2026-04-17T07:00:53Zhttps://recercat.cat/oai/request

oai:recercat.cat:20.500.12327/31932025-10-22T11:04:30Zcom_2072_4428com_2072_4427col_2072_487898

00925njm 22002777a 4500 dc Howell, Kate J. author Weinert, Lucy A author Chaudhuri, Roy R author Luan, Shi-Lu author Peters, Sarah E author Corander, Jukka author Harris, David author Angen, Øystein author Aragon, Virginia author Bensaid, Albert author Williamson, Susanna M author Parkhill, Julian author Langford, Paul R author Rycroft, Andrew N author Wren, Brendan W author Holden, Matthew T G author Tucker, Alexander W author Maskell, Duncan J author 2014-12-24 Background: Haemophilus parasuis is the etiologic agent of Glässer’s disease in pigs and causes devastating losses to the farming industry. Whilst some hyper-virulent isolates have been described, the relationship between genetics and disease outcome has been only partially established. In particular, there is weak correlation between serovar and disease phenotype. We sequenced the genomes of 212 isolates of H. parasuis and have used this to describe the pan-genome and to correlate this with clinical and carrier status, as well as with serotype. Results: Recombination and population structure analyses identified five groups with very high rates of recombination, separated into two clades of H. parasuis with no signs of recombination between them. We used genome-wide association methods including discriminant analysis of principal components (DAPC) and generalised linear modelling (glm) to look for genetic determinants of this population partition, serovar and pathogenicity. We were able to identify genes from the accessory genome that were significantly associated with phenotypes such as potential serovar specific genes including capsule genes, and 48 putative virulence factors that were significantly different between the clinical and non-clinical isolates. We also show that the presence of many previously suggested virulence factors is not an appropriate marker of virulence. Conclusions: These genes will inform the generation of new molecular diagnostics and vaccines, and refinement of existing typing schemes and show the importance of the accessory genome of a diverse species when investigating the relationship between genotypes and phenotypes Howell, Kate J, Lucy A Weinert, Roy R Chaudhuri, Shi-Lu Luan, Sarah E Peters, Jukka Corander, and David Harris et al. 2014. "The Use Of Genome Wide Association Methods To Investigate Pathogenicity, Population Structure And Serovar In Haemophilus Parasuis". BMC Genomics 15 (1): 1179. doi:10.1186/1471-2164-15-1179. 1471-2164 http://hdl.handle.net/20.500.12327/3193 https://doi.org/10.1186/1471-2164-15-1179 The use of genome wide association methods to investigate pathogenicity, population structure and serovar in Haemophilus parasuis