Development of molecular assays for the analysis of genetic relationships of Mycoplasma iowae

Copyright © 2023 The Authors. Published by Elsevier B.V. All rights reserved..

Mycoplasma iowae is a worldwide spread and economically important avian pathogen that mostly infects turkeys. Currently, multi-locus sequence typing (MLST) serves as the gold standard method for strain identification in M. iowae. However, additional robust genotyping methods are required to effectively monitor M. iowae infections and conduct epidemiological investigations. The first aim of this study was to develop genotyping assays with high resolution, that specifically target M. iowae, namely a multiple-locus variable number of tandem-repeats analysis (MLVA) and a core genome multi-locus sequence typing (cgMLST) schema. The second aim was the determination of relationships among a diverse selection of M. iowae strains and clinical isolates with a previous and the newly developed assays. The MLVA was designed based on the analyses of tandem-repeat (TR) regions in the six serotype reference strains (I, J, K, N, Q and R). The cgMLST schema was developed based on the coding sequences (CDSs) common in 95% of the examined 99 isolates. The samples were submitted for a previously published MLST assay for comparison with the developed methods. Out of 94 TR regions identified, 17 alleles were selected for further evaluation by PCR. Finally, seven alleles were chosen to establish the MLVA assay. Additionally, whole genome sequence analyses identified a total of 676 CDSs shared by 95% of the isolates, all of which were included into the developed cgMLST schema. The MLVA discriminated 19 distinct genotypes (GT), while with the cgMLST assay 79 sequence types (ST) could be determined with Simpson's diversity indices of 0.810 (MLVA) and 0.989 (cgMLST). The applied assays consistently identified the same main clusters among the diverse selection of isolates, thereby demonstrating their suitability for various genetic analyses and their ability to yield congruent results.

Medienart:

E-Artikel

Erscheinungsjahr:

2023

Erschienen:

2023

Enthalten in:

Zur Gesamtaufnahme - volume:287

Enthalten in:

Veterinary microbiology - 287(2023) vom: 03. Dez., Seite 109909

Sprache:

Englisch

Beteiligte Personen:

Buni, Dominika [VerfasserIn]
Kovács, Áron Botond [VerfasserIn]
Földi, Dorottya [VerfasserIn]
Bányai, Krisztián [VerfasserIn]
Bali, Krisztina [VerfasserIn]
Domán, Marianna [VerfasserIn]
Wehmann, Enikő [VerfasserIn]
Bradbury, Janet [VerfasserIn]
Bottinelli, Marco [VerfasserIn]
Catania, Salvatore [VerfasserIn]
Stefani, Elisabetta [VerfasserIn]
Lysnyansky, Inna [VerfasserIn]
Kovács, László [VerfasserIn]
Grózner, Dénes [VerfasserIn]
Gyuranecz, Miklós [VerfasserIn]
Kreizinger, Zsuzsa [VerfasserIn]

Links:

Volltext

Themen:

CgMLST
Journal Article
MLST
MLVA
Phylogeny

Anmerkungen:

Date Completed 16.12.2023

Date Revised 16.12.2023

published: Print-Electronic

Citation Status MEDLINE

doi:

10.1016/j.vetmic.2023.109909

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM36417725X