Evidence map›Paper›PMID 14562964›Full record

ArticleJournal of molecular evolution2003

Widespread adaptive evolution in the human immunodeficiency virus type 1 genome.

Wa Yang, Joseph P Bielawski, Ziheng Yang

Abstract readComparative Study
PubMed Publisher
In one paragraph

Article in Journal of molecular evolution, 2003. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

41 citing papers in PubMed.

  1. Article
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  5. Comparative Genomic Analysis ofBioMed research international · 2019
    Article
  6. Large Scale Analyses and Visualization of Adaptive Amino Acid Changes Projects.Interdisciplinary sciences, computational life sciences · 2018
    Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Wa YangDepartment of Biology, University College London, Darwin Building, Gower Street, London WC1E 6BT, UK.
Joseph P Bielawski
Ziheng Yang

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We investigated variable selective pressures among amino acid sites in HIV-1 genes. Selective pressure at the amino acid level was measured by using the nonsynonymous/synonymous substitution rate ratio (omega = dN/dS). To identify amino acid sites under positive selection with omega > 1, we applied maximum likelihood models that allow variable omega ratios among sites to analyze genomic sequences of 26 HIV-1 lineages including subtypes A, B, and C. Likelihood ratio tests detected sites under positive selection in each of the major genes in the genome: env, gag, pol, vif, and vpr. Positive selection was also detected in nef, tat, and vpu, although those genes are very small. The majority of positive selection sites is located in gp160. Positive selection was not detected if omega was estimated as an average across all sites, indicating the lack of power of the averaging approach. Candidate positive selection sites were mapped onto the available protein tertiary structures and immunogenic epitopes. We measured the physiochemical properties of amino acids and found that those at positive selection sites were more diverse than those at variable sites. Furthermore, amino acid residues at exposed positive selection sites were more physiochemically diverse than at buried positive selection sites. Our results demonstrate genomewide diversifying selection acting on the HIV-1.

Indexed as

Evolution, MolecularGenome, ViralSelection, GeneticAmino Acid SequenceEpitope MappingHIV-1HumansLikelihood FunctionsModels, GeneticRecombination, GeneticSequence Homology, Amino Acid

Identifiers

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.