Volume 4, Issue 4 (winter 2018)                   jhbmi 2018, 4(4): 305-312 | Back to browse issues page

XML Persian Abstract Print


Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Keikha M. Phylogenetic Analysis of Nocardia spp. using 16S rRNA, hsp65 and gyrB Genes. jhbmi 2018; 4 (4) :305-312
URL: http://jhbmi.ir/article-1-189-en.html
M.Sc. student in Microbiology, Isfahan University of Medical Sciences, Isfahan, Iran.
Abstract:   (5215 Views)
Introduction: Nocardia is one of the most important aerobic actinomycetes that lives in soil and can enter the human body by inhalation and traumatic inoculation and causes Nocardiosis. Molecular methods are one of the best methods for rapid and accurate identification and differentiation of species of this group of bacteria. The purpose of this study was evaluation of three housekeeping genes in identification and differentiation of most important species of Nocardia.
Methods: In this study cross-sectional, first, gene sequences of 16S rRNA, gyrB and hsp65 for ten species of Nocardia were obtained from Genebank (NCBI). Then, those sequences were transferred to MEGA 5.0. Finally, phylogenetic trees based on each of 16S rRNA, gyrB and hsp65 genes were drawn.
Results: Phylogenetic trees analysis based on 16S rRNA, gyrB and hsp65 gene sequences indicated that all of these genes could identify and differentiate Nocardia species. Also, it was found that gyrB gene is the best option for drawing the phylogenetic relationships of Nocardia species.
Conclusion: According to this research, for accurate identification of Nocardia species, several housekeeping genes should be investigated simultaneously.
 
Full-Text [PDF 570 kb]   (2428 Downloads)    
Type of Study: Original Article | Subject: Special
Received: 2017/05/27 | Accepted: 2018/05/24

Add your comments about this article : Your username or Email:
CAPTCHA

Send email to the article author


Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

© 2024 CC BY-NC 4.0 | Journal of Health and Biomedical Informatics

Designed & Developed by : Yektaweb