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Journal article

Genomic analysis of the evolution and global spread of hyper-invasive meningococcal lineage 5.

Abstract:

Background: The predominant model for bacterial pandemics is the emergence of a virulent variant that diversifies as it spreads in human populations. We investigated a 40-year meningococcal disease pandemic caused by the hyper-invasive ET-5/ST-32 complex.

Methods: A global collection of Neisseria meningitidis isolates dating from 1969 to 2008 was whole genome sequenced (WGS) and analysed using a gene-by-gene approach at http://pubmlst.org/neisseria.

Findings: Analysis of WGS data identified a ‘Lineage 5 pan genome’ of 1940 genes, 1752 (92%) of which were present in all isolates (Lineage 5 ‘core genome’). Genetic diversity, which was mostly generated by horizontal gene transfer, was unevenly distributed in the genome; however, genealogical analysis of diverse and conserved core genes, accessory genes, and antigen encoding genes, robustly identified a star phylogeny with a number of sub-lineages. Most European and American isolates belonged to one of two closely related sub-lineages, which had diversified before the identification of the pandemic in the 1970s. A third, genetically more diverse sub-lineage, was associated with Asian isolates. Several isolates had acquired DNA from the related gonococcus.

Interpretation: These data were inconsistent with a single point of origin followed by pandemic spread, rather suggesting that the sub-lineages had diversified and spread by asymptomatic transmission, with multiple distinct strains causing localised hyperendemic outbreaks.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1016/j.ebiom.2015.01.004

Authors


More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Zoology
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Zoology
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Zoology
Role:
Author


Publisher:
Elsevier
Journal:
EBioMedicine More from this journal
Volume:
2
Issue:
3
Pages:
234-243
Publication date:
2015-01-13
Acceptance date:
2015-01-12
DOI:
EISSN:
2352-3964
ISSN:
2352-3964


Language:
English
Keywords:
Pubs id:
pubs:525582
UUID:
uuid:597db3ec-58be-47a2-9700-5d594c8b431b
Local pid:
pubs:525582
Source identifiers:
525582
Deposit date:
2016-03-10

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