Ontology highlight
ABSTRACT: Background
Variable number of tandem repeats (VNTRs) that are widely distributed in the genome of Yersinia pestis proved to be useful markers for the genotyping and source-tracing of this notorious pathogen. In this study, we probed into the features of VNTRs in the Y. pestis genome and developed a simple hierarchical genotyping system based on optimized VNTR loci.Methodology/principal findings
Capillary electrophoresis was used in this study for multi-locus VNTR analysis (MLVA) in 956 Y. pestis strains. The general features and genetic diversities of 88 VNTR loci in Y. pestis were analyzed with BioNumerics, and a "14+12" loci-based hierarchical genotyping system, which is compatible with single nucleotide polymorphism-based phylogenic analysis, was established.Conclusions/significance
Appropriate selection of target loci reduces the impact of homoplasies caused by the rapid mutation rates of VNTR loci. The optimized "14+12" loci are highly discriminative in genotyping and source-tracing Y. pestis for molecular epidemiological or microbial forensic investigations with less time and lower cost. An MLVA genotyping datasets of representative strains will improve future research on the source-tracing and microevolution of Y. pestis.
SUBMITTER: Li Y
PROVIDER: S-EPMC3689786 | biostudies-literature | 2013
REPOSITORIES: biostudies-literature
Li Yanjun Y Cui Yujun Y Cui Baizhong B Yan Yanfeng Y Yang Xianwei X Wang Haidong H Qi Zhizhen Z Zhang Qingwen Q Xiao Xiao X Guo Zhaobiao Z Ma Cong C Wang Jing J Song Yajun Y Yang Ruifu R
PloS one 20130621 6
<h4>Background</h4>Variable number of tandem repeats (VNTRs) that are widely distributed in the genome of Yersinia pestis proved to be useful markers for the genotyping and source-tracing of this notorious pathogen. In this study, we probed into the features of VNTRs in the Y. pestis genome and developed a simple hierarchical genotyping system based on optimized VNTR loci.<h4>Methodology/principal findings</h4>Capillary electrophoresis was used in this study for multi-locus VNTR analysis (MLVA) ...[more]