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Enhancing the differentiation of specific genotypes in Mycobacterium tuberculosis population

Today, significant attention is directed towards the global lineages and sublineages of Mycobacterium tuberculosis (Mtb). NEW-1 (SIT 127) and CAS1-Delhi (SIT 26) strains are recognized as growing and circulating Mtb genotypes, especially in Asian countries. It is crucial to develop or enhance Mtb ge...

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Detalles Bibliográficos
Autores principales: Hadifar, Shima, Kamakoli, Mansour Kargarpour, Fateh, Abolfazl, Siadat, Seyed Davar, Vaziri, Farzam
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6884525/
https://www.ncbi.nlm.nih.gov/pubmed/31784605
http://dx.doi.org/10.1038/s41598-019-54393-7
Descripción
Sumario:Today, significant attention is directed towards the global lineages and sublineages of Mycobacterium tuberculosis (Mtb). NEW-1 (SIT 127) and CAS1-Delhi (SIT 26) strains are recognized as growing and circulating Mtb genotypes, especially in Asian countries. It is crucial to develop or enhance Mtb genotyping methods for a more accurate and simple differentiation of these families. We used 24-loci mycobacterial interspersed repetitive unit-variable number tandem repeat (MIRU-VNTR) typing for genotyping 217 Mtb isolates. To select the optimal MIRU-VNTR loci, we calculated the Hunter-Gaston discriminatory index (HGDI), allelic diversity, and accumulation of percentage differences (APDs) between the strains among different groups of genotypes (NEW-1 and non-NEW-1; CAS1-Delhi and non-CAS). Finally, the minimum spanning tree was constructed for clustering analysis. In the NEW-1 population, loci with APD > 60% were found to have a high discriminatory power. VNTR loci with APD > 50% showed high discrimination power for the CAS population. Our findings suggest that APDs, which are valuable for the selection of VNTR loci sets, may improve the discriminatory power of MIRU-VNTR typing for identification of Mtb genotypes in specific regions.