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Virulence genotyping and population analysis of Streptococcus suis serotype 2 isolates from China.

Authors :
Dong, Wenyang
Ma, Jiale
Zhu, Yinchu
Zhu, Jielian
Yuan, Lvfeng
Wang, Yanan
Xu, Jueqiong
Pan, Zihao
Wu, Zongfu
Zhang, Wei
Lu, Chengping
Yao, Huochun
Source :
Infection, Genetics & Evolution. Dec2015, Vol. 36, p483-489. 7p.
Publication Year :
2015

Abstract

Streptococcus suis is one of the most important swine pathogens worldwide. In this study, a total of 22 virulence-related genes in 101 strains of S. suis serotype 2 (SS2) were detected by PCR, namely, mrp , epf , sly , fbps , rgg , ofs , srtA , pgdA , gapdh , iga , endoD , ciaRH , salKR , manN , purD , rgg , DppIV , neuB , dltA , SMU_61-like, SpyM3_0908 (Permease) and the SspA gene. The distribution of virulence-related genes among isolates was visualized using BioNumerics software to study similarities among the isolates. Two clusters of SS2 were apparent on the phylogenetic tree, namely, Clusters A and B. Both mouse and zebrafish infection models revealed that strains in Cluster B were more virulent than those in Cluster A. Statistical comparison between the two clusters was performed, and structure analysis demonstrated that epf , sly , rgg , endoD , SMU_61-like and SpyM3_0908 were possible predictive markers for SS2 virulence. The transcription levels of highly prevalent genes in both clusters were detected by qRT-PCR in representative strains. For Cluster A isolates, the transcription levels of neuB , dltA , fbps and pgdA were significantly lower, but the transcription level of iga was significantly higher than that in Cluster B isolates. Although encoded in the genomes of the selected Cluster A isolates, DppIV and mrp genes were not expressed. These results revealed the genetic differences between virulent and low-virulence SS2 isolates from China and provide a better understanding of the SS2 pathogenic mechanism. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
15671348
Volume :
36
Database :
Academic Search Index
Journal :
Infection, Genetics & Evolution
Publication Type :
Academic Journal
Accession number :
110855718
Full Text :
https://doi.org/10.1016/j.meegid.2015.08.021