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Genomic analysis of local variation and recent evolution in Plasmodium vivax

Abstract:
The widespread distribution and relapsing nature of Plasmodium vivax infection present major challenges for malaria elimination. To characterise the genetic diversity of this parasite within individual infections and across the population, we performed deep genome sequencing of >200 clinical samples collected across the Asia-Pacific region, and analysed data on >300,000 SNPs and 9 regions of the genome with large structural variations. Individual infections showed complex patterns of genetic structure, with variation not only in the number of dominant clones but also in their level of relatedness and inbreeding. At the population level, we observed strong signals of recent evolutionary selection both in known drug resistance genes and at novel loci, and these varied markedly between geographical locations. These findings reveal a dynamic landscape of local evolutionary adaptation in P. vivax populations, and provide a foundation for genomic surveillance to guide effective strategies for control and elimination.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1038/ng.3599

Authors


More by this author
Institution:
University of Oxford
Division:
MSD
Department:
NDM
Sub department:
NDM Strategic
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MSD
Department:
NDM
Sub department:
Human Genetics Wt Centre
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MSD
Department:
NDM
Sub department:
Human Genetics Wt Centre
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MSD
Department:
NDM
Sub department:
Tropical Medicine
Role:
Author


Publisher:
Nature Publishing Group
Journal:
Nature Genetics More from this journal
Volume:
48
Pages:
959–964
Publication date:
2016-01-01
Acceptance date:
2016-04-21
DOI:
EISSN:
1546-1718
ISSN:
1061-4036


Pubs id:
pubs:617207
UUID:
uuid:9dd25c92-466b-4ff6-a56e-d9b7f5a20d25
Local pid:
pubs:617207
Source identifiers:
617207
Deposit date:
2016-04-22

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