Evidence map›Paper›PMID 29590010›Full record

ArticleeLife2018

Mapping mutational effects along the evolutionary landscape of HIV envelope.

Hugh K Haddox, Adam S Dingens, Sarah K Hilton, Julie Overbaugh, Jesse D Bloom

Abstract read
In one paragraph

Article in eLife, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 99 papers.

0numbers the graph read from it
0cells of the map it votes in
99citing 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

99 citing papers in PubMed.

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  15. Fitness Landscapes of APOBEC3G Antagonism by HIV-1 Vif proteins.bioRxiv : the preprint server for biology · 2025
    Article
  16. Review
  17. Article
  18. Article
  19. Article
  20. Article

39 more citing papers are in PubMed but not listed here.

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

5 authors.

Hugh K Haddox *Basic Sciences Division and Computational Biology Program, Fred Hutchinson Cancer Research Center, Seattle, United States.
Adam S Dingens *Basic Sciences Division and Computational Biology Program, Fred Hutchinson Cancer Research Center, Seattle, United States.ORCID http://orcid.org/0000-0001-9603-9409
Sarah K HiltonBasic Sciences Division and Computational Biology Program, Fred Hutchinson Cancer Research Center, Seattle, United States.
Julie OverbaughHuman Biology Division, Fred Hutchinson Cancer Research Center, Seattle, United States.
Jesse D BloomBasic Sciences Division and Computational Biology Program, Fred Hutchinson Cancer Research Center, Seattle, United States.ORCID http://orcid.org/0000-0003-1267-3408

Funding

TRAINING IN MOLECULAR AND CELLULAR BIOLOGYT32GM007270 · NIGMS · UNIVERSITY OF WASHINGTON · PI RAIBLE, DAVID W · 1985 to 2020
$21.0M
TRAINING IN MOLECULAR BIOPHYSICST32GM008268 · NIGMS · UNIVERSITY OF WASHINGTON · PI KOLLMAN, JUSTIN M, ZHENG, NING · 1988 to 2023
$8.6M
TOWARDS A MORE RELEVANT MODEL OF HIV INFECTIONDP1DA039543 · NIDA · FRED HUTCHINSON CANCER RESEARCH CENTER · PI OVERBAUGH, JULIE M. · 2015 to 2019
$4.4M
High-throughput experiments to guide influenza vaccine strain selectionR01AI127893 · NIAID · FRED HUTCHINSON CANCER RESEARCH CENTER · PI BLOOM, JESSE D · 2016 to 2020
$2.1M
Mapping epistasis in molecular evolution: the influenza nucleoproteinR01GM102198 · NIGMS · FRED HUTCHINSON CANCER RESEARCH CENTER · PI BLOOM, JESSE D · 2012 to 2016
$1.6M
Howard Hughes Medical Institute Faculty Scholar GrantNIAID NIH HHS R01 AI127893NIDA NIH HHS DP1 DA039543NIGMS NIH HHS R01 GM102198NIGMS NIH HHS T32 GM007270NIGMS NIH HHS T32 GM008268NIH HHS DP1-DA039543NIH HHS R01-AI127893NIH HHS T32GM007270
6 · The paper itself

Abstract

The immediate evolutionary space accessible to HIV is largely determined by how single amino acid mutations affect fitness. These mutational effects can shift as the virus evolves. However, the prevalence of such shifts in mutational effects remains unclear. Here, we quantify the effects on viral growth of all amino acid mutations to two HIV envelope (Env) proteins that differ at [Formula: see text]100 residues. Most mutations similarly affect both Envs, but the amino acid preferences of a minority of sites have clearly shifted. These shifted sites usually prefer a specific amino acid in one Env, but tolerate many amino acids in the other. Surprisingly, shifts are only slightly enriched at sites that have substituted between the Envs-and many occur at residues that do not even contact substitutions. Therefore, long-range epistasis can unpredictably shift Env's mutational tolerance during HIV evolution, although the amino acid preferences of most sites are conserved between moderately diverged viral strains.

Indexed as

Evolution, MolecularGenetic FitnessAmino Acid Substitutionenv Gene Products, Human Immunodeficiency VirusHIVMutant Proteinsenv Gene Products, Human Immunodeficiency VirusMutant ProteinsBG505deep mutational scanningepistasisevolutionary biologyExpCMgenomicsinfectious diseasemicrobiologypositive selectiontransmitted-founder virusvirus

Identifiers

PMID29590010
PMCPMC5910023

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.