将生态学纳入基因驱动建模

IF 7.6 1区 环境科学与生态学 Q1 ECOLOGY Ecology Letters Pub Date : 2023-10-15 DOI:10.1111/ele.14194
Jaehee Kim, Keith D. Harris, Isabel K. Kim, Shahar Shemesh, Philipp W. Messer, Gili Greenbaum
{"title":"将生态学纳入基因驱动建模","authors":"Jaehee Kim,&nbsp;Keith D. Harris,&nbsp;Isabel K. Kim,&nbsp;Shahar Shemesh,&nbsp;Philipp W. Messer,&nbsp;Gili Greenbaum","doi":"10.1111/ele.14194","DOIUrl":null,"url":null,"abstract":"<p>Gene drive technology, in which fast-spreading engineered drive alleles are introduced into wild populations, represents a promising new tool in the fight against vector-borne diseases, agricultural pests and invasive species. Due to the risks involved, gene drives have so far only been tested in laboratory settings while their population-level behaviour is mainly studied using mathematical and computational models. The spread of a gene drive is a rapid evolutionary process that occurs over timescales similar to many ecological processes. This can potentially generate strong eco-evolutionary feedback that could profoundly affect the dynamics and outcome of a gene drive release. We, therefore, argue for the importance of incorporating ecological features into gene drive models. We describe the key ecological features that could affect gene drive behaviour, such as population structure, life-history, environmental variation and mode of selection. We review previous gene drive modelling efforts and identify areas where further research is needed. As gene drive technology approaches the level of field experimentation, it is crucial to evaluate gene drive dynamics, potential outcomes, and risks realistically by including ecological processes.</p>","PeriodicalId":161,"journal":{"name":"Ecology Letters","volume":"26 S1","pages":"S62-S80"},"PeriodicalIF":7.6000,"publicationDate":"2023-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Incorporating ecology into gene drive modelling\",\"authors\":\"Jaehee Kim,&nbsp;Keith D. Harris,&nbsp;Isabel K. Kim,&nbsp;Shahar Shemesh,&nbsp;Philipp W. Messer,&nbsp;Gili Greenbaum\",\"doi\":\"10.1111/ele.14194\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>Gene drive technology, in which fast-spreading engineered drive alleles are introduced into wild populations, represents a promising new tool in the fight against vector-borne diseases, agricultural pests and invasive species. Due to the risks involved, gene drives have so far only been tested in laboratory settings while their population-level behaviour is mainly studied using mathematical and computational models. The spread of a gene drive is a rapid evolutionary process that occurs over timescales similar to many ecological processes. This can potentially generate strong eco-evolutionary feedback that could profoundly affect the dynamics and outcome of a gene drive release. We, therefore, argue for the importance of incorporating ecological features into gene drive models. We describe the key ecological features that could affect gene drive behaviour, such as population structure, life-history, environmental variation and mode of selection. We review previous gene drive modelling efforts and identify areas where further research is needed. As gene drive technology approaches the level of field experimentation, it is crucial to evaluate gene drive dynamics, potential outcomes, and risks realistically by including ecological processes.</p>\",\"PeriodicalId\":161,\"journal\":{\"name\":\"Ecology Letters\",\"volume\":\"26 S1\",\"pages\":\"S62-S80\"},\"PeriodicalIF\":7.6000,\"publicationDate\":\"2023-10-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Ecology Letters\",\"FirstCategoryId\":\"93\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1111/ele.14194\",\"RegionNum\":1,\"RegionCategory\":\"环境科学与生态学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ECOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Ecology Letters","FirstCategoryId":"93","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1111/ele.14194","RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ECOLOGY","Score":null,"Total":0}
引用次数: 2

摘要

基因驱动技术将快速传播的工程驱动等位基因引入野生种群,是对抗媒介传播疾病、农业害虫和入侵物种的一种很有前途的新工具。由于所涉及的风险,到目前为止,基因驱动只在实验室环境中进行了测试,而其群体水平的行为主要使用数学和计算模型进行研究。基因驱动的传播是一个快速的进化过程,它发生在与许多生态过程相似的时间尺度上。这可能会产生强烈的生态进化反馈,深刻影响基因驱动释放的动力学和结果。因此,我们主张将生态特征纳入基因驱动模型的重要性。我们描述了可能影响基因驱动行为的关键生态特征,如种群结构、生活史、环境变异和选择模式。我们回顾了以前的基因驱动建模工作,并确定了需要进一步研究的领域。随着基因驱动技术接近现场实验水平,通过纳入生态过程来现实地评估基因驱动动力学、潜在结果和风险至关重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

摘要图片

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Incorporating ecology into gene drive modelling

Gene drive technology, in which fast-spreading engineered drive alleles are introduced into wild populations, represents a promising new tool in the fight against vector-borne diseases, agricultural pests and invasive species. Due to the risks involved, gene drives have so far only been tested in laboratory settings while their population-level behaviour is mainly studied using mathematical and computational models. The spread of a gene drive is a rapid evolutionary process that occurs over timescales similar to many ecological processes. This can potentially generate strong eco-evolutionary feedback that could profoundly affect the dynamics and outcome of a gene drive release. We, therefore, argue for the importance of incorporating ecological features into gene drive models. We describe the key ecological features that could affect gene drive behaviour, such as population structure, life-history, environmental variation and mode of selection. We review previous gene drive modelling efforts and identify areas where further research is needed. As gene drive technology approaches the level of field experimentation, it is crucial to evaluate gene drive dynamics, potential outcomes, and risks realistically by including ecological processes.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Ecology Letters
Ecology Letters 环境科学-生态学
CiteScore
17.60
自引率
3.40%
发文量
201
审稿时长
1.8 months
期刊介绍: Ecology Letters serves as a platform for the rapid publication of innovative research in ecology. It considers manuscripts across all taxa, biomes, and geographic regions, prioritizing papers that investigate clearly stated hypotheses. The journal publishes concise papers of high originality and general interest, contributing to new developments in ecology. Purely descriptive papers and those that only confirm or extend previous results are discouraged.
期刊最新文献
The Impact of Microbial Interactions on Ecosystem Function Intensifies Under Stress Mycorrhizal Types Regulate Tree Spatial Associations in Temperate Forests: Ectomycorrhizal Trees Might Favour Species Coexistence Acclimation Unifies the Scaling of Carbon Assimilation Across Climate Gradients and Levels of Organisation Seasonally Changing Interactions of Species Traits of Termites and Trees Promote Complementarity in Coarse Wood Decomposition Seasonality Structures Avian Functional Diversity and Niche Packing Across North America
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1