Literature DB >> 28224727

Molecular identification and distribution of non-tuberculous mycobacteria isolated from clinical specimens by PCR-sequencing method in West of Iran.

Mahsa Dastranj1, Abbas Farahani2, Abdolrazagh Hashemi Shahraki3, Sara Atashi4, Parviz Mohajeri5.   

Abstract

BACKGROUND AND AIMS: Infections by non-tuberculous mycobacteria (NTM) has rapidly increased in recent years, due to high infection rates related to the populations at risk like immunocompromised individuals, patients predisposed by prior pulmonary. The aim of this study was to investigate the presence of NTM in clinical samples and genetic diversity using 16S rRNA and rpoB sequence analysis.
METHODS: A cross-sectional study was conducted on 45 diverse isolates collected from sputum in 2 years 2014-2015 using standard decontamination procedure. All mycobacterial isolates were grown on LJ medium and also conventional tests for preliminary identification of mycobacteria rely on traits and then DNA extraction. PCR was performed, and sequencing of 16S rRNA and rpoB genes was applied for NTM strains identification.
RESULTS: A total of 45 isolates collected, 37 samples (83%) were evaluated as NTM. All NTM strains using molecular methods by sequencing 16S rRNA and rpoB gene were identified, by this way 12 different species have been identified which sequencing of rpoB was able to identify all species. The major species obtained were Mycobacterium simiae (22%), M. fortuitum (19%), and M. abscessus (13%).
CONCLUSIONS: The results of our study showed that the patients were infected by a wide range of atypical mycobacteria. It was concluded that 16S rRNA gene sequencing coupled with rpoB marker is a high discriminatory power in identification of NTM. The presence of various species in clinical samples in Iran emphasizes the use of molecular method like sequence analysis of genes is necessary for reliable identification.
© 2017 John Wiley & Sons Ltd.

Entities:  

Keywords:  clinical samples; molecular identification; non-tuberculous mycobacteria; polymerase chain reaction

Mesh:

Substances:

Year:  2017        PMID: 28224727     DOI: 10.1111/crj.12617

Source DB:  PubMed          Journal:  Clin Respir J        ISSN: 1752-6981            Impact factor:   2.570


  7 in total

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  7 in total

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