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Detection of mixed infection from bacterial whole genome sequence data allows assessment of its role in Clostridium difficile transmission

Abstract:

Bacterial whole genome sequencing offers the prospect of rapid and high precision investigation of infectious disease outbreaks. Close genetic relationships between microorganisms isolated from different infected cases suggest transmission is a strong possibility, whereas transmission between cases with genetically distinct bacterial isolates can be excluded. However, undetected mixed infections-infection with ≥2 unrelated strains of the same species where only one is sequenced-potentially im...

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Publication status:
Published
Peer review status:
Peer reviewed
Version:
Publisher's version

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10.1371/journal.pcbi.1003059

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Department:
Oxford, MSD, NDM, NDM Experimental Medicine
Role:
Author
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Department:
Oxford, MSD, RDM, RDM Clinical Laboratory Sciences
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Author
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Department:
Oxford, MSD, NDM, NDM Experimental Medicine, Biomedical Research Centre
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Author
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Wellcome Trust More from this funder
Department of Health More from this funder
Medical Research Council More from this funder
Biotechnology and Biological Sciences Research Council More from this funder
Publisher:
Public Library of Science Publisher's website
Journal:
PLoS computational biology Journal website
Volume:
9
Issue:
5
Pages:
e1003059
Publication date:
2013-05-02
DOI:
EISSN:
1553-7358
ISSN:
1553-734X
Pubs id:
pubs:401501
URN:
uri:2b40254c-3bbd-4e63-a25f-b98a962bcc9c
UUID:
uuid:2b40254c-3bbd-4e63-a25f-b98a962bcc9c
Local pid:
pubs:401501
Paper number:
5

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