REVIEW article
Front. Vet. Sci.
Sec. Veterinary Infectious Diseases
Molecular detection of antimicrobial resistance in livestock mycoplasmas: current status and future prospects
Provisionally accepted- 1HUN-REN Allatorvostudomanyi Kutatointezet, Budapest, Hungary
- 2CIRAD INRAE, UMR ASTRE, Montpellier, France
- 3Universiteit Gent, Ghent, Belgium
- 4GD Animal Health, Deventer, Netherlands
- 5Asia-Pacific Centre for Animal Health, Faculty of Science, University of Melbourne, Melbourne, Australia
- 6Royal GD, Deventer, Netherlands
- 7Mycoplasma Unit, WOAH reference laboratory for avian mycoplasmosis, Istituto Zooprofilattico Sperimentale delle Venezie, Buttapietra, Italy
- 8IUSA, Veterinary Faculty, University of Las Palmas de Gran Canaria, Gran Canaria, Spain
- 9Veterinary Bacteriology, Department of Infectious Diseases in Animals, Sciensano, Brussels, Belgium
- 10University of Liverpool, Leahurst Campus, Neston, United Kingdom
- 11Anses Laboratoire de Ploufragan-Plouzane, Ploufragan, France
- 12UMR Anses VetAgro Sup Mycoplasmoses Animales, VetAgro Sup, Université de Lyon, Marcy l’Etoile, France
- 13Kimron Veterinary Institute, Beit Dagan, Israel
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Pathogenic Mycoplasma species significantly impact livestock health, causing respiratory, articular, mammary gland, and reproductive disorders with substantial economic losses. Antimicrobials remain essential for controlling clinical signs and production losses; however, treatment efficacy is increasingly threatened by antimicrobial resistance (AMR). Phenotypic methods remain the most reliable approach for detecting AMR in Mycoplasma species; however, they are time-consuming, technically demanding, and results are often difficult to interpret. The absence of clinical breakpoints and limited epidemiological cut-off values (ECOFFs) further complicate AMR categorization. Advances in molecular techniques offer a promising alternative for faster AMR detection and prediction. This review summarizes current knowledge of genetic mechanisms underlying AMR in clinically important Mycoplasma species affecting ruminants, swine, and poultry. It highlights the role of molecular assays in identifying resistance-associated mutations. Additionally, a SWOT (Strengths, Weaknesses, Opportunities, Threats) analysis evaluates these methods' practical applications and limitations in veterinary mycoplasmas. Finally, the potential of genome-wide association studies (GWAS) is explored as an emerging tool for linking genetic traits to phenotypic resistance patterns, offering new insights for enhancing resistance prediction in veterinary medicine.
Keywords: Antimicrobial resistance (AMR), molecular detection, Livestock mycoplasma, Genome-wide association studies (GWAS), SWOT
Received: 04 Sep 2025; Accepted: 25 Nov 2025.
Copyright: © 2025 Sulyok, Kreizinger, Földi, Kovács, Grózner, Manso-Silvan, Bokma, Heuvelink, Klose, Feberwee, Catania, Ramirez Corbera, Vaz, Boland, Ganapathy, Gautier-Bouchardon, Becker, TARDY, Lysnyansky and Gyuranecz. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Miklós Gyuranecz
Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.
