Establishment of multiple qPCR for simultaneous detection of 7 pathogens causing bovine respiratory diseases complex
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1.College of Veterinary Medicine,Huazhong Agricultural University,Wuhan 430070,China;2.State Key Laboratory of Agricultural Microbiology,Wuhan 430070,China;3.Hubei Hongshan Laboratory,Wuhan 430070,China;4.Hubei International Scientific and Technological Cooperation Base of Veterinary Epidemiology/Key Laboratory of Development of Veterinary Diagnostic Products,Ministry of Agriculture and Rural Affairs/ Key Laboratory of Ruminant Biological Products,Ministry of Agriculture and Rural Affairs,Wuhan 430070,China

Clc Number:

S852.61

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    Abstract:

    In order to improve the clinical diagnosis efficiency of bovine respiratory disease complex (BRD) with multiple pathogen mixed infection,this study established a real-time quantitative PCR (qPCR) for multiple and rapid detection of seven common pathogens of BRD including Mycoplasma bovis M.b),Pasteurellae multocida P.m),Mannheimia haemolytica M.h),bovine infectious rhinotracheitis virus (IBRV),bovine syncytial virus (BRSV),bovine parainfluenza virus type 3 genotype a (BPIV-3a) and c (BPIV-3c),the specific primers and TaqMan probes were designed and synthesized for the oppD/F gene of M.bgcp gene of M.hompH gene of P.mgB gene of IBRV,N genes of BRSV,BPIV-3a and BPIV-3c,respectively. After optimizing the reaction conditions,a multiple qPCR was established for simultaneous detection of the above seven pathogens in three tubes. This method specifically amplified these seven pathogens,rather than other major pathogens commonly found in cattle,indicating a high specificity. For M.b,P.m,M.h,IBRV,BRSV,BPIV-3a and BPIV-3c,the analytical sensitivity as limit of detection (LOD) was 102 copies /μL,102 copies /μL,101 copies /μL,102 copies /μL,102 copies /μL,102 copies /μL,102 copies /μL and 101 copies /μL,respectively,suggesting a high sensitivity. In addition,the coefficient of variation of the method was less than 2.5% within group and 5.5% between groups,indicating a good repeatability. Furthermore,115 clinical nasal swabs were parallelly detected by this method and conventional PCR,and the positivity was 27.83% for M.b,36.65% for P.m,25.22% for M.h,11.30% for IBRV,0.95% for BRSV,8.57% for BPIV-3C,with the proportion of coinfection was 26.1%. A total of 11 mixed infection patterns were detected,among them,the coinfection rate of M.b with other pathogens was the highest,accouning for 72.7% (8/11). Within the 30 coinfection cases,the detection rate of M.b/P.m coinfection was the highest (60%,18/30); the top three pathogens present in the coinfection were M.bP.m,and M.h with frequency of 73.3% (22/30),73.3% (22/30) and 43.3% (13/30),respectively; followed by IBRV (26.7%,8/30) and BPIV-3c (13.3%,4/30). Overall,this method has high sensitivity and specificity,and potential application in the clinical detection of single pathogen and multiple pathogens causing BRD.

    Table 6 Repeatability analysis of the multiple qPCR
    Table 2 Primers and probes of each BRD pathogen for qPCR amplification
    Table 3 Primers for conventional PCR amplification of 7 pathogens causing BRD
    Table 4 Amplification condition of conventional PCR for 7 pathogens causing BRD
    Table 5 Amplification system and condition of multiple qPCR
    Table 1 Recombinant plasmids of seven BRD pathogens
    Table 7 Detection result of single pathogen in clinical samples
    Fig.1 Amplification curves(A-G) and standard curves(H) of multiple qPCR used to amplify the 7 pathogens associated with bovine respiratory diseases complex
    Fig.2 Specific test of the multiple qPCR for the seven pathogens causing bovine respiratory disease complex
    Fig.3 Analytic sensitivity test of multiple qPCR for seven pathogens of bovine respiratory disease complex
    Table 8 Detection results of multiple pathogen coinfection in clinical samples
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徐恩红,祁明普,项志杰,胡长敏,陈颖钰,陈建国,陈曦,郭爱珍. Establishment of multiple qPCR for simultaneous detection of 7 pathogens causing bovine respiratory diseases complex[J]. Jorunal of Huazhong Agricultural University,2023,42(2):38-47.

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  • Received:November 01,2022
  • Online: March 31,2023
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