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Clark AC, Alexander A, Edison R, Esvelt K, Kamau S, Dutoit L, Champer J, Champer SE, Messer PW, Gemmell NJ. A framework for identifying fertility gene targets for mammalian pest control. bioRxiv 2023:2023.05.30.542751. [PMID: 37398071 PMCID: PMC10312551 DOI: 10.1101/2023.05.30.542751] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/04/2023]
Abstract
Fertility-targeted gene drives have been proposed as an ethical genetic approach for managing wild populations of vertebrate pests for public health and conservation benefit.This manuscript introduces a framework to identify and evaluate target gene suitability based on biological gene function, gene expression, and results from mouse knockout models.This framework identified 16 genes essential for male fertility and 12 genes important for female fertility that may be feasible targets for mammalian gene drives and other non-drive genetic pest control technology. Further, a comparative genomics analysis demonstrates the conservation of the identified genes across several globally significant invasive mammals.In addition to providing important considerations for identifying candidate genes, our framework and the genes identified in this study may have utility in developing additional pest control tools such as wildlife contraceptives.
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Affiliation(s)
- Anna C Clark
- Department of Anatomy, School of Biomedical Sciences, University of Otago, 270 Great King Street, Central Dunedin, Dunedin 9016, New Zealand
- Department of Computational Biology, Cornell University, 102 Tower Rd, Ithaca, NY 14853, United States
| | - Alana Alexander
- Department of Anatomy, School of Biomedical Sciences, University of Otago, 270 Great King Street, Central Dunedin, Dunedin 9016, New Zealand
| | - Rey Edison
- Media Laboratory, Massachusetts Institute of Technology, 75 Amherst St, Cambridge, United States
| | - Kevin Esvelt
- Media Laboratory, Massachusetts Institute of Technology, 75 Amherst St, Cambridge, United States
| | - Sebastian Kamau
- Media Laboratory, Massachusetts Institute of Technology, 75 Amherst St, Cambridge, United States
| | - Ludovic Dutoit
- Department of Zoology, University of Otago, 340 Great King Street, Dunedin 9016, New Zealand
| | - Jackson Champer
- Center for Bioinformatics, School of Life Sciences, Peking-Tsinghua Center for Life Sciences, Peking University, Beijing, China
| | - Samuel E Champer
- Department of Computational Biology, Cornell University, 102 Tower Rd, Ithaca, NY 14853, United States
| | - Philipp W Messer
- Department of Computational Biology, Cornell University, 102 Tower Rd, Ithaca, NY 14853, United States
| | - Neil J Gemmell
- Department of Anatomy, School of Biomedical Sciences, University of Otago, 270 Great King Street, Central Dunedin, Dunedin 9016, New Zealand
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