Indan Journal of Medical Research Indan Journal of Medical Research Indan Journal of Medical Research Indan Journal of Medical Research
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ORIGINAL ARTICLE
Year : 2017  |  Volume : 146  |  Issue : 2  |  Page : 272-280

A simplified multiplex PCR-based typing method for common Salmonella enterica serovars supported by online server-based detection system


1 Department of Microbiology, College of Veterinary Science, Assam Agricultural University, Guwahati, India
2 Deparment of Microbiology & Molecular Genetics, University of California, Irvine, USA
3 Department of Bioinformatics Centre, College of Veterinary Science, Assam Agricultural University, Guwahati, India
4 Department of Animal Biotechnology, College of Veterinary Science, Assam Agricultural University, Guwahati, India

Correspondence Address:
Dr Probodh Borah
Department of Microbiology, College of Veterinary Science, Assam Agricultural University, Khanapara, Guwahati 781 022, Assam
India
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Source of Support: None, Conflict of Interest: None


DOI: 10.4103/ijmr.IJMR_1258_15

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Background & objectives: A rapid and simple alternative method is needed to replace the laborious, time-consuming Salmonella serotyping. The objective of the present study was to improve and simplify a previously reported multiplex polymerase chain reaction (PCR)-based method and to create an online server to enable rapid determination of serovars. Methods: A method of multiplex PCR-based genome typing (MPGT) was standardized using 59 Salmonella isolates of 31 serovars. Several previously reported primers were modified to obtain a more accurate performance. The screen was separated into four different multiplex reactions distinguishable on standard electrophoresis. A blind study was subsequently performed with 81 isolates of 10 serovars most prevalent in India. Whole genome information from 440 Salmonella isolates was used to confirm the usefulness of this method and concurrence of in silico predictions and PCR results were investigated. A public server (http://www.mpgt-salmonella.res.in) was established for data storage and determination of closest previously observed Salmonella isolates based on obtained MPGT patterns. Results: The 16 target genes amplified showed variability in their presence in strains from different serotypes. Hence, identical amplification patterns suggested genetic relatedness of strains and usually identical serological behaviour. The observed absence/presence patterns of genes were converted to an MPGT code. Altogether, 83 different codes were predicted in silico based on the whole genome information of 440 strains. Results confirmed that major serovars usually displayed unique MPGT codes. Interpretation & conclusions: The multiplex PCR assay resulted in specific binary codes for isolates from each of the 31 Salmonella serovars tested. The online server allowed the user to compare obtained PCR results with stored previous patterns. Simplicity, speed and cost-effectiveness make this tool useful for quick outbreak management.


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