Imperial College London
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DrJanineBosse

Faculty of Medicine, Department of Infectious Disease

Honorary Senior Research Fellow
 
 
 
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Contact

 

+44 (0)20 7594 1803j.bosse

 
 
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Location

 

234Wright Fleming WingSt Mary's Campus

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Summary

 

Publications

Citation

BibTex format

@article{Howell:2014:10.1186/1471-2164-15-1179,
author = {Howell, KJ and Weinert, LA and Chaudhuri, RR and Luan, SL and Peters, SE and Corander, J and Harris, D and Angen, Ø and Aragon, V and Bensaid, A and Williamson, SM and Parkhill, J and Langford, PR and Rycroft, AN and Wren, BW and Holden, MT and Tucker, AW and Maskell, DJ},
doi = {10.1186/1471-2164-15-1179},
journal = {BMC Genomics},
pages = {1179--1179},
title = {The use of genome wide association methods to investigate pathogenicity, population structure and serovar in Haemophilus parasuis.},
url = {http://dx.doi.org/10.1186/1471-2164-15-1179},
volume = {15},
year = {2014}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - BACKGROUND: Haemophilus parasuis is the etiologic agent of Glasser'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.
AU  - Howell,KJ
AU  - Weinert,LA
AU  - Chaudhuri,RR
AU  - Luan,SL
AU  - Peters,SE
AU  - Corander,J
AU  - Harris,D
AU  - Angen,Ø
AU  - Aragon,V
AU  - Bensaid,A
AU  - Williamson,SM
AU  - Parkhill,J
AU  - Langford,PR
AU  - Rycroft,AN
AU  - Wren,BW
AU  - Holden,MT
AU  - Tucker,AW
AU  - Maskell,DJ
DO  - 10.1186/1471-2164-15-1179
EP  - 1179
PY  - 2014///
SN  - 1471-2164
SP  - 1179
TI  - The use of genome wide association methods to investigate pathogenicity, population structure and serovar in Haemophilus parasuis.
T2  - BMC Genomics
UR  - http://dx.doi.org/10.1186/1471-2164-15-1179
UR  - http://hdl.handle.net/10044/1/23421
VL  - 15
ER  -
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