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Reconstructing the Dynamics of HIV Evolution within Hosts from Serial Deep Sequence Data

Overview of attention for article published in PLoS Computational Biology, November 2012
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Title
Reconstructing the Dynamics of HIV Evolution within Hosts from Serial Deep Sequence Data
Published in
PLoS Computational Biology, November 2012
DOI 10.1371/journal.pcbi.1002753
Pubmed ID
Authors

Art F. Y. Poon, Luke C. Swenson, Evelien M. Bunnik, Diana Edo-Matas, Hanneke Schuitemaker, Angélique B. van 't Wout, P. Richard Harrigan

Abstract

At the early stage of infection, human immunodeficiency virus (HIV)-1 predominantly uses the CCR5 coreceptor for host cell entry. The subsequent emergence of HIV variants that use the CXCR4 coreceptor in roughly half of all infections is associated with an accelerated decline of CD4+ T-cells and rate of progression to AIDS. The presence of a 'fitness valley' separating CCR5- and CXCR4-using genotypes is postulated to be a biological determinant of whether the HIV coreceptor switch occurs. Using phylogenetic methods to reconstruct the evolutionary dynamics of HIV within hosts enables us to discriminate between competing models of this process. We have developed a phylogenetic pipeline for the molecular clock analysis, ancestral reconstruction, and visualization of deep sequence data. These data were generated by next-generation sequencing of HIV RNA extracted from longitudinal serum samples (median 7 time points) from 8 untreated subjects with chronic HIV infections (Amsterdam Cohort Studies on HIV-1 infection and AIDS). We used the known dates of sampling to directly estimate rates of evolution and to map ancestral mutations to a reconstructed timeline in units of days. HIV coreceptor usage was predicted from reconstructed ancestral sequences using the geno2pheno algorithm. We determined that the first mutations contributing to CXCR4 use emerged about 16 (per subject range 4 to 30) months before the earliest predicted CXCR4-using ancestor, which preceded the first positive cell-based assay of CXCR4 usage by 10 (range 5 to 25) months. CXCR4 usage arose in multiple lineages within 5 of 8 subjects, and ancestral lineages following alternate mutational pathways before going extinct were common. We observed highly patient-specific distributions and time-scales of mutation accumulation, implying that the role of a fitness valley is contingent on the genotype of the transmitted variant.

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Geographical breakdown

Country Count As %
United States 5 4%
Canada 4 3%
Hungary 1 <1%
United Kingdom 1 <1%
France 1 <1%
Spain 1 <1%
India 1 <1%
Unknown 110 89%

Demographic breakdown

Readers by professional status Count As %
Researcher 33 27%
Student > Ph. D. Student 29 23%
Student > Master 14 11%
Student > Bachelor 7 6%
Professor 7 6%
Other 23 19%
Unknown 11 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 40 32%
Biochemistry, Genetics and Molecular Biology 23 19%
Medicine and Dentistry 15 12%
Computer Science 6 5%
Immunology and Microbiology 5 4%
Other 20 16%
Unknown 15 12%