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Wolf S, Collatz J, Enkerli J, Widmer F, Romeis J. Assessing potential hybridization between a hypothetical gene drive-modified Drosophila suzukii and nontarget Drosophila species. RISK ANALYSIS : AN OFFICIAL PUBLICATION OF THE SOCIETY FOR RISK ANALYSIS 2023; 43:1921-1932. [PMID: 36693350 DOI: 10.1111/risa.14096] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/03/2022] [Revised: 11/30/2022] [Accepted: 12/01/2022] [Indexed: 06/17/2023]
Abstract
Genetically engineered gene drives (geGD) are potentially powerful tools for suppressing or even eradicating populations of pest insects. Before living geGD insects can be released into the environment, they must pass an environmental risk assessment to ensure that their release will not cause unacceptable harm to non-targeted entities of the environment. A key research question concerns the likelihood that nontarget species will acquire the functional GD elements; such acquisition could lead to reduced abundance or loss of those species and to a disruption of the ecosystem services they provide. The main route for gene flow is through hybridization between the geGD insect strain and closely related species that co-occur in the area of release and its expected dispersal. Using the invasive spotted-wing drosophila, Drosophila suzukii, as a case study, we provide a generally applicable strategy on how a combination of interspecific hybridization experiments, behavioral observations, and molecular genetic analyses can be used to assess the potential for hybridization.
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Affiliation(s)
- Sarah Wolf
- Research Division Agroecology and Environment, Agroscope, Zürich, Switzerland
- Institute for Plant Sciences, University of Bern, Bern, Switzerland
| | - Jana Collatz
- Research Division Agroecology and Environment, Agroscope, Zürich, Switzerland
| | - Jürg Enkerli
- Molecular Ecology, Agroscope, Zürich, Switzerland
| | | | - Jörg Romeis
- Research Division Agroecology and Environment, Agroscope, Zürich, Switzerland
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Combs MA, Golnar AJ, Overcash JM, Lloyd AL, Hayes KR, O'Brochta DA, Pepin KM. Leveraging eco-evolutionary models for gene drive risk assessment. Trends Genet 2023:S0168-9525(23)00090-2. [PMID: 37198063 DOI: 10.1016/j.tig.2023.04.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2023] [Revised: 04/07/2023] [Accepted: 04/14/2023] [Indexed: 05/19/2023]
Abstract
Engineered gene drives create potential for both widespread benefits and irreversible harms to ecosystems. CRISPR-based systems of allelic conversion have rapidly accelerated gene drive research across diverse taxa, putting field trials and their necessary risk assessments on the horizon. Dynamic process-based models provide flexible quantitative platforms to predict gene drive outcomes in the context of system-specific ecological and evolutionary features. Here, we synthesize gene drive dynamic modeling studies to highlight research trends, knowledge gaps, and emergent principles, organized around their genetic, demographic, spatial, environmental, and implementation features. We identify the phenomena that most significantly influence model predictions, discuss limitations of biological complexity and uncertainty, and provide insights to promote responsible development and model-assisted risk assessment of gene drives.
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Affiliation(s)
- Matthew A Combs
- National Wildlife Research Center, United States Department of Agriculture, Animal and Plant Health Inspection Service, Wildlife Services, Fort Collins, CO, 80521, USA.
| | - Andrew J Golnar
- National Wildlife Research Center, United States Department of Agriculture, Animal and Plant Health Inspection Service, Wildlife Services, Fort Collins, CO, 80521, USA
| | - Justin M Overcash
- United States Department of Agriculture, Animal and Plant Health Inspection Service, Biotechnology Regulatory Services, 20737, USA
| | - Alun L Lloyd
- North Carolina State University, Biomathematics Graduate Program and Department of Mathematics, Raleigh, NC, 27695, USA
| | - Keith R Hayes
- The Commonwealth Scientific and Industrial Research Organisation, Data 61, Hobart, TAS, 7004, Australia
| | - David A O'Brochta
- Foundation for the National Institutes of Health, North Bethesda, MD, 20852, USA
| | - Kim M Pepin
- National Wildlife Research Center, United States Department of Agriculture, Animal and Plant Health Inspection Service, Wildlife Services, Fort Collins, CO, 80521, USA
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