Principles of dengue virus evolvability derived from genotype-fitness maps in human and mosquito cells

  1. Patrick T Dolan
  2. Shuhei Taguwa
  3. Mauricio Aguilar Rangel
  4. Ashley Acevedo
  5. Tzachi Hagai
  6. Raul Andino  Is a corresponding author
  7. Judith Frydman  Is a corresponding author
  1. University of California, San Francisco, United States
  2. Stanford University, United States
  3. Tel Aviv University, Israel

Abstract

Dengue virus (DENV) cycles between mosquito and mammalian hosts. To examine how DENV populations adapt to these different host environments we used serial passage in human and mosquito cell lines and estimated fitness effects for all single-nucleotide variants in these populations using ultra-deep sequencing. This allowed us to determine the contributions of beneficial and deleterious mutations to the collective fitness of the population. Our analysis revealed that the continuous influx of a large burden of deleterious mutations counterbalances the effect of rare, host-specific beneficial mutations to shape the path of adaptation. Beneficial mutations preferentially map to intrinsically disordered domains in the viral proteome and cluster to defined regions in the genome. These phenotypically redundant adaptive alleles may facilitate host-specific DENV adaptation. Importantly, the evolutionary constraints described in our simple system mirror trends observed across DENV and Zika strains, indicating it recapitulates key biophysical and biological constraints shaping long-term viral evolution.

Data availability

- All data has been deposited and is available at the persistent URL: https://purl.stanford.edu/gv159td5450- All code for analysis and figure generation is deposited in GitHub: https://github.com/ptdolan/Dolan_Taguwa_Dengue_2020- Sequencing Data has been deposited as BioProject: PRJNA669406

The following data sets were generated

Article and author information

Author details

  1. Patrick T Dolan

    Microbiology and Immunology, University of California, San Francisco, San Francisco, United States
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0002-4169-0058
  2. Shuhei Taguwa

    Biology, Stanford University, Stanford, United States
    Competing interests
    The authors declare that no competing interests exist.
  3. Mauricio Aguilar Rangel

    Biology, Stanford University, Stanford, CA, United States
    Competing interests
    The authors declare that no competing interests exist.
  4. Ashley Acevedo

    Microbiology and Immunology, University of California, San Francisco, San Francisco, United States
    Competing interests
    The authors declare that no competing interests exist.
  5. Tzachi Hagai

    George S. Wise Faculty of Life Sciences, Tel Aviv University, Tel Aviv, Israel
    Competing interests
    The authors declare that no competing interests exist.
  6. Raul Andino

    Department of Microbiology and Immunology, University of California, San Francisco, San Francisco, United States
    For correspondence
    raul.andino@ucsf.edu
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0001-5503-9349
  7. Judith Frydman

    Department of Biology, Stanford University, Stanford, United States
    For correspondence
    jfrydman@stanford.edu
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0003-2302-6943

Funding

National Institutes of Health (AI127447,AI36178,AI091575,F32GM113483)

  • Patrick T Dolan
  • Raul Andino
  • Judith Frydman

Naito Foundation

  • Shuhei Taguwa

Uehara Memorial Foundation

  • Shuhei Taguwa

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

Copyright

© 2021, Dolan 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

  • 4,354
    views
  • 573
    downloads
  • 36
    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. Patrick T Dolan
  2. Shuhei Taguwa
  3. Mauricio Aguilar Rangel
  4. Ashley Acevedo
  5. Tzachi Hagai
  6. Raul Andino
  7. Judith Frydman
(2021)
Principles of dengue virus evolvability derived from genotype-fitness maps in human and mosquito cells
eLife 10:e61921.
https://doi.org/10.7554/eLife.61921

Share this article

https://doi.org/10.7554/eLife.61921

Further reading

    1. Evolutionary Biology
    Mattias Siljestam, Claus Rueffler
    Research Article Updated

    The majority of highly polymorphic genes are related to immune functions and with over 100 alleles within a population, genes of the major histocompatibility complex (MHC) are the most polymorphic loci in vertebrates. How such extraordinary polymorphism arose and is maintained is controversial. One possibility is heterozygote advantage (HA), which can in principle maintain any number of alleles, but biologically explicit models based on this mechanism have so far failed to reliably predict the coexistence of significantly more than 10 alleles. We here present an eco-evolutionary model showing that evolution can result in the emergence and maintenance of more than 100 alleles under HA if the following two assumptions are fulfilled: first, pathogens are lethal in the absence of an appropriate immune defence; second, the effect of pathogens depends on host condition, with hosts in poorer condition being affected more strongly. Thus, our results show that HA can be a more potent force in explaining the extraordinary polymorphism found at MHC loci than currently recognised.

    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.