Evidence map›Paper›PMID 42330076›Full record

ArticlePLoS pathogens2026

Deep mutational scanning of recent SARS-CoV-2 variants highlights changing amino acid preferences within epistatic hotspot residues.

Ashley L Taylor, Tyler N Starr

Abstract read
In one paragraph

Article in PLoS pathogens, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

What it found

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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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
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

2 authors.

Ashley L TaylorDepartment of Biochemistry, University of Utah School of Medicine, Salt Lake City, Utah, United States of America.
Tyler N StarrDepartment of Biochemistry, University of Utah School of Medicine, Salt Lake City, Utah, United States of America.ORCID https://orcid.org/0000-0001-6713-6904

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Deep mutational scans across receptor-binding domains (RBDs) of diverging SARS-CoV-2 variants reveal ongoing changes to the effects of mutations, a phenomenon known as epistasis. Careful accounting for these altered mutational effects is important in viral surveillance and forecasting, and more broadly, for understanding the impacts of epistasis on real-world viral evolutionary trajectories. Using a yeast-display RBD deep mutational scanning (DMS) platform, we measure the impacts of virtually all single amino acid mutations and single-residue deletions in the Omicron KP.3.1.1 and LP.8.1 RBDs on folded RBD expression and binding affinity for the human ACE2 receptor. Our comprehensive maps reveal patterns of evolutionary accessibility and constraint at single-residue resolution and, when compared to prior datasets, highlight sites whose amino acid preferences continue to change across viral variants. Notably, sites 455, 456, and 493 - which have exhibited repeated substitutions and epistatic dependencies across Omicron subvariants going back to BA.1 - again demonstrate altered patterns of mutational accessibility and constraint. Therefore, it appears that these hotspots of repeated RBD evolution have not yet converged on fixed amino acid solutions but instead remain sites of ongoing epistatic reconfiguration. We compare our measurements of direct RBD:ACE2 affinity with recently published measurements of mutation impacts on ACE2 binding in the full quaternary spike context, which also integrates the effects of spike conformational dynamics; our analysis uncovers mutations like H505W that could favor adoption of the down/closed RBD conformation as a viral strategy for future antigenic evolution.

Indexed as

COVID-19Epistasis, GeneticSARS-CoV-2Spike Glycoprotein, CoronavirusAmino AcidsAmino Acid SubstitutionAngiotensin-Converting Enzyme 2Binding SitesEvolution, MolecularHumansMutationProtein BindingACE2 protein, humanAmino AcidsAngiotensin-Converting Enzyme 2Spike Glycoprotein, Coronavirusspike protein, SARS-CoV-2

Identifiers

PMID42330076
PMCPMC13309016

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LicenceCC BY
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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.