Infectious disease ecology and evolution in a changing world.
Infectious disease ecology and evolution in a changing world.
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在不断变化的世界中，传染病生态和进化。
DOI：
10.1098/rstb.2022.0002
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发表时间：
2023-03-27
影响因子：
6.3
通讯作者：
Wolinska, Justyna
中科院分区：
文献类型：
--
作者：
King, Kayla C.;Hall, Matthew D.;Wolinska, Justyna
管理气候变化和人类活动的后果是二十一世纪的最大挑战之一。极端天气事件，如热浪和干旱，正变得越来越普遍和严重[1]，城市和农业扩张正在导致生物多样性的丧失和生态系统的退化[2]。这一新的现实挑战了宿主物种的生存能力，并迫使传染病迅速演变。事实上，COVID-19大流行强调了传染病演变和传播的速度有多快-对传播、毒力和逃避宿主防御的后果[3]-并且疾病动态在地球仪的不同区域将发挥不同的作用[4，5]。应对这些挑战需要多方面的方法，探索人类引起的变化对宿主-病原体（包括寄生虫）在空间和时间（即生态和进化时间尺度）上相互作用的影响。制定措施，加强自然和农业社区对这些变化的复原力也至关重要。然而，这些概念传统上是从不同的观点来处理的，几乎没有经验上的重叠。例如，生态学和流行病学研究将疾病的传播与环境因素联系起来（例如[6-8]）。但是，迫切需要进行进化研究，以捕捉宿主及其病原体在人口现在面临的全面环境变化下可能如何进化。有证据表明，非生物环境因素可以影响宿主-病原体相互作用中的选择（例如[9]），但经验工作通常以抽象的方式研究这些问题（热与冷，低与高食物）。反过来，在农业害虫和病原体管理中使用生态和进化原则的建议往往没有考虑任何长期干预的社会和经济因素。本期特刊旨在汇集不同领域（生态、进化、流行病学和应用）的研究和方法，以更好地理解和解决人为环境变化对传染病的影响。它解决了对出现的关键问题缺乏全面讨论的问题，因为不同类型的环境变化往往形成自己的研究领域，而不是作为人类活动的相互关联的症状进行研究。为了解决这一差距，本文的贡献集中在三个关键主题：气候变化和感染结果;了解动态环境中的宿主-病原体相互作用;以及人类改变的生态系统中的爆发和病原体进化。通过比较不同形式的全球变化，整合多个领域，并确定经验和理论研究差距，本期的目标是展示并激发对快速变化的世界中传染病演变的新思维。
Managing the consequences of climate change and human activity is one of the greatest challenges of the twenty-first century. Extreme weather events, such as heatwaves and droughts, are becoming more common and more severe [1], and urban and agricultural expansion is contributing to the loss of biodiversity and the degradation of ecosystems [2]. This new reality challenges the capacity of host species to persist and forces infectious diseases to rapidly evolve. Indeed, the COVID-19 pandemic has emphasized how quickly infectious diseases can evolve and spread—with consequences for transmission, virulence and evasion of host defences [3]—and that disease dynamics will play out differently across regions of the globe [4, 5]. Addressing these challenges requires multi-faceted approaches that explore the effects of human-induced change on host–pathogen (including parasites) interactions across space and time (ie ecological and evolutionary timescales). Developing measures to enhance the resilience of natural and agricultural communities to these changes is also critical. Yet, these concepts have traditionally been tackled from disparate viewpoints with little empirical overlap. Ecological and epidemiological research, for example, has linked the spread of disease to environmental factors (eg [6–8]). But there is a pressing need for evolutionary research to capture how hosts and their pathogens may evolve under the sweeping environmental changes that populations now face. There is evidence that abiotic environmental factors can impact selection in host–pathogen interactions (eg [9]), but often empirical work examines these questions in abstract ways (hot versus cold, low versus high food). In turn, suggestions to use ecological and evolutionary principles in the management of agricultural pests and pathogens do not often consider the social and economic factors that underlie any long-term intervention [10]. This special issue aims to bring together research from different fields (ecological, evolutionary, epidemiological and applied) and approaches to better understand and address the impact of human-driven environmental change on infectious disease. It addresses a lack of comprehensive discussion on key issues that arise because different types of environmental change often form their own fields of research, rather than being studied as interconnected symptoms of human activity. To address this gap, the contributions herein focus on three key themes: climate change and infection outcomes; understanding host–pathogen interactions in dynamic environments; and outbreaks and pathogen evolution in human-altered ecosystems. By comparing different forms of global change, integrating across multiple fields, and identifying empirical and theoretical research gaps, this issue’s goal is to showcase and spark new thinking on infectious disease evolution in a rapidly changing world.
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DOI：
10.1098/rstb.2022.0012
发表时间：
2023-03-27
影响因子：
6.3
作者：
Geffersa, A. G.;Burdon, J. J.;Macfadyen, S.;Thrall, P. H.;Sprague, S. J.;Barrett, L. G.
通讯作者：
Barrett, L. G.
温度变化的替代模式在不同的平均温度下会带来截然不同的疾病预后。
影响因子：
7.7
作者：
Kunze C;Luijckx P;Jackson AL;Donohue I
通讯作者：
Donohue I
影响因子：
2.9
作者：
Cardoso, Marina Candido;Goncalves, Rodrigo Barbosa
通讯作者：
Goncalves, Rodrigo Barbosa
影响因子：
4.8
作者：
Lafferty, Kevin D.
通讯作者：
Lafferty, Kevin D.
影响因子：
4.6
作者：
Chen S;Prettner K;Kuhn M;Geldsetzer P;Wang C;Bärnighausen T;Bloom DE
通讯作者：
Bloom DE