Abstract
Background: Mycoplasma gallisepticum (MG) is a major pathogen that causes respiratory diseases 14in poultry, resulting in reduced production and severe economic losses. Current MG detection methods are time-consuming, labor-intensive, and expensive. Hence, the rapid and accurate detection of MG is critical for effective disease control. Therefore, this study aimed to develop a dual-mode diagnostic assay for sensitive and specific detection of MG by combining recombinase-aided amplification (RAA) with CRISPR/Cas12a technology. Conserved regions of the mgc2 gene were used for primer and CRISPR RNA design, and the reaction conditions were optimized to maximize detection efficiency. Results: The assay achieved a detection limit of 2 copies/µL and demonstrated high specificity against seven other common avian pathogens. Detection was visualized within 1 h using either fluorescence or lateral flow dipstick. Moreover, clinical validation of chicken samples showed complete concordance with quantitative real-time polymerase chain reaction results. Furthermore, an epidemiological investigation revealed that chickens had the highest positivity rate for MG among chickens, ducks, and pigeons in Hubei Province. Conclusions: This simple, rapid, field-deployable method is valuable for timely MG surveillance and effective disease management in poultry production.