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Genotyping Mycoplasma hyorhinis by multi-locus sequence typing and multiple-locus variable-number tandem-repeat analysis

Földi, Dorottya and Bekő, Katinka and Felde, Orsolya and Kreizinger, Zsuzsa and Kovács, Áron Botond and Tóth, Fruzsina and Bányai, Krisztián and Kiss, Krisztián and Biksi, Imre and Gyuranecz, Miklós (2020) Genotyping Mycoplasma hyorhinis by multi-locus sequence typing and multiple-locus variable-number tandem-repeat analysis. Veterinary Microbiology. ISSN 0378-1135 (In Press)

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Abstract

Mycoplasma hyorhinis is a swine pathogen bacterium, which causes significant economic losses. The infection spreads through direct contact between the animals. Powerful genotyping methods like PCR based multi-locus sequence typing (MLST) and multiple-locus variable-number tandem-repeat analysis (MLVA) are necessary to monitor the infections and to conduct epidemiological investigations; hence supporting the control of the disease. The aims of the present study were to examine M. hyorhinis isolates originating mainly from Hungary with MLST and MLVA developed in the study, and to compare the results of the two typing methods. To characterize 39 M. hyorhinis isolates and the type strain (NCTC 10,130), six house-keeping genes were selected for MLST and six tandem-repeat regions were chosen for MLVA. We were able to differentiate 31 sequence types and 37 genotypes within the 40 analyzed isolates by the MLST and the MLVA, respectively. With the combination of the two newly developed assays all examined isolates were distinguished with the exception of the ones originating from the same animal. The developed MLST assay provided a robust and high resolution phylogenetic tree, while the MLVA system is suitable for the differentiation of closely related isolates from the same farm, hence the assay is appropriate for epidemiologic studies.

Item Type: Article
Subjects: S Agriculture / mezőgazdaság > SV Veterinary science / állatorvostudomány
Depositing User: Dr. Enikő Wehmann
Date Deposited: 16 Sep 2020 11:04
Last Modified: 03 Apr 2023 06:55
URI: http://real.mtak.hu/id/eprint/113433

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