Targeting sex determination to suppress mosquito populations
Creators
Abstract
Each year, hundreds of millions of people are infected with arboviruses such as dengue, yellow fever, chikungunya, and Zika, which are all primarily spread by the notorious mosquito Aedes aegypti. Traditional control measures have proven insufficient, necessitating innovations. In response, here we generate a next-generation CRISPR-based precision-guided sterile insect technique (pgSIT) for Ae. aegypti that disrupts genes essential for sex determination and fertility, producing predominantly sterile males that can be deployed at any life stage. Using mathematical models and empirical testing, we demonstrate that released pgSIT males can effectively compete with, suppress, and eliminate caged mosquito populations. This versatile species-specific platform has the potential for field deployment to effectively control wild populations of disease vectors.
Copyright and License
© 2023, Li et al. This article is distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use and redistribution provided that the original author and source are credited.
Acknowledgement
We thank Judy Ishikawa for helping with mosquito husbandry and Shih-Che Weng for assistance with DNA/RNA extractions. This work was supported in part by funding from NIH (R01AI151004, R01GM132825, RO1AI148300, RO1AI175152, DP2AI152071), EPA STAR award (RD84020401), and an Open Philanthropy award (309937-0001) awarded to OSA; and the U.S. Army Research Office for the Institute for Collaborative Biotechnologies (W911NF-19-2-0026) and NIH (R01-AI165575) awards to CM; and a NIH (1R01AI143698-01A1) award to JMM. The views, opinions, and/or findings expressed are those of the authors and should not be interpreted as representing the official views or policies of the U.S. government.
The funders had no role in study design, data collection, and interpretation, or the decision to submit the work for publication.
Contributions
Ming Li, Conceptualization, Data curation, Formal analysis, Supervision, Validation, Investigation, Methodology, Writing – original draft, Writing – review and editing; Nikolay P Kandul, Data curation, Investigation, Writing – original draft; Ruichen Sun, Formal analysis, Writing – original draft, Writing – review and editing; Ting Yang, Daniel J Brogan, Formal analysis; Elena D Benetta, Igor Antoshechkin, Héctor M Sánchez C, Nicolas A DeBeaubien, YuMin M Loh, Matthew P Su, Data curation, Formal analysis; Yinpeng Zhan, Data curation, Investigation; Craig Montell, Formal analysis, Funding acquisition, Writing – review and editing; John M Marshall, Formal analysis, Funding acquisition; Omar S Akbari, Conceptualization, Supervision, Funding acquisition, Investigation, Writing – original draft, Project administration, Writing – review and editing
Ethics
All animals were handled in accordance with the Guide for the Care and Use of Laboratory Animals as recommended by the National Institutes of Health and approved by the UCSD Institutional Animal Care and Use Committee (IACUC, Animal Use Protocol #S17187) and UCSD Biological Use Authorization (BUA #R2401).
Conflict of Interest
Ming Li, Nikolay P Kandul: A founder of Synvect with equity interest. The terms of this arrangement have been reviewed and approved by the University of California, San Diego in accordance with its conflict of interest policies. Omar S Akbari: A founder of Agragene, Inc with equity interest. A founder of Synvect with equity interest. The terms of this arrangement have been reviewed and approved by the University of California, San Diego in accordance with its conflict of interest policies. The other authors declare that no competing interests exist.
Files
elife-90199-v1.pdf
Additional details
Funding
- National Institutes of Health
- R01AI151004
- National Institutes of Health
- R01GM132825
- National Institutes of Health
- RO1AI148300
- National Institutes of Health
- RO1AI175152
- National Institutes of Health
- DP2AI152071
- Environmental Protection Agency
- RD84020401
- Open Philanthropy Project
- 309937-0001
- United States Army Research Office
- W911NF-19-2-0026
- National Institutes of Health
- R01-AI165575
- National Institutes of Health
- 1R01AI143698-01A1