Globally defining the effects of mutations in a picornavirus capsid

  1. Florian Mattenberger
  2. Victor Latorre
  3. Omer Tirosh
  4. Adi Stern
  5. Ron Geller  Is a corresponding author
  1. Universitat de Valencia, Spain
  2. Tel Aviv University, Israel

Abstract

The capsids of non-enveloped viruses are highly multimeric and multifunctional protein assemblies that play key roles in viral biology and pathogenesis. Despite their importance, a comprehensive understanding of how mutations affect viral fitness across different structural and functional attributes of the capsid is lacking. To address this limitation, we globally define the effects of mutations across the capsid of a human picornavirus. Using this resource, we identify structural and sequence determinants that accurately predict mutational fitness effects, refine evolutionary analyses, and define the sequence specificity of key capsid encoded motifs. Furthermore, capitalizing on the derived sequence requirements for capsid encoded protease cleavage sites, we implement a bioinformatic approach for identifying novel host proteins targeted by viral proteases. Our findings represent the most comprehensive investigation of mutational fitness effects in a picornavirus capsid to date and illuminate important aspects of viral biology, evolution, and host interactions.

Data availability

Sequencing data have been uploaded to SRA (Bioproject PRJNA643896, SRA SRP269871, Accession SRX8663374-SRX8663384). All data used in the paper are either included as supplemental data and/or can be found at https://github.com/RGellerLab/CVB3_Capsid_DMS.

The following data sets were generated

Article and author information

Author details

  1. Florian Mattenberger

    Institute for Integrative Systems Biology, Universitat de Valencia, Paterna, Spain
    Competing interests
    The authors declare that no competing interests exist.
  2. Victor Latorre

    Institute for Integrative Systems Biology, Universitat de Valencia, Paterna, Spain
    Competing interests
    The authors declare that no competing interests exist.
  3. Omer Tirosh

    School of Molecular Cell Biology and Biotechnology, Tel Aviv University, Tel-Aviv, Israel
    Competing interests
    The authors declare that no competing interests exist.
  4. Adi Stern

    School of Molecular Cell Biology and Biotechnology, Tel Aviv University, Tel-Aviv, Israel
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0002-2919-3542
  5. Ron Geller

    Institute for Integrative Systems Biology, Universitat de Valencia, Paterna, Spain
    For correspondence
    ron.geller@uv.es
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0002-7612-4611

Funding

Ministerio de Ciencia, Innovación y Universidades (BFU2017-86094-R)

  • Ron Geller

Ministerio de Economía, Industria y Competitividad, Gobierno de España (RYC-2015-17517)

  • Ron Geller

Ministerio de Economía, Industria y Competitividad, Gobierno de España (BES-2016-076677)

  • Florian Mattenberger

The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.

Copyright

© 2021, Mattenberger et al.

This article is distributed under the terms of the Creative Commons Attribution License permitting unrestricted use and redistribution provided that the original author and source are credited.

Metrics

  • 2,072
    views
  • 259
    downloads
  • 12
    citations

Views, downloads and citations are aggregated across all versions of this paper published by eLife.

Download links

A two-part list of links to download the article, or parts of the article, in various formats.

Downloads (link to download the article as PDF)

Open citations (links to open the citations from this article in various online reference manager services)

Cite this article (links to download the citations from this article in formats compatible with various reference manager tools)

  1. Florian Mattenberger
  2. Victor Latorre
  3. Omer Tirosh
  4. Adi Stern
  5. Ron Geller
(2021)
Globally defining the effects of mutations in a picornavirus capsid
eLife 10:e64256.
https://doi.org/10.7554/eLife.64256

Share this article

https://doi.org/10.7554/eLife.64256

Further reading

    1. Computational and Systems Biology
    2. Evolutionary Biology
    Pierre Barrat-Charlaix, Richard A Neher
    Research Article

    As pathogens spread in a population of hosts, immunity is built up, and the pool of susceptible individuals are depleted. This generates selective pressure, to which many human RNA viruses, such as influenza virus or SARS-CoV-2, respond with rapid antigenic evolution and frequent emergence of immune evasive variants. However, the host’s immune systems adapt, and older immune responses wane, such that escape variants only enjoy a growth advantage for a limited time. If variant growth dynamics and reshaping of host-immunity operate on comparable time scales, viral adaptation is determined by eco-evolutionary interactions that are not captured by models of rapid evolution in a fixed environment. Here, we use a Susceptible/Infected model to describe the interaction between an evolving viral population in a dynamic but immunologically diverse host population. We show that depending on strain cross-immunity, heterogeneity of the host population, and durability of immune responses, escape variants initially grow exponentially, but lose their growth advantage before reaching high frequencies. Their subsequent dynamics follows an anomalous random walk determined by future escape variants and results in variant trajectories that are unpredictable. This model can explain the apparent contradiction between the clearly adaptive nature of antigenic evolution and the quasi-neutral dynamics of high-frequency variants observed for influenza viruses.

    1. Ecology
    2. Evolutionary Biology
    Rebecca D Tarvin, Jeffrey L Coleman ... Richard W Fitch
    Research Article

    Understanding the origins of novel, complex phenotypes is a major goal in evolutionary biology. Poison frogs of the family Dendrobatidae have evolved the novel ability to acquire alkaloids from their diet for chemical defense at least three times. However, taxon sampling for alkaloids has been biased towards colorful species, without similar attention paid to inconspicuous ones that are often assumed to be undefended. As a result, our understanding of how chemical defense evolved in this group is incomplete. Here, we provide new data showing that, in contrast to previous studies, species from each undefended poison frog clade have measurable yet low amounts of alkaloids. We confirm that undefended dendrobatids regularly consume mites and ants, which are known sources of alkaloids. Thus, our data suggest that diet is insufficient to explain the defended phenotype. Our data support the existence of a phenotypic intermediate between toxin consumption and sequestration — passive accumulation — that differs from sequestration in that it involves no derived forms of transport and storage mechanisms yet results in low levels of toxin accumulation. We discuss the concept of passive accumulation and its potential role in the origin of chemical defenses in poison frogs and other toxin-sequestering organisms. In light of ideas from pharmacokinetics, we incorporate new and old data from poison frogs into an evolutionary model that could help explain the origins of acquired chemical defenses in animals and provide insight into the molecular processes that govern the fate of ingested toxins.