Abstract

Female Aedes aegypti mosquitoes impose a severe global public health burden as vectors of multiple viral pathogens. Under optimal environmental conditions, Aedes aegypti females have access to human hosts that provide blood proteins for egg development, conspecific males that provide sperm for fertilization, and freshwater that serves as an egg-laying substrate suitable for offspring survival. As global temperatures rise, Aedes aegypti females are faced with climate challenges like intense droughts and intermittent precipitation, which create unpredictable, suboptimal conditions for egg-laying. Here we show that under drought-like conditions simulated in the laboratory, females retain mature eggs in their ovaries for extended periods, while maintaining the viability of these eggs until they can be laid in freshwater. Using transcriptomic and proteomic profiling of Aedes aegypti ovaries, we identify two previously uncharacterized genes named tweedledee and tweedledum, each encoding a small, secreted protein that both show ovary-enriched, temporally-restricted expression during egg retention. These genes are mosquito-specific, linked within a syntenic locus, and rapidly evolving under positive selection, raising the possibility that they serve an adaptive function. CRISPR-Cas9 deletion of both tweedledee and tweedledum demonstrates that they are specifically required for extended retention of viable eggs. These results highlight an elegant example of taxon-restricted genes at the heart of an important adaptation that equips Aedes aegypti females with 'insurance' to flexibly extend their reproductive schedule without losing reproductive capacity, thus allowing this species to exploit unpredictable habitats in a changing world.

Data availability

RNA-sequencing data have been deposited in GEO under accession code GSE193470.The mass spectrometry proteomics data have been deposited to the ProteomeXchange Consortium via the PRIDE partner repository with the dataset identifier PXD030925. Ovary sample raw files begin with the code "MS205850LUM". Hemolymph sample raw files begin with the code "MS195106LUM".All raw data included in the figures are available at Zenodo: https://doi.org/10.5281/zenodo.5945525

The following data sets were generated

Article and author information

Author details

  1. Krithika Venkataraman

    Laboratory of Neurogenetics and Behavior, Rockefeller University, New York, United States
    For correspondence
    krithika.venkataraman@gmail.com
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0002-2067-2387
  2. Nadav Shai

    Laboratory of Neurogenetics and Behavior, Rockefeller University, New York, United States
    Competing interests
    The authors declare that no competing interests exist.
  3. Priyanka Lakhiani

    Laboratory of Neurogenetics and Behavior, Rockefeller University, New York, United States
    Competing interests
    The authors declare that no competing interests exist.
  4. Sarah Zylka

    Laboratory of Neurogenetics and Behavior, Rockefeller University, New York, United States
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0002-7311-2981
  5. Jieqing Zhao

    Laboratory of Neurogenetics and Behavior, Rockefeller University, New York, United States
    Competing interests
    The authors declare that no competing interests exist.
  6. Margaret Herre

    Laboratory of Neurogenetics and Behavior, Rockefeller University, New York, United States
    Competing interests
    The authors declare that no competing interests exist.
  7. Joshua Zeng

    Laboratory of Neurogenetics and Behavior, Rockefeller University, New York, United States
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0002-4694-3309
  8. Lauren A Neal

    Laboratory of Neurogenetics and Behavior, Rockefeller University, New York, United States
    Competing interests
    The authors declare that no competing interests exist.
  9. Henrik Molina

    Proteomics Resource Center, Rockefeller University, New York, United States
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0001-8950-4990
  10. Li Zhao

    Laboratory of Evolutionary Genetics and Genomics, Rockefeller University, New York, United States
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0001-6776-1996
  11. Leslie B Vosshall

    Laboratory of Neurogenetics and Behavior, Rockefeller University, New York, United States
    For correspondence
    leslie@rockefeller.edu
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0002-6060-8099

Funding

Boehringer Ingelheim Fonds (BIF PhD Fellowship)

  • Krithika Venkataraman

Sohn Conferences Foundation

  • Henrik Molina

Monique Weill-Caulier Career Scientist Award

  • Li Zhao

Robertson Foundation

  • Li Zhao

Howard Hughes Medical Institute

  • Leslie B Vosshall

Kavli Foundation (KNSI Pre-doctoral fellowship)

  • Margaret Herre

National Institutes of Health (F30DC017658)

  • Margaret Herre

European Molecular Biology Organization (EMBO ALTF 286-2019)

  • Nadav Shai

National Institutes of Health (MIRA R35GM133780)

  • Li Zhao

Rita Allen Foundation (Rita Allen Scholar)

  • Li Zhao

Vallee Foundation (VS-2020-35)

  • Li Zhao

National Institutes of Health (NRSA Training Grant #GM066699)

  • Lauren A Neal

Leona M. and Harry B. Helmsley Charitable Trust

  • Henrik Molina

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

Ethics

Animal experimentation: Blood-feeding using live mice was approved and monitored by The Rockefeller University Institutional Animal Care and Use Committee (IACUC protocol 17018).

Human subjects: Behavioral experiments and blood-feeding using live hosts were approved and monitored by The Rockefeller University Institutional Review Board (IRB protocol LV-0652). All human subjects gave their written informed consent to participate in this study.

Copyright

© 2023, Venkataraman 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

  • 3,330
    views
  • 443
    downloads
  • 7
    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. Krithika Venkataraman
  2. Nadav Shai
  3. Priyanka Lakhiani
  4. Sarah Zylka
  5. Jieqing Zhao
  6. Margaret Herre
  7. Joshua Zeng
  8. Lauren A Neal
  9. Henrik Molina
  10. Li Zhao
  11. Leslie B Vosshall
(2023)
Two novel, tightly linked, and rapidly evolving genes underlie Aedes aegypti mosquito reproductive resilience during drought
eLife 12:e80489.
https://doi.org/10.7554/eLife.80489

Share this article

https://doi.org/10.7554/eLife.80489

Further reading

    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.

    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.