuberculosis interactions with the host immune system, virulence and drug resistance propensity. In co-infected individuals, HIV-1 and M. tuberculosis are likely to co-colonize host cells. However, the evolutionary impact of the interaction between the host, the slowly evolving M. tuberculosis bacteria and the HIV-1 viral “mutant cloud” is poorly understood. These evolutionary dynamics, at the cellular niche of monocytes/macrophages, are also discussed and proposed as a relevant future research topic in the context of single-cell sequencing.

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Genotypes of Mycobacterium tuberculosis isolates circulating in Shaanxi Province, China

PLoS ONE ◽

10.1371/journal.pone.0242971 ◽

2020 ◽

Vol 15 (12) ◽

pp. e0242971

Author(s):

Yan Li ◽

Yu Pang ◽

Tianhua Zhang ◽

Xiaoping Xian ◽

Jian Yang ◽

...

Keyword(s):

Genetic Diversity ◽

Drug Resistance ◽

Mycobacterium Tuberculosis ◽

Multidrug Resistant ◽

Shaanxi Province ◽

Drug Resistant ◽

Beijing Family ◽

Tuberculosis Patients ◽

Smear Positive Pulmonary Tuberculosis ◽

Discriminatory Index

Objectives The prevalence of drug-resistant TB in Shaanxi Province is higher than other areas. This study was aimed to investigate the genetic diversity and epidemiology of Mycobacterium tuberculosis clinical strains in Shaanxi Province, China. Methods From January to December 2016, a total of 298 Mycobacterium tuberculosis clinical isolates from smear-positive pulmonary tuberculosis patients were genotyped by Mcspoligotyping and 15-locus VNTR. Results We found that the Beijing family strains was the most prominent family(81.54%, 243/298). Other family strains included T family(9.06%, 27/298), U family(0.67%, 2/298), LAM9 family(0.34%, 1/298) and Manu family(0.34%, 1/298). The rates of multidrug-resistant (MDR) M.Tuberculosis, age, type of case and education between Beijing and non-Beijing family strains were not statistically different, while the distribution in the three different regions among these was statistically significant. VNTR results showed that strains were classified into 280 genotypes, and 33 (11.07%) strains could be grouped into 14 clusters. 11 of the 15-VNTR loci were highly or moderately discriminative according to the Hunter-Gaston discriminatory index. Conclusions We concluded that the Beijing family genotype was the most prevalent genotype and 15-locus VNTR typing might be suitable for genotyping of M. tuberculosis in Shaanxi Province. There was less association between Beijing family genotypes and drug resistance in our study area.

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Genetic diversity and drug resistance pattern of Mycobacterium tuberculosis strains isolated from pulmonary tuberculosis patients in the Benishangul Gumuz region and its surroundings, Northwest Ethiopia

PLoS ONE ◽

10.1371/journal.pone.0231320 ◽

2020 ◽

Vol 15 (4) ◽

pp. e0231320

Author(s):

Tekle Airgecho Lobie ◽

Yimtubezinash Woldeamanuel ◽

Daniel Asrat ◽

Demissew Beyene ◽

Magnar Bjørås ◽

...

Keyword(s):

Genetic Diversity ◽

Drug Resistance ◽

Mycobacterium Tuberculosis ◽

Pulmonary Tuberculosis ◽

Northwest Ethiopia ◽

Resistance Pattern ◽

Tuberculosis Patients ◽

Drug Resistance Pattern ◽

Benishangul Gumuz Region

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Genetic diversity, population structure and drug resistance of Mycobacterium tuberculosis in Peru

Infection Genetics and Evolution ◽

10.1016/j.meegid.2012.02.002 ◽

2012 ◽

Vol 12 (3) ◽

pp. 577-585 ◽

Cited By ~ 24

Author(s):

C.A. Taype ◽

J.C. Agapito ◽

R.A. Accinelli ◽

J.R. Espinoza ◽

S. Godreuil ◽

...

Keyword(s):

Genetic Diversity ◽

Drug Resistance ◽

Mycobacterium Tuberculosis ◽

Population Structure

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Mapping Mycobacterium tuberculosis genetic diversity and associated drug resistance in the Gulf of Guinea – Africa

International Journal of Mycobacteriology ◽

10.4103/2212-5531.307130 ◽

2021 ◽

Vol 9 (5) ◽

pp. 77

Author(s):

BenjaminD Thumamo Pokam ◽

D Yeboah-Manu ◽

L Lawson ◽

PW Guemdjom ◽

PM Teyim ◽

...

Keyword(s):

Genetic Diversity ◽

Drug Resistance ◽

Mycobacterium Tuberculosis ◽

Gulf Of Guinea

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Genetic Diversity and Drug Resistance of Mycobacterium tuberculosis Complex Isolates and Nontuberculous Mycobacteria Identification from Presumptive Tuberculosis Cases in Oaxaca, Mexico

American Journal of Infectious Diseases ◽

10.3844/ajidsp.2020.7.19 ◽

2020 ◽

Vol 16 (1) ◽

pp. 7-19

Author(s):

Nakamura-Lopez Yuko ◽

Valencia-Carmona Oscar Daniel ◽

Martinez-Cruz Perla Monica ◽

Palma-Nicolas Jose Prisco ◽

Gonzalez-y-Merchand Jorge Alberto ◽

...

Keyword(s):

Genetic Diversity ◽

Drug Resistance ◽

Mycobacterium Tuberculosis ◽

Mycobacterium Tuberculosis Complex ◽

Nontuberculous Mycobacteria ◽

Tuberculosis Complex

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Drug resistance and molecular epidemiology of Mycobacterium tuberculosis in Mexico: A systematic review

Salud Pública de México ◽

10.21149/spm.v56i1.7324 ◽

2014 ◽

Vol 56 (1) ◽

pp. 63 ◽

Cited By ~ 15

Author(s):

Samantha Flores-Treviño ◽

Soraya Mendoza-Olazarán ◽

Elvira Garza-González

Keyword(s):

Systematic Review ◽

Genetic Diversity ◽

Drug Resistance ◽

Mycobacterium Tuberculosis ◽

Resistance Mutation ◽

Beijing Genotype ◽

Inclusion Criteria ◽

Novel Mutations ◽

Search Terms ◽

Frequent Mutations

Objective. To compare drug resistance (DR) rates and genetic diversity of Mycobacterium tuberculosis strains from different states of Mexico. Materials and methods. A systematic review of English and Spanish-language articles using MEDLINE and Google Scholar. Search terms included Mycobacterium tuberculosis, Mexico, resistance, mutation and epidemiology. Results. Fifteen studies for phenotypic DR rates (n=2 694), twelve studies for genotypic DR (n=748) and eleven studies for genetic diversity (n=2 044) met our inclusion criteria. Mean DR and multidrug resistance (MDR) rates were 37.5% and 20.6%, respectively. The most frequent mutations were rpoB531 (53.1%), katG315 (50.6%), embB306 (32.1%), rpsL43 (14.6%) and pncA359 (16.7%) in DR strains. Novel mutations were found. Predominant shared types were SIT53 (T1, n=188, 3.9%), SIT119 (X1, n=125, 6.9%), SIT19 (EAI2-Manila, n=80, 6.3%) and SIT42 (LAM9, n=77, 3.0%). SIT1 Beijing genotype has been reported in six states from Mexico. Conclusions. DR and MDR rates continue to increase. Genetic diversity of M. tuberculosis strains in Mexico is high. Reports of Beijing strains are increasing.

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Polymorphisms in Isoniazid and Prothionamide Resistance Genes of the Mycobacterium tuberculosis Complex

Antimicrobial Agents and Chemotherapy ◽

10.1128/aac.00555-11 ◽

2011 ◽

Vol 55 (9) ◽

pp. 4408-4411 ◽

Cited By ~ 11

Author(s):

Michaela Projahn ◽

Claudio U. Köser ◽

Susanne Homolka ◽

David K. Summers ◽

John A. C. Archer ◽

...

Keyword(s):

Genetic Diversity ◽

Drug Resistance ◽

Mycobacterium Tuberculosis ◽

Resistance Genes ◽

Mycobacterium Tuberculosis Complex ◽

Tuberculosis Complex ◽

Sequence Analyses ◽

Content Type ◽

Molecular Tests ◽

Phylogenetic Lineages

ABSTRACTSequence analyses of 74 strains that encompassed major phylogenetic lineages of theMycobacterium tuberculosiscomplex revealed 10 polymorphisms inmshA(Rv0486) and four polymorphisms ininhA(Rv1484) that were not responsible for isoniazid or prothionamide resistance. Instead, some of these mutations were phylogenetically informative. This genetic diversity must be taken into consideration for drug development and for the design of molecular tests for drug resistance.

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