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Distinct Salmonella Enteritidis lineages associated with enterocolitis in high-income settings and invasive disease in low-income settings.

Accepted version
Peer-reviewed

Type

Article

Change log

Authors

Feasey, NA 
Hadfield, J 
Keddy, KH 
Dallman, TJ 
Jacobs, J 

Abstract

An epidemiological paradox surrounds Salmonella enterica serovar Enteritidis. In high-income settings, it has been responsible for an epidemic of poultry-associated, self-limiting enterocolitis, whereas in sub-Saharan Africa it is a major cause of invasive nontyphoidal Salmonella disease, associated with high case fatality. By whole-genome sequence analysis of 675 isolates of S. Enteritidis from 45 countries, we show the existence of a global epidemic clade and two new clades of S. Enteritidis that are geographically restricted to distinct regions of Africa. The African isolates display genomic degradation, a novel prophage repertoire, and an expanded multidrug resistance plasmid. S. Enteritidis is a further example of a Salmonella serotype that displays niche plasticity, with distinct clades that enable it to become a prominent cause of gastroenteritis in association with the industrial production of eggs and of multidrug-resistant, bloodstream-invasive infection in Africa.

Description

Keywords

Adaptation, Biological, Africa South of the Sahara, Animals, Chickens, Enterocolitis, Epidemics, Female, Genome, Bacterial, Humans, Income, Plasmids, Poultry Diseases, Salmonella Infections, Salmonella enteritidis, Sequence Analysis, DNA

Journal Title

Nature Genetics

Conference Name

Journal ISSN

1061-4036
1546-1718

Volume Title

48

Publisher

Nature Publishing Group

Rights

All rights reserved
Sponsorship
Biotechnology and Biological Sciences Research Council (BB/M014088/1)
Wellcome Trust (100891/Z/13/Z)
Wellcome Trust (092152/B/10/A)
This work was supported by the Wellcome Trust. We would like to thank the members of the Pathogen Informatics Team and the core sequencing teams at the Wellcome Trust Sanger Institute (Cambridge, UK). We are grateful to D. Harris for work in managing the sequence data.