| Literature DB >> 28615466 |
Kate J Howell1, Lucy A Weinert2, Sarah E Peters2, Jinhong Wang2, Juan Hernandez-Garcia2, Roy R Chaudhuri3, Shi-Lu Luan2, Øystein Angen4, Virginia Aragon5, Susanna M Williamson6, Paul R Langford7, Andrew N Rycroft8, Brendan W Wren9, Duncan J Maskell2, Alexander W Tucker2.
Abstract
Haemophilus parasuis is a diverse bacterial species that is found in the upper respiratory tracts of pigs and can also cause Glässer's disease and pneumonia. A previous pangenome study of H. parasuis identified 48 genes that were associated with clinical disease. Here, we describe the development of a generalized linear model (termed a pathotyping model) to predict the potential virulence of isolates of H. parasuis based on a subset of 10 genes from the pangenome. A multiplex PCR (mPCR) was constructed based on these genes, the results of which were entered into the pathotyping model to yield a prediction of virulence. This new diagnostic mPCR was tested on 143 field isolates of H. parasuis that had previously been whole-genome sequenced and a further 84 isolates from the United Kingdom from cases of H. parasuis-related disease in pigs collected between 2013 and 2014. The combination of the mPCR and the pathotyping model predicted the virulence of an isolate with 78% accuracy for the original isolate collection and 90% for the additional isolate collection, providing an overall accuracy of 83% (81% sensitivity and 93% specificity) compared with that of the "current standard" of detailed clinical metadata. This new pathotyping assay has the potential to aid surveillance and disease control in addition to serotyping data.Entities:
Keywords: Haemophilus parasuis; molecular diagnostics; pathotyping; virulence factors
Mesh:
Year: 2017 PMID: 28615466 PMCID: PMC5648699 DOI: 10.1128/JCM.02464-16
Source DB: PubMed Journal: J Clin Microbiol ISSN: 0095-1137 Impact factor: 5.948