Bioinformatics Study of Housekeeping Genes in the Differentiation of Rapidly Growing Mycobacteria

keikha, masoud (2017) Bioinformatics Study of Housekeeping Genes in the Differentiation of Rapidly Growing Mycobacteria. Navid No, 20 (63). pp. 20-27.

[img] Text
NNJ_Volume 20_Issue 63_Pages 20-27.pdf

Download (364kB)
Official URL: http://nnj.mums.ac.ir/article_10961.html

Abstract

Introduction: Rapidly growing mycobacteria (RGM) capable of producing the pulmonary, lymph node, skin, soft tissue disease in humans. We can identification of these group of bacteria based on housekeeping genes. The objective of this study was to comparison and evaluation of three housekeeping gene in identification and classification of some Rapidly-growing mycobacteria using phylogenic tree. Materials and Methods: For this study first, The16S rRNA, hsp65 and rpoB gene sequence of ten species of rapid growing mycobacteria from NCBI, RDP and EMBL database obtained. Then this sequences are Aligned by Custal W and phylogenic tree were draw using MEGA5.0. Results: Pattern recognition and classification of each genes was different. 16s rRNA gene was not able to differentiate of pathogenic rapid growing mycobacteria such as: Mycobacterium abscessus and chelonae. Generally rpoB gene compared with other genes was better performed but in identification of Mycobacterium novocastrense was failed. Conclusion: For accesses to Complete and correct identification of RGM should all three genes, 16S rRNA, rpoB and hsp65 to be studied simultaneously.

Item Type: Article
Subjects: QW Microbiology and Immunology
Divisions: Journals > Navid No
Depositing User: nnj nnj
Date Deposited: 02 Jul 2018 06:48
Last Modified: 02 Jul 2018 06:48
URI: http://eprints.mums.ac.ir/id/eprint/9886

Actions (login required)

View Item View Item