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Genomic analysis of the 2017 Aotearoa New Zealand outbreak of Mycoplasma bovis and its position within the global population structure

  • In 2017 an outbreak of Mycoplasma bovis (M. bovis), an infectious agent of cattle, was identified in Aotearoa New Zealand. This study characterizes the genomic population structure of the outbreak in New Zealand and compares it with the known global population structure using multilocus sequence typing (MLST) and genomic analysis. The New Zealand outbreak strain was MLST genotyped as ST21. A comprehensive collection of 840 genomes from the New Zealand outbreak showed a pattern of clonal expansion when characterized by MLST, core genome MLST (cgMLST) and whole genome MLST (wgMLST). A lineage of genomes was found with no in silico identifiable pta2 locus, a housekeeping gene used in the MLST scheme. We compared a sample set of 40 New Zealand genomes to 47 genomes from other countries. This group had 79 ST21 genomes and eight genomes that were single nucleotide polymorphism (SNP) variants within the MLST loci of ST21. Two of the 47 international genomes showed signs of extensive unique recombination. Unique alleles in six genes were identified as present only in the New Zealand genomes. These novel variants were in the genes; haeIIIM encoding for cytosine-specific methyltransferase, cysC encoding for cysteinyl tRNA synthetase, era encoding for GTPase Era, metK encoding for S-adenosylmethionine synthase, parE encoding for DNA topoisomerase, and hisS encoding for histidine-tRNA ligase. This finding could be due to a population bottleneck, genetic drift, or positive selection. The same sample set of 40 New Zealand genomes were compared using MLST to 404 genomes from 15 other countries and 11 genomes without a known country. A FastBAPS analysis of 455 genomes showed a global population structure with 11 clusters. Some countries, such as Canada, Denmark and Australia contained both internally closely related genomes and some genomes that were more closely related to genomes found in other countries. Our results support the need for Whole Genome Sequencing (WGS) as well as MLST genotyping in M. bovis outbreaks. They also support the importance of understanding the national and international movement patterns of cattle and their genetic material, as possible routes of transmission, when managing the spread of M. bovis.

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Author:Barbara M. Binney, Edna Gias, Jonathan Foxwell, Alvey Little, Patrick J. Biggs, Nigel French, Callum Lambert, Hye Jeong Ha, Glen P. Carter, Miklós Gyuranecz, Bart Pardon, Sarne De Vliegher, Filip Boyen, Jade Bokma, Volker KrömkerORCiDGND, Nicole WenteORCiDGND, Timothy J. Mahony, Justine S. Gibson, Tamsin S. Barnes, Nadeeka Wawegama, Alistair R. Legione, Martin Heller, Christiane Schnee, Sinikka Pelkonen, Tiina Autio, Hidetoshi Higuchi, Satoshi Gondaira, Michelle McCulley
URN:urn:nbn:de:bsz:960-opus4-36710
DOI:https://doi.org/10.25968/opus-3671
DOI original:https://doi.org/10.3389/fmicb.2025.1600146
ISSN:1664-302X
Parent Title (English):Frontiers in Microbiology
Publisher:Frontiers Media SA
Document Type:Article
Language:English
Year of Completion:2025
Publishing Institution:Hochschule Hannover
Release Date:2025/08/25
Tag:Mycoplasma bovis; core genome MLST; genomic epidemiology; multilocus sequence typing (MLST); outbreak; whole genome MLST
GND Keyword:Mycoplasma bovisGND; GenanalyseGND; NeuseelandGND; TiertransportGND
Volume:16
Article Number:1600146
Page Number:16
Link to catalogue:1938550366
Institutes:Fakultät II - Maschinenbau und Bioverfahrenstechnik
DDC classes:630 Landwirtschaft, Veterinärmedizin
Licence (German):License LogoCreative Commons - CC BY - Namensnennung 4.0 International