Molecular Epidemiology of Streptococcus equi subsp.zooepidemicus Isolated from Thoroughbred Horses Using Multi Locus Sequence Typing (MLST) in Korea
Seong-Kyoon Choi1, Chul-Song Park2, Gil-Jae Cho2, *
Identifiers and Pagination:Year: 2019
First Page: 67
Last Page: 73
Publisher Id: TOASJ-13-67
Article History:Received Date: 09/01/2019
Revision Received Date: 16/03/2019
Acceptance Date: 26/03/2019
Electronic publication date: 31/05/2019
Collection year: 2019
open-access license: This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International Public License (CC-BY 4.0), a copy of which is available at: (https://creativecommons.org/licenses/by/4.0/legalcode). This license permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Multi Locus Sequence Typing (MLST) is a new global molecular typing method used for analyzing the DNA polymorphisms in bacteria. In this study, using MLST, we analyzed the sequence profiles of Streptococcus (S.) zooepidemicus isolates from the Jeju and Jangsu provinces in South Korea.
This study characterized the molecular epidemiology of S. zooepidemicus infection in Thoroughbred horses using MLST with an aim to control and prevent bacterial endometritis in mares.
A total of 79 S. zooepidemicus isolates were included in this study. Sequencing of the 7 loci for the MLST analysis was performed as described in the MLST website manual (http:// pubmlst.org/szooepidemicus/) with some modifications. For each locus, every unique sequence was assigned a distinct allele number, and each Sequence Type (ST) was defined by a series of 7 integers (the allelic profile) corresponding to the alleles at the 7 loci (arcC, nrdE, proS, spi, tdk, tpi, and yqiL) using the MLST module in the Main Workbench.
Among the 79 isolates, 73 different MLST patterns were identified, each corresponding to 1-3 strains. The genetic relationships between the 79 isolates are presented in a dendrogram, and they diverged by up to 11% homology. At 11% homology, three MLST groups, M1, M2, and M3, were identified, and at 26% homology, five subgroups, L1-L5, were observed.
We observed various MLST patterns in the strains isolated from Jeju and Jangsu. In addition, by estimating the epidemiological relationships among the strains isolated from Jangsu in 2007 and Jeju in 2009, which had similar MLST patterns, we determined that some strains from Jangsu may have been transported to Jeju.
MLST can be used as a framework for determining the epidemiological relationships that form the genetic basis of host and infection site selection.