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Yi Jiang, Hai-Can Liu,
Huajun Zheng,
Xiangfeng Dou,
Biao Tang,
Xiu-Qin Zhao,
Yongqiang Zhu,
Bing Lu,
Shengyue Wang,
Hai-Yan Dong,
Yuan-Yuan Zhang,
Guoping Zhao,
Kanglin Wan
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ABSTRACT: Recently, tandem repeat typing has emerged as a rapid and easy method for the molecular epidemiology of the Mycobacterium tuberculosis (M. tuberculosis) complex. In this study, a collection of 19 VNTRs incorporating 15 previously described loci and 4 newly evaluated markers were used to genotype 206 Chinese M. tuberculosis isolates and 9 BCG strains. The discriminatory power was evaluated and compared with that obtained by Spoligotyping. It turned out that 15-locus VNTR could be very useful in M. tuberculosis complex strains genotyping in China. The 4 newly evaluated loci were proved informative and could be useful for future epidemiology studies, especially in Beijing family strains. In addition, a unique pattern of the latter 4 loci were found in Chinese BCG strains.
Journal of Basic Microbiology 01/2013; · 1.27 Impact Factor
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ABSTRACT: Tuberculosis remains one of the most serious infectious diseases in the world. In this study, a scheme of Mycobacterium tuberculosis (M. tuberculosis) multilocus sequence analysis (MLSA) was established for the phylogenetic and epidemiology analysis.
To establish the scheme of M. tuberculosis MLSA, the genome of H37Rv, CCDC5079 and CCDC5180 were compared, and some variable genes were chosen to be the MLSA typing scheme. 44 M. tuberculosis clinical isolates were typed by MLSA, IS6110-RFLP, and soligotyping, to evaluate the MLSA methods.
After comparison of the genome, seven high discrimination gene loci (recX, rpsL, rmlC, rpmG1, mprA, gcvH, ideR) were chosen to be the MLSA typing scheme finally. 11 variable SNP sites of those seven genes were found among the 44 M. tuberculosis isolate strains and 11 sequence types (STs) were identified. Based on the Hunter-Gaston Index (HGI), MLSA typing was not as good for discrimination at the strain level as IS6110-RFLP, but the HGI was much better than that of spoligotyping. In addition, the MEGA analysis result of MLSA data was similar to spoligotyping/PGG lineage, showing a strong phylogenetic signal in the modern strains of M. tuberculosis. The MLSA data analysis by eBURST revealed that 4 sequence types (ST) came into a main cluster, showing the major clonal complexes in those 44 strains.
MLSA genotyping not only can be used for molecular typing, but also is an ideal method for the phylogenetic analysis for M. tuberculosis.
Biomedical and Environmental Sciences 12/2012; 25(6):620-9. · 1.35 Impact Factor
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Yi Jiang, Hai Can Liu,
Hua Jun Zheng,
Biao Tang,
Xiang Feng Dou,
Xiu Qin Zhao,
Yong Qiang Zhu,
Bing Lu,
Sheng Yue Wang,
Hai Yan Dong,
Guo Ping Zhao,
Yuan Yuan Zhang,
Biao Kan,
Kang Lin Wan
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ABSTRACT: To evaluate four candidate variable number tandem repeat (VNTR) loci for genotyping Mycobacterium tuberculosis complex strains.
Genomic sequences for two M. tuberculosis strains (CCDC5079 and CCDC5180) were generated, and using published sequence data, four candidate VNTR loci were identified. The VNTRs were used to genotype 225 Chinese clinical M. tuberculosis complex strains. The discriminatory power of the VNTRs was evaluated using BioNumerics 5.0 software.
The Hunter-Gaston Index (HGI) for BJ1, BJ2, BJ3, and BJ4 loci was 0.634, 0.917, 0.697, and 0.910, respectively. Combining all four loci gave an HGI value of 0.995, thus confirming that the genotyping had good discriminatory power. The HGI values for BJ1, BJ2, BJ3, and BJ4, obtained from Beijing family strain genotyping, were 0.447, 0.878, 0.315, and 0.850, respectively. Combining all four loci produced an HGI value of 0.988 for genotyping the Beijing family strains. We observed unique patterns for M. bovis and M. africanum strains from the four loci.
We have shown that the four VNTR loci can be successfully used for genotyping M. tuberculosis complex strains. Notably, these new loci may provide additional information about Chinese M. tuberculosis isolates than that currently afforded by established VNTR loci typing.
Biomedical and Environmental Sciences 02/2012; 25(1):82-90. · 1.35 Impact Factor
