AUTHOR=Sulyok Kinga M. , Kreizinger Zsuzsa , Földi Dorottya , Kovács Áron Botond , Grózner Dénes , Manso-Silván Lucía , Bokma Jade , Heuvelink Annet E. , Klose Sara M. , Feberwee Anneke , Catania Salvatore , Ramirez Corbera Ana S. , Vaz Paola K. , Boland Cecile , Ganapathy Kannan , Gautier-Bouchardon Anne V. , Becker Claire A. M. , Tardy Florence , Lysnyansky Inna , Gyuranecz Miklós 

TITLE=Molecular detection of antimicrobial resistance in livestock mycoplasmas: current status and future prospects

JOURNAL=Frontiers in Veterinary Science

VOLUME=Volume 12 - 2025

YEAR=2025

URL=https://www.frontiersin.org/journals/veterinary-science/articles/10.3389/fvets.2025.1699077

DOI=10.3389/fvets.2025.1699077

ISSN=2297-1769

ABSTRACT=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.