Abstract:Objective To establish a triple qPCR detection method for Mycoplasma bovis, Pasteurella multocida (P.m) and Mannheimia haemolytica (M.h), and to conduct an epidemiological investigation of bovine respiratory disease complex (BRDC) in large-scale dairy farms with it.Methods Sensitive quality control samples were prepared using the purified strains isolated and identified in our laboratory. The conserved genes of the major prevalent strains in China were used as targets, including the uvrC of M. bovis, Kmt1 of P.m, and lktD of M.h, to establish a multiplex qPCR containing multiple pairs of primers and probes. By optimizing the parameters of the reaction system, a triple qPCR method was established and its sensitivity, repeatability and specificity were verified. The coincidence rate with the bacterial isolation and identification method was verified. A total of 1 252 clinical samples suspected of BRDC were tested using the established method, and the prevalence and spatiotemporal distribution characteristics of three pathogens were analyzed based on the test results.Results The R2 values of the standard curves for the triple qPCR for detecting M. bovis, P.m, and M.h were 0.998 6, 0.994 6 and 0.998 6 respectively; the minimum detectable quantities were 2.50×103, 1.26×103 and 7.50×102 CFU/mL, respectively. The intra-batch and inter-batch coefficients of variation of the reaction system were both less than 2%, and only the specific amplification curves were observed for the three sensitive quality control samples established. The results of the test showed that the concordance rates of M. bovis, P.m, and M.h with bacterial isolation and identification methods were 100.00%, 98.40% and 97.60%, respectively. The epidemiological survey indicated that the total positive rate of bacterial pathogens in BRDC was 75.9% (95% confidence interval (CI), 73.4%-78.3%), among which the proportion of mixed infections was 48.8%. The incidence was higher in winter, and the positive rate in the northern region was significantly higher than that in the southern region (P<0.001).Conclusion The multiple qPCR method established in this study demonstrated excellent specificity, stability and repeatability, which provided a candidate solution for the detection of major pathogens of BRDC in China. The analysis of the co-infection characteristics and geographical-seasonal distribution patterns of BRDC bacterial pathogens offered meaningful references for the formulation of precise prevention and control strategies.