Virulence genes and pathogenicity of Shigella flexneri Xv isolated in Beijing / 中华流行病学杂志

<p><b>OBJECTIVE</b>To understand the biochemical characteristics, virulence genes and pathogenicity of Shigella flexneri Xv isolated in Beijing.</p><p><b>METHODS</b>61 strains of S. flexneri Xv isolated from diarrhea patients in Beijing were systematically determined through biochemical reactions and serological tests. Application of PCR technique in detection of virulence genes on ipaH, sen, virF, ial and pulsed-field gel electrophoresis (PFGE) was used to identify the related characteristics and on rat lung slices to determine its pathogenicity.</p><p><b>RESULTS</b>All of the S. flexneri Xv could ferment glucose, mannitol, melibiose and arabinose. Using serum agglutination, we found that the antigen structure was (IV: 7, 8). IpaH, sen, virF and ial that carried rates of virulence genes appeared to be 100%, 81.97%, 75.41% and 80.30%, respectively. Among 61 strains of S. flexneri Xv, the PFGE typing of Shigella bacteria could be divided into 25 belt types while the results from rat lung slices showed inflammatory change of Xv.</p><p><b>CONCLUSION</b>S. flexneri Xv was found that it carried high rate of Shigella virulence genes, exhibiting genetic polymorphism and highly invasive.</p>

Progress in research on multilocus sequence typing technique / 军事医学科学院院刊

Multilocus sequence typing (MLST) is a molecular genotyping method based on nucleotide sequencing. The procedure of this method characterizes isolates of bacterial species using the DNA sequencing of multiple housekeeping genes(usually seven). For each housekeeping gene, the different sequences present within a bacterial species are assigned as distinct alleles.For each isolate, the alleles at each of the loci define the allelic profile or sequence type (ST). MLST has the advantages of being robust (based on genetic data) and electronically portable to generate data that allow rapid and global comparisons between different laboratories. In this paper, the principle, method, data analysis, application, advantages and flaws of MLST are introduced.