Comparative analysis of deep mutational scanning datasets in enteroviruses A and B identifies functional divergence and therapeutic targets

Deep mutational scanning (DMS) can define functional constraints acting on viral proteomes by quantifying the effects of mutations on viral fitness. However, DMS analyses do not discern type-specific from species-level constraints, limiting their utility in understanding how selective pressures change as viral families diversify. Here we show that comparison of DMS datasets from related viruses can overcome these limitations. By contrasting two proteome-wide DMS datasets from prototypical members of the enterovirus A and B species, we identify evolutionary constraints at the species level to occur across core enzymatic machinery and capsid assembly interfaces. In contrast, type-level constraints are observed across host-interaction sites in both structural and non-structural proteins. Furthermore, we find DMS data to reflect both type- and species-level evolutionary signatures in nature yet diverge at conserved hotspots subjected to selection pressures that are lacking in vitro. Finally, we highlight the utility of comparative DMS studies for drug discovery by identifying a mutationally constrained pocket in the 2C helicase that is conserved across all major human enterovirus species. Our findings provide a framework for dissecting evolutionary pressures acting at different evolutionary scales and for guiding the rational design of broad-spectrum therapeutics with high barriers to resistance.

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Publication Details

Journal
Nature Ecology & Evolution
Published
2026-02-23
DOI
https://doi.org/10.1038/s41559-026-02993-8
Primary Topic
Viral Infections and Immunology Research
Type
article
Field-Weighted Citation Impact
0.00

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article

Comparative analysis of deep mutational scanning datasets in enteroviruses A and B identifies functional divergence and therapeutic targets

Lauren McCormick, Patrick Dolan, William Bakhache, Ron Geller et al.
Nature Ecology & Evolution
Viral Infections and Immunology Research
article

Comparative analysis of deep mutational scanning datasets in enteroviruses A and B identifies functional divergence and therapeutic targets

Lauren McCormick, Patrick Dolan, William Bakhache, Ron Geller, Beatriz Álvarez-Rodríguez
article en

Abstract

Deep mutational scanning (DMS) can define functional constraints acting on viral proteomes by quantifying the effects of mutations on viral fitness. However, DMS analyses do not discern type-specific from species-level constraints, limiting their utility in understanding how selective pressures change as viral families diversify. Here we show that comparison of DMS datasets from related viruses can overcome these limitations. By contrasting two proteome-wide DMS datasets from prototypical members of the enterovirus A and B species, we identify evolutionary constraints at the species level to occur across core enzymatic machinery and capsid assembly interfaces. In contrast, type-level constraints are observed across host-interaction sites in both structural and non-structural proteins. Furthermore, we find DMS data to reflect both type- and species-level evolutionary signatures in nature yet diverge at conserved hotspots subjected to selection pressures that are lacking in vitro. Finally, we highlight the utility of comparative DMS studies for drug discovery by identifying a mutationally constrained pocket in the 2C helicase that is conserved across all major human enterovirus species. Our findings provide a framework for dissecting evolutionary pressures acting at different evolutionary scales and for guiding the rational design of broad-spectrum therapeutics with high barriers to resistance.

Nature Ecology & EvolutionVol. 10(3)
Universitat de València (ES), University of Oxford (GB), Office of Extramural Research (US), Institute for Integrative Systems Biology (ES)
U.S. Department of Health and Human Services, Ministerio de Ciencia, Innovación y Universidades, European Commission, National Institutes of Health, Agencia Estatal de Investigación, National Institute of Allergy and Infectious Diseases, NHLBI Division of Intramural Research
Openalex Percentile: Top 50%
Viral Infections and Immunology Research
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