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Insight into population structure of Mycobacterium tuberculosis isolates in the multiethnic province of Alborz, Iran.
Farnad, Morassa Sadat; Momtaz, Hassan; Mosavari, Nader; Khosravi, Yahya; Tadayon, Keyvan.
Afiliación
  • Farnad MS; Department of Microbiology, Shahrekord Branch, Islamic Azad University, Sharekord, Iran.
  • Momtaz H; Department of Microbiology, Shahrekord Branch, Islamic Azad University, Sharekord, Iran.
  • Mosavari N; Department of Tuberculin & Mallein, Razi Vaccine & Serum Research Institute, Agricultural Research, Education and Extension Organization (AREEO), Karaj, Iran.
  • Khosravi Y; Department of Occupational Health and Safety Engineering, Non-communicable Diseases, Research Center, Alborz University of Medical Sciences, Karaj, Iran.
  • Tadayon K; Department of Microbiology, Shahrekord Branch, Islamic Azad University, Sharekord, Iran.
Iran J Microbiol ; 13(1): 58-64, 2021 Feb.
Article en En | MEDLINE | ID: mdl-33889363
BACKGROUND AND OBJECTIVES: Genetic diversity of Mycobacterium tuberculosis clinical isolates from tuberculosis patients in the multiethnic province of Alborz, Iran was assessed. MATERIALS AND METHODS: A total of 17 isolates in the period of 2012-2013 were collected and subjected to a Multiple-locus variable-number tandem repeat (VNTR) analysis (MLVA) consisted of 6 variable numbers of tandem repeats (VNTRs) including ETR-A, ETR-B, ETR-C, ElTR-D, ETR-E, ETR-F, 5 Mycobacterial Interspersed Repetitive Units including MIRU10, MIRU16, MIRU26, MIRU39, MIRU40, and 1 Queen University of Belfast locus, QUB11. RESULTS: This classified all isolates into 17 distinct MIRU-VNTR types, a reflection of a highly heterogenic population. Within the 12 used VNTR loci, ten proved highly or moderately discriminant according to the calculated HGDI scores. No cluster of isolates was identified in the study panel, giving a clustering rate of 0%, several events of SVL (N=5) and DVL (N=4) and TVL (N=3) were detected. CONCLUSION: The greater heterogeneity observed here by MLVA-VNTR analysis is most likely due to limited background data in the study region rather than a genuine more heterogeneous population compared to other provinces of the country.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Contexto en salud: 3_ND Problema de salud: 3_neglected_diseases / 3_tuberculosis Tipo de estudio: Prognostic_studies Idioma: En Revista: Iran J Microbiol Año: 2021 Tipo del documento: Article País de afiliación: Irán

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Contexto en salud: 3_ND Problema de salud: 3_neglected_diseases / 3_tuberculosis Tipo de estudio: Prognostic_studies Idioma: En Revista: Iran J Microbiol Año: 2021 Tipo del documento: Article País de afiliación: Irán
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