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A common gene drive language eases regulatory process and eco-evolutionary extensions
BACKGROUND: Synthetic gene drive technologies aim to spread transgenic constructs into wild populations even when they impose organismal fitness disadvantages. The extraordinary diversity of plausible drive mechanisms and the range of selective parameters they may encounter makes it very difficult t...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8351217/ https://www.ncbi.nlm.nih.gov/pubmed/34372763 http://dx.doi.org/10.1186/s12862-021-01881-y |
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author | Verma, Prateek Reeves, R. Guy Gokhale, Chaitanya S. |
author_facet | Verma, Prateek Reeves, R. Guy Gokhale, Chaitanya S. |
author_sort | Verma, Prateek |
collection | PubMed |
description | BACKGROUND: Synthetic gene drive technologies aim to spread transgenic constructs into wild populations even when they impose organismal fitness disadvantages. The extraordinary diversity of plausible drive mechanisms and the range of selective parameters they may encounter makes it very difficult to convey their relative predicted properties, particularly where multiple approaches are combined. The sheer number of published manuscripts in this field, experimental and theoretical, the numerous techniques resulting in an explosion in the gene drive vocabulary hinder the regulators’ point of view. We address this concern by defining a simplified parameter based language of synthetic drives. RESULTS: Employing the classical population dynamics approach, we show that different drive construct (replacement) mechanisms can be condensed and evaluated on an equal footing even where they incorporate multiple replacement drives approaches. Using a common language, it is then possible to compare various model properties, a task desired by regulators and policymakers. The generalization allows us to extend the study of the invasion dynamics of replacement drives analytically and, in a spatial setting, the resilience of the released drive constructs. The derived framework is available as a standalone tool. CONCLUSION: Besides comparing available drive constructs, our tool is also useful for educational purpose. Users can also explore the evolutionary dynamics of future hypothetical combination drive scenarios. Thus, our results appraise the properties and robustness of drives and provide an intuitive and objective way for risk assessment, informing policies, and enhancing public engagement with proposed and future gene drive approaches. |
format | Online Article Text |
id | pubmed-8351217 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-83512172021-08-10 A common gene drive language eases regulatory process and eco-evolutionary extensions Verma, Prateek Reeves, R. Guy Gokhale, Chaitanya S. BMC Ecol Evol Research Article BACKGROUND: Synthetic gene drive technologies aim to spread transgenic constructs into wild populations even when they impose organismal fitness disadvantages. The extraordinary diversity of plausible drive mechanisms and the range of selective parameters they may encounter makes it very difficult to convey their relative predicted properties, particularly where multiple approaches are combined. The sheer number of published manuscripts in this field, experimental and theoretical, the numerous techniques resulting in an explosion in the gene drive vocabulary hinder the regulators’ point of view. We address this concern by defining a simplified parameter based language of synthetic drives. RESULTS: Employing the classical population dynamics approach, we show that different drive construct (replacement) mechanisms can be condensed and evaluated on an equal footing even where they incorporate multiple replacement drives approaches. Using a common language, it is then possible to compare various model properties, a task desired by regulators and policymakers. The generalization allows us to extend the study of the invasion dynamics of replacement drives analytically and, in a spatial setting, the resilience of the released drive constructs. The derived framework is available as a standalone tool. CONCLUSION: Besides comparing available drive constructs, our tool is also useful for educational purpose. Users can also explore the evolutionary dynamics of future hypothetical combination drive scenarios. Thus, our results appraise the properties and robustness of drives and provide an intuitive and objective way for risk assessment, informing policies, and enhancing public engagement with proposed and future gene drive approaches. BioMed Central 2021-08-09 /pmc/articles/PMC8351217/ /pubmed/34372763 http://dx.doi.org/10.1186/s12862-021-01881-y Text en © The Author(s) 2021, corrected publication 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Article Verma, Prateek Reeves, R. Guy Gokhale, Chaitanya S. A common gene drive language eases regulatory process and eco-evolutionary extensions |
title | A common gene drive language eases regulatory process and eco-evolutionary extensions |
title_full | A common gene drive language eases regulatory process and eco-evolutionary extensions |
title_fullStr | A common gene drive language eases regulatory process and eco-evolutionary extensions |
title_full_unstemmed | A common gene drive language eases regulatory process and eco-evolutionary extensions |
title_short | A common gene drive language eases regulatory process and eco-evolutionary extensions |
title_sort | common gene drive language eases regulatory process and eco-evolutionary extensions |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8351217/ https://www.ncbi.nlm.nih.gov/pubmed/34372763 http://dx.doi.org/10.1186/s12862-021-01881-y |
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