Evolutionary Epidemiology Consequences of Trait-Dependent Control of Heterogeneous Parasites.

IF 2.4 2区 环境科学与生态学 Q2 ECOLOGY American Naturalist Pub Date : 2023-11-01 Epub Date: 2023-10-05 DOI:10.1086/726062
Leonardo Miele, R M L Evans, Nik J Cunniffe, Clara Torres-Barceló, Daniele Bevacqua
{"title":"Evolutionary Epidemiology Consequences of Trait-Dependent Control of Heterogeneous Parasites.","authors":"Leonardo Miele, R M L Evans, Nik J Cunniffe, Clara Torres-Barceló, Daniele Bevacqua","doi":"10.1086/726062","DOIUrl":null,"url":null,"abstract":"<p><p>AbstractDisease control can induce both demographic and evolutionary responses in host-parasite systems. Foreseeing the outcome of control therefore requires knowledge of the eco-evolutionary feedback between control and system. Previous work has assumed that control strategies have a homogeneous effect on the parasite population. However, this is not true when control targets those traits that confer to the parasite heterogeneous levels of resistance, which can additionally be related to other key parasite traits through evolutionary trade-offs. In this work, we develop a minimal model coupling epidemiological and evolutionary dynamics to explore possible trait-dependent effects of control strategies. In particular, we consider a parasite expressing continuous levels of a trait-determining resource exploitation and a control treatment that can be either positively or negatively correlated with that trait. We demonstrate the potential of trait-dependent control by considering that the decision maker may want to minimize both the damage caused by the disease and the use of treatment, due to possible environmental or economic costs. We identify efficient strategies showing that the optimal type of treatment depends on the amount applied. Our results pave the way for the study of control strategies based on evolutionary constraints, such as collateral sensitivity and resistance costs, which are receiving increasing attention for both public health and agricultural purposes.</p>","PeriodicalId":50800,"journal":{"name":"American Naturalist","volume":"202 5","pages":"E130-E146"},"PeriodicalIF":2.4000,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"American Naturalist","FirstCategoryId":"93","ListUrlMain":"https://doi.org/10.1086/726062","RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2023/10/5 0:00:00","PubModel":"Epub","JCR":"Q2","JCRName":"ECOLOGY","Score":null,"Total":0}
引用次数: 1

Abstract

AbstractDisease control can induce both demographic and evolutionary responses in host-parasite systems. Foreseeing the outcome of control therefore requires knowledge of the eco-evolutionary feedback between control and system. Previous work has assumed that control strategies have a homogeneous effect on the parasite population. However, this is not true when control targets those traits that confer to the parasite heterogeneous levels of resistance, which can additionally be related to other key parasite traits through evolutionary trade-offs. In this work, we develop a minimal model coupling epidemiological and evolutionary dynamics to explore possible trait-dependent effects of control strategies. In particular, we consider a parasite expressing continuous levels of a trait-determining resource exploitation and a control treatment that can be either positively or negatively correlated with that trait. We demonstrate the potential of trait-dependent control by considering that the decision maker may want to minimize both the damage caused by the disease and the use of treatment, due to possible environmental or economic costs. We identify efficient strategies showing that the optimal type of treatment depends on the amount applied. Our results pave the way for the study of control strategies based on evolutionary constraints, such as collateral sensitivity and resistance costs, which are receiving increasing attention for both public health and agricultural purposes.

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
异种寄生虫性状依赖控制的进化流行病学结果。
疾病控制可以引起宿主-寄生虫系统的人口统计学和进化反应。因此,预测控制的结果需要了解控制与系统之间的生态进化反馈。以前的工作假设控制策略对寄生虫种群有均匀的影响。然而,当控制目标是那些赋予寄生虫异质抗性水平的性状时,情况就不一样了,这些性状还可以通过进化权衡与寄生虫的其他关键性状相关。在这项工作中,我们开发了一个耦合流行病学和进化动力学的最小模型,以探索控制策略可能的性状依赖效应。特别是,我们考虑了一种寄生虫表达了一个性状决定资源开发和控制处理的连续水平,可以与该性状呈正相关或负相关。由于可能的环境或经济成本,我们考虑到决策者可能希望将疾病造成的损害和治疗的使用最小化,从而证明了性状依赖控制的潜力。我们确定了有效的策略,表明最佳治疗类型取决于应用的量。我们的研究结果为基于进化约束的控制策略研究铺平了道路,例如附带敏感性和抗性成本,这在公共卫生和农业目的中都受到越来越多的关注。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
American Naturalist
American Naturalist 环境科学-进化生物学
CiteScore
5.40
自引率
3.40%
发文量
194
审稿时长
3 months
期刊介绍: Since its inception in 1867, The American Naturalist has maintained its position as one of the world''s premier peer-reviewed publications in ecology, evolution, and behavior research. Its goals are to publish articles that are of broad interest to the readership, pose new and significant problems, introduce novel subjects, develop conceptual unification, and change the way people think. AmNat emphasizes sophisticated methodologies and innovative theoretical syntheses—all in an effort to advance the knowledge of organic evolution and other broad biological principles.
期刊最新文献
Secretary's Report, 2024 : American Society of Naturalists. Treasurer's Report, 2023 : Statement of Activities For the Year Ending December 31, 2023. Bee Phenological Distributions Predicted by Inferring Vital Rates. Differential Survival and Background Selection in Cryptic Trunk-Dwelling Arthropods in Fire-Prone Environments. Natural Selection after Severe Winter Favors Larger and Duller Bluebirds.
×
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