Veterinary World (Jul 2018)
Use of molecular biology tools for rapid identification and characterization of Pasteurella spp.
Abstract
Aim: This study aimed to create rapid characterization and genotyping of Pasteurella multocida (PM) protocol using modern molecular biology techniques. Materials and Methods: Thirty bacterial isolates were characterized by capsular and somatic identification using conventional procedure followed by multiplex polymerase chain reaction (PCR), restriction endonucleases analysis (REA), and finally confirmed by sequence analysis. Two local vaccine strains and two field isolates were identified as PM Type A and B. Results: A total of 30 isolates were found positive for PM either morphologically and biochemically; however, multiplex PCR technique identified only 22 isolates as Pasteurella species using universal primers while 8 isolates were found negative for PM. 12 of 22 isolates (54%) were characterized at the same reaction into PM Type A, five isolates (23%) were Type B and the rest five isolates (23%) of tested isolates were negative for Types A, B, and D. Hemorrhagic septicemia Type B: 2 or B: 5 could be identified somatically within PM capsular serogroup B using PCR technique. Somatic characterization of PM was done using REA that could identify all PM Type A into A:1 and all PM Type B into B: 2. These protocols were verified for its accuracy and reliability by sequence analysis of two vaccine strains of PM Type A and B that were characterized previously by biochemical and serological methods as well as two selected isolates from the 22 positive isolates representing PM Type A and B. Conclusion: PCR and REA could confirm the identity of PM and provide a rapid and reliable characterization in comparison with biochemical analysis and conventional serotyping that may take up to 2 weeks. Hence, they can reduce the time needed for polyvalent vaccine production and when the reference antisera are unavailable. Moreover, the identity of Omp-H for vaccine and field strains may provide better data to control Pasteurellosis in Egypt.
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