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Molecular Identification of Rare Clinical Mycobacteria by Application of 16S-23S Spacer Region Sequencing

OBJECTIVE(S): In addition to several molecular methods and in particular 16S rDNA analysis, the application of a more discriminatory genetic marker, i.e., 16S-23S internal transcribed spacer gene sequence has had a great impact on identification and classification of mycobacteria. In the current stu...

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Autores principales: Shojaei, Hasan, Abodolrazagh, Hashemi, Heidarieh, Parvin, Pourahmad, Fazel, Daei Naser, Daei Naser
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Mashhad University of Medical Sciences 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3586870/
https://www.ncbi.nlm.nih.gov/pubmed/23493089
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author Shojaei, Hasan
Abodolrazagh, Hashemi
Heidarieh, Parvin
Pourahmad, Fazel
Daei Naser, Daei Naser
author_facet Shojaei, Hasan
Abodolrazagh, Hashemi
Heidarieh, Parvin
Pourahmad, Fazel
Daei Naser, Daei Naser
author_sort Shojaei, Hasan
collection PubMed
description OBJECTIVE(S): In addition to several molecular methods and in particular 16S rDNA analysis, the application of a more discriminatory genetic marker, i.e., 16S-23S internal transcribed spacer gene sequence has had a great impact on identification and classification of mycobacteria. In the current study we aimed to apply this sequencing power to conclusive identification of some Iranian clinical strains of mycobacteria. MATERIALS AND METHODS: The test strains consisted of nineteen mycobacterial isolates which were initially identified by the use of conventional phenotypic techniques and molecular methods and subjected to further definitive identification using the 16S-23S internal transcribed spacer gene sequencing. RESULTS: Out of 19 studied strains, 7 isolates were found to be rapidly growing and 12 isolates as slowly growing mycobacteria. With the exception of one isolate, i.e., the isolate HNTM87, which yielded a distinct ITS sequence incomparable with all previously identified mycobacteria, the remaining isolates produced the sequences similar to the established mycobacteria and were clearly identified and differentiated from closely related taxa. A phylogenetic tree based on maximum parsimony analysis of 16S-23S internal transcribed spacer gene sequences constructed showing the relatedness of Iranian clinical isolates with the closely related type species of mycobacteria. CONCLUSION: This study showed that the 16S-23S internal transcribed spacer gene of the genus Mycobacterium exhibits a high variation which is of value for discriminating closely related taxa and could be used independently or in combination with 16S rDNA sequencing to delineate the true identity of rare mycobacterial species.
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spelling pubmed-35868702013-03-14 Molecular Identification of Rare Clinical Mycobacteria by Application of 16S-23S Spacer Region Sequencing Shojaei, Hasan Abodolrazagh, Hashemi Heidarieh, Parvin Pourahmad, Fazel Daei Naser, Daei Naser Iran J Basic Med Sci Original Article OBJECTIVE(S): In addition to several molecular methods and in particular 16S rDNA analysis, the application of a more discriminatory genetic marker, i.e., 16S-23S internal transcribed spacer gene sequence has had a great impact on identification and classification of mycobacteria. In the current study we aimed to apply this sequencing power to conclusive identification of some Iranian clinical strains of mycobacteria. MATERIALS AND METHODS: The test strains consisted of nineteen mycobacterial isolates which were initially identified by the use of conventional phenotypic techniques and molecular methods and subjected to further definitive identification using the 16S-23S internal transcribed spacer gene sequencing. RESULTS: Out of 19 studied strains, 7 isolates were found to be rapidly growing and 12 isolates as slowly growing mycobacteria. With the exception of one isolate, i.e., the isolate HNTM87, which yielded a distinct ITS sequence incomparable with all previously identified mycobacteria, the remaining isolates produced the sequences similar to the established mycobacteria and were clearly identified and differentiated from closely related taxa. A phylogenetic tree based on maximum parsimony analysis of 16S-23S internal transcribed spacer gene sequences constructed showing the relatedness of Iranian clinical isolates with the closely related type species of mycobacteria. CONCLUSION: This study showed that the 16S-23S internal transcribed spacer gene of the genus Mycobacterium exhibits a high variation which is of value for discriminating closely related taxa and could be used independently or in combination with 16S rDNA sequencing to delineate the true identity of rare mycobacterial species. Mashhad University of Medical Sciences 2012 /pmc/articles/PMC3586870/ /pubmed/23493089 Text en © 2012: Iranian Journal of Basic Medical Sciences This is an Open Access article distributed under the terms of the Creative Commons Attribution License, (http://creativecommons.org/licenses/by/3.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Shojaei, Hasan
Abodolrazagh, Hashemi
Heidarieh, Parvin
Pourahmad, Fazel
Daei Naser, Daei Naser
Molecular Identification of Rare Clinical Mycobacteria by Application of 16S-23S Spacer Region Sequencing
title Molecular Identification of Rare Clinical Mycobacteria by Application of 16S-23S Spacer Region Sequencing
title_full Molecular Identification of Rare Clinical Mycobacteria by Application of 16S-23S Spacer Region Sequencing
title_fullStr Molecular Identification of Rare Clinical Mycobacteria by Application of 16S-23S Spacer Region Sequencing
title_full_unstemmed Molecular Identification of Rare Clinical Mycobacteria by Application of 16S-23S Spacer Region Sequencing
title_short Molecular Identification of Rare Clinical Mycobacteria by Application of 16S-23S Spacer Region Sequencing
title_sort molecular identification of rare clinical mycobacteria by application of 16s-23s spacer region sequencing
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3586870/
https://www.ncbi.nlm.nih.gov/pubmed/23493089
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