Cookies on this website
We use cookies to ensure that we give you the best experience on our website. If you click 'Continue' we'll assume that you are happy to receive all cookies and you won't see this message again. Click 'Find out more' for information on how to change your cookie settings.

Genome-wide association studies have the potential to identify causal genetic factors underlying important phenotypes but have rarely been performed in bacteria. We present an association mapping method that takes into account the clonal population structure of bacteria and is applicable to both core and accessory genome variation. Campylobacter is a common cause of human gastroenteritis as a consequence of its proliferation in multiple farm animal species and its transmission via contaminated meat and poultry. We applied our association mapping method to identify the factors responsible for adaptation to cattle and chickens among 192 Campylobacter isolates from these and other host sources. Phylogenetic analysis implied frequent host switching but also showed that some lineages were strongly associated with particular hosts. A seven-gene region with a host association signal was found. Genes in this region were almost universally present in cattle but were frequently absent in isolates from chickens and wild birds. Three of the seven genes encoded vitamin B5 biosynthesis. We found that isolates from cattle were better able to grow in vitamin B5-depleted media and propose that this difference may be an adaptation to host diet.

Original publication

DOI

10.1073/pnas.1305559110

Type

Journal article

Journal

Proc Natl Acad Sci U S A

Publication Date

16/07/2013

Volume

110

Pages

11923 - 11927

Keywords

evolution, genomics, host adaptation, transmission ecology, Animals, Base Sequence, Biological Evolution, Biosynthetic Pathways, Campylobacter, Cattle, Chickens, Cluster Analysis, Computational Biology, Genetics, Population, Genome, Bacterial, Genome-Wide Association Study, Host Specificity, Models, Genetic, Molecular Sequence Data, Pantothenic Acid, Phylogeny, Sequence Analysis, DNA