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Molecular clock of HIV-1 envelope genes under early immune selection

Overview of attention for article published in Retrovirology, June 2016
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  • Good Attention Score compared to outputs of the same age (65th percentile)
  • Good Attention Score compared to outputs of the same age and source (65th percentile)

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Title
Molecular clock of HIV-1 envelope genes under early immune selection
Published in
Retrovirology, June 2016
DOI 10.1186/s12977-016-0269-6
Pubmed ID
Authors

Sung Yong Park, Tanzy M. T. Love, Alan S. Perelson, Wendy J. Mack, Ha Youn Lee

Abstract

The molecular clock hypothesis that genes or proteins evolve at a constant rate is a key tool to reveal phylogenetic relationships among species. Using the molecular clock, we can trace an infection back to transmission using HIV-1 sequences from a single time point. Whether or not a strict molecular clock applies to HIV-1's early evolution in the presence of immune selection has not yet been fully examined. We identified molecular clock signatures from 1587 previously published HIV-1 full envelope gene sequences obtained since acute infection in 15 subjects. Each subject's sequence diversity linearly increased during the first 150 days post infection, with rates ranging from [Formula: see text] to [Formula: see text] with a mean of [Formula: see text] per base per day. The rate of diversification for 12 out of the 15 subjects was comparable to the neutral evolution rate. While temporal diversification was consistent with evolution patterns in the absence of selection, mutations from the founder virus were highly clustered on statistically identified selection sites, which diversified more than 65 times faster than non-selection sites. By mathematically quantifying deviations from the molecular clock under various selection scenarios, we demonstrate that the deviation from a constant clock becomes negligible as multiple escape lineages emerge. The most recent common ancestor of a virus pair from distinct escape lineages is most likely the transmitted founder virus, indicating that HIV-1 molecular dating is feasible even after the founder viruses are no longer detectable. The ability of HIV-1 to escape from immune surveillance in many different directions is the driving force of molecular clock persistence. This finding advances our understanding of the robustness of HIV-1's molecular clock under immune selection, implying the potential for molecular dating.

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X Demographics

The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 33 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 6 18%
Researcher 6 18%
Student > Bachelor 5 15%
Student > Doctoral Student 4 12%
Professor > Associate Professor 2 6%
Other 3 9%
Unknown 7 21%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 8 24%
Immunology and Microbiology 5 15%
Agricultural and Biological Sciences 5 15%
Engineering 2 6%
Mathematics 1 3%
Other 5 15%
Unknown 7 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 30 December 2022.
All research outputs
#7,892,319
of 25,257,066 outputs
Outputs from Retrovirology
#401
of 1,151 outputs
Outputs of similar age
#116,438
of 346,863 outputs
Outputs of similar age from Retrovirology
#9
of 23 outputs
Altmetric has tracked 25,257,066 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 1,151 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.1. This one has gotten more attention than average, scoring higher than 64% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 346,863 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 65% of its contemporaries.
We're also able to compare this research output to 23 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 65% of its contemporaries.