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Identification of novel genetic markers in Mycobacterium tuberculosis Beijing genotype strains / 中华传染病杂志
Chinese Journal of Infectious Diseases ; (12)2007.
Article in Chinese | WPRIM | ID: wpr-680044
ABSTRACT
Objective To identify a unique protein as a novel genetic marker for rapid molecular typing of Mycobacteriutn tuberculosis Beijing genotype strains by comparing the proteome of Beijing genotype strains with non-Beijing strains.Methods Fifty-six clinical isolates of Mycobacterium tuber- culosis were analyzed by spoligotyping to determine genotypes.The two-dimensional electrophoresis (2 DE)was used to compare the global protein patterns between Beijing genotype strains and non Bei jing strains.Differential expressed proteins were measured by matrix assisted laser desorption ioniza tion lime of flight mass spectrometry(MALDI-TOF-MS).The data obtained from peptide mass fingerprinting were compared in protein database.The genes encoding differential expressed proteins and their upstream were sequenced.Results Forty nine of the 56 isolates were Beijing genotype strains and 7 isolates were non-Beijing strains.A unique protein Rv0927c was identified,which is absent in Beijing genotype strains compared with 7 non Beijing strains and H37Rv.There were two characteristic mutations in Beijing genotype strains,a deletion of AGC at nucleotide position 421 of Rv0927c and a 127 G→A muta- tion in the upstream of Rv0927c.but not in non Beijing strains and H37Rv.Conclusion Characteris tic mutations of Rv0927c in Beijing genotype strains can be used as a novel genetic marker for rapid molecular typing of Mycobacteriuln tuberculosis Beijing genotype strains and non Beijing strains.

Full text: Available Index: WPRIM (Western Pacific) Type of study: Diagnostic study / Prognostic study Language: Chinese Journal: Chinese Journal of Infectious Diseases Year: 2007 Type: Article

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Full text: Available Index: WPRIM (Western Pacific) Type of study: Diagnostic study / Prognostic study Language: Chinese Journal: Chinese Journal of Infectious Diseases Year: 2007 Type: Article