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Faster adaptation in smaller populations: Counterintuitive evolution of HIV during childhood infection.

Abstract:

Analysis of HIV-1 gene sequences sampled longitudinally from infected individuals can reveal the evolutionary dynamics that underlie associations between disease outcome and viral genetic diversity and divergence. Here we extend a statistical framework to estimate rates of viral molecular adaptation by considering sampling error when computing nucleotide site-frequencies. This is particularly beneficial when analyzing viral sequences from within-host viral infections if the number of sequence...

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

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Publisher copy:
10.1371/journal.pcbi.1004694

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Institution:
University of Oxford
Department:
Oxford, MPLS, Zoology
Role:
Author
More by this author
Institution:
University of Oxford
Department:
Oxford, MPLS, Zoology
Role:
Author
More by this author
Institution:
University of Oxford
Department:
Oxford, MPLS, Zoology
Role:
Author
More from this funder
Funding agency for:
Raghwani, J
Publisher:
Public Library of Science Publisher's website
Journal:
PLoS Computational Biology Journal website
Volume:
12
Issue:
1
Pages:
e1004694
Chapter number:
ARTN e1004694
Publication date:
2016-01-05
DOI:
EISSN:
1553-7358
ISSN:
1553-734X
URN:
uuid:15cd8b5c-9d1d-467c-b695-60f97d6f133b
Source identifiers:
588116
Local pid:
pubs:588116
Language:
English

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