| Literature DB >> 29629849 |
Devora A Najjar1, Avery M Normandin1, Elizabeth A Strait1, Kevin M Esvelt1.
Abstract
The prospect of using genetic methods to target vector, parasite, and reservoir species offers tremendous potential benefits to public health, but the use of genome editing to alter the shared environment will require special attention to public perception and community governance in order to benefit the world. Public skepticism combined with the media scrutiny of gene drive systems could easily derail unpopular projects entirely, especially given the potential for trade barriers to be raised against countries that employ self-propagating gene drives. Hence, open and community-guided development of thoughtfully chosen applications is not only the most ethical approach, but also the most likely to overcome the economic, social, and diplomatic barriers. Here we review current and past attempts to alter ecosystems using biological methods, identify key determinants of social acceptance, and chart a stepwise path for developers towards safe and widely supported use.Entities:
Keywords: Gene drive; Lyme; community engagement; dengue; ecotechnology; malaria; open science
Mesh:
Year: 2018 PMID: 29629849 PMCID: PMC6066850 DOI: 10.1080/20477724.2018.1452844
Source DB: PubMed Journal: Pathog Glob Health ISSN: 2047-7724 Impact factor: 2.894
Figure 1.Key considerations for applications of ecotechnologies.
Figure 2.Public perception. The sterile males produced by MosquitoMate and Oxitec are functionally equivalent, but the difference in public perception was striking - possibly because artificial Wolbachia infection is perceived as more “natural” than editing the mosquito genome.
Figure 3.Community involvement. In the Responsive Science model, scientists engage longitudinally with communities and regulatory bodies. Ideally, the process should precede laboratory research.
Figure 4.Scale. Local interventions can be developed in collaboration with early adopter communities and may be released after receiving regulatory approval from a single country. Interventions anticipated to spread without limit on their own are difficult to safely test at small scale and can face diplomatic complications given the likelihood of international spread.
Figure 5.Geographic impacts of different gene drive types. (A) A depiction of the gene flow from a site of release through three interconnected geographic populations. (B) A self-propagating gene drive. (C) A threshold-dependent drive released at a frequency below the threshold. (D) A threshold-dependent drive released at a frequency above the threshold. (E) A self-exhausting drive released at comparatively low frequency. (F) A self-exhausting drive released at higher frequency. All depictions are approximate as exact values depend on drive efficiency, fitness cost, and other parameters.
Different classes of gene drive systems, the expected extent of spread, and applications.
| Type of drive system | Anticipated spread | Best for |
|---|---|---|
| Self-Propagating | Can spread to most populations of the target species given gene flow | Time-sensitive, large-scale ecological issues with few alternative solutions (e.g. malaria) |
| Threshold-Dependent | Can spread within local populations if released above a given threshold; limits gene flow | Local ecological problems where it is acceptable to release large number of organisms and gene flow is a problem |
| Self-Exhausting | Can spread transiently within local and adjacent populations to an extent determined by gene flow | Local ecological problems where few organisms can be released and gene flow is not a problem |
| Self-Exhausting + Threshold | Can spread transiently within a local population and persists only if it exceeds a threshold frequency; limits gene flow | Community-by-community decision making |