ArticleJournal of clinical microbiology2015
Development of a rapid multiplex PCR assay to genotype Pasteurella multocida strains by use of the lipopolysaccharide outer core biosynthesis locus.
Article in Journal of clinical microbiology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers.
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Who cites it
57 citing papers in PubMed, 146 citations in OpenAlex.
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- Prevalence, Molecular Identification, and Antimicrobial Resistance Traits of Pasteurella multocida Isolated From Nasal Swabs of Buffaloes in Bangladesh.MicrobiologyOpen · 2026Article
- Molecular epidemiology, antimicrobial resistance, virulence profiling, and pathogenicity of bovine Pasteurella multocida isolates from Hebei Province, China: Dominance of the A:L3-ST79 clonal lineage.Veterinary world · 2026Article
- Review
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- Characterization of a Pasteurella multocida type a strain associated with a severe bronchopneumonia outbreak in gilts.Porcine health management · 2026Article
- Whole-Genome Sequencing and Pathogenic Characterization of aMicroorganisms · 2026Article
- Genomic Insights intoPathogens (Basel, Switzerland) · 2025Article
- Characterization and Genomic Analysis ofAnimals : an open access journal from MDPI · 2025Article
- Comprehensive capsular, lipopolysaccharide, virulence, and antimicrobial resistance profiling ofVeterinary world · 2025Article
- Comparative analysis of shared and unique mechanisms important for diverse strains of Pasteurella multocida to cause systemic infection in mice.PLoS pathogens · 2025Article
- Comparative evaluation of protective efficacy of experimental inactivated vaccines against haemorrhagic septicaemia.Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] · 2025Article
- Serovar and multilocus sequence typing analysis of Pasteurella multocida from diseased pigs in Taiwan.BMC veterinary research · 2025Article
- Antimicrobial-Resistance and Virulence-Associated Genes ofMicroorganisms · 2025Article
- Pathogenicity and Genomic Characterization ofTransboundary and emerging diseases · 2025Article
- Integrative and conjugative elements ofVirulence · 2024Article
- Complete genome sequences of eightMicrobiology resource announcements · 2024Article
- Molecular characterization of Pasteurella multocida from cats and antibiotic sensitivity of the isolates.Veterinary medicine and science · 2024Article
- Pathogenic and genomic characterization of rabbit-sourcedMicrobiology spectrum · 2024Article
Corrections and comments
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Authors and funding
9 authors at 6 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Pasteurella multocida is a Gram-negative bacterial pathogen that is the causative agent of a wide range of diseases in many animal species, including humans. A widely used method for differentiation of P. multocida strains involves the Heddleston serotyping scheme. This scheme was developed in the early 1970s and classifies P. multocida strains into 16 somatic or lipopolysaccharide (LPS) serovars using an agar gel diffusion precipitin test. However, this gel diffusion assay is problematic, with difficulties reported in accuracy, reproducibility, and the sourcing of quality serovar-specific antisera. Using our knowledge of the genetics of LPS biosynthesis in P. multocida, we have developed a multiplex PCR (mPCR) that is able to differentiate strains based on the genetic organization of the LPS outer core biosynthesis loci. The accuracy of the LPS-mPCR was compared with classical Heddleston serotyping using LPS compositional data as the "gold standard." The LPS-mPCR correctly typed 57 of 58 isolates; Heddleston serotyping was able to correctly and unambiguously type only 20 of the 58 isolates. We conclude that our LPS-mPCR is a highly accurate LPS genotyping method that should replace the Heddleston serotyping scheme for the classification of P. multocida strains.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.