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温度和种内变异会影响宿主与寄生虫之间的相互作用。

Temperature and intraspecific variation affect host-parasite interactions.

作者信息

Ismail Sherine, Farner Johannah, Couper Lisa, Mordecai Erin, Lyberger Kelsey

机构信息

Department of Biology, Stanford University.

出版信息

bioRxiv. 2023 Aug 26:2023.08.24.554680. doi: 10.1101/2023.08.24.554680.

DOI:10.1101/2023.08.24.554680
PMID:37662401
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10473705/
Abstract

Parasites play key roles in regulating aquatic ecosystems, yet the impact of climate warming on their ecology and disease transmission remains poorly understood. Isolating the effect of warming is challenging as transmission involves multiple interacting species and potential intraspecific variation in temperature responses of one or more of these species. Here, we leverage a wide-ranging mosquito species and its facultative parasite as a model system to investigate the impact of temperature on host-parasite interactions and disease transmission. We conducted a common garden experiment measuring parasite growth and infection rates at seven temperatures using 12 field-collected parasite populations and a single mosquito population. We find that both free-living growth rates and infection rates varied with temperature, which were highest at 18-24.5°C and 13°C, respectively. Further, we find intraspecific variation in peak performance temperature reflecting patterns of local thermal adaptation-parasite populations from warmer source environments typically had higher thermal optima for free-living growth rates. For infection rates, we found a significant interaction between parasite population and nonlinear effects of temperature. These findings underscore the need to consider both host and parasite thermal responses, as well as intraspecific variation in thermal responses, when predicting the impacts of climate change on disease in aquatic ecosystems.

摘要

寄生虫在调节水生生态系统中发挥着关键作用,然而气候变暖对其生态和疾病传播的影响仍知之甚少。由于传播涉及多个相互作用的物种以及这些物种中一个或多个物种在温度响应方面潜在的种内变异,因此分离变暖的影响具有挑战性。在这里,我们利用一种分布广泛的蚊子物种及其兼性寄生虫作为模型系统,来研究温度对宿主 - 寄生虫相互作用和疾病传播的影响。我们进行了一项共同花园实验,使用12个野外采集的寄生虫种群和一个蚊子种群,在七个温度下测量寄生虫的生长和感染率。我们发现,自由生活的生长率和感染率均随温度变化,分别在18 - 24.5°C和13°C时最高。此外,我们发现峰值性能温度存在种内变异,反映了局部热适应模式——来自较温暖源环境的寄生虫种群通常对自由生活的生长率具有更高的热最适温度。对于感染率,我们发现寄生虫种群与温度的非线性效应之间存在显著的相互作用。这些发现强调,在预测气候变化对水生生态系统疾病的影响时,需要考虑宿主和寄生虫的热响应以及热响应中的种内变异。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6294/10473705/907f407c9eea/nihpp-2023.08.24.554680v1-f0006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6294/10473705/3a1dc67cbf34/nihpp-2023.08.24.554680v1-f0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6294/10473705/58b3211289c1/nihpp-2023.08.24.554680v1-f0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6294/10473705/6d2553fcbd99/nihpp-2023.08.24.554680v1-f0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6294/10473705/3a642719d11f/nihpp-2023.08.24.554680v1-f0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6294/10473705/37043c246b12/nihpp-2023.08.24.554680v1-f0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6294/10473705/907f407c9eea/nihpp-2023.08.24.554680v1-f0006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6294/10473705/3a1dc67cbf34/nihpp-2023.08.24.554680v1-f0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6294/10473705/58b3211289c1/nihpp-2023.08.24.554680v1-f0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6294/10473705/6d2553fcbd99/nihpp-2023.08.24.554680v1-f0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6294/10473705/3a642719d11f/nihpp-2023.08.24.554680v1-f0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6294/10473705/37043c246b12/nihpp-2023.08.24.554680v1-f0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6294/10473705/907f407c9eea/nihpp-2023.08.24.554680v1-f0006.jpg

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本文引用的文献

1
A Mosquito Parasite Is Locally Adapted to Its Host but Not Temperature.一种蚊子寄生虫对其宿主具有局部适应性,但对温度没有适应性。
Am Nat. 2024 Aug;204(2):121-132. doi: 10.1086/730522. Epub 2024 Jun 20.
2
Drivers and Cascading Ecological Consequences of Trait Variation.性状变异的驱动因素及其级联生态后果
Am Nat. 2022 Mar;199(3):E91-E110. doi: 10.1086/717866. Epub 2022 Jan 20.
3
Does the thermal mismatch hypothesis predict disease outcomes in different morphs of a terrestrial salamander?热不匹配假说是否能预测陆生蝾螈不同形态的疾病结局?
J Exp Zool A Ecol Integr Physiol. 2022 Jun;337(5):467-476. doi: 10.1002/jez.2581. Epub 2022 Feb 15.
4
Alternate patterns of temperature variation bring about very different disease outcomes at different mean temperatures.温度变化的交替模式在不同的平均温度下会导致非常不同的疾病结果。
Elife. 2022 Feb 15;11:e72861. doi: 10.7554/eLife.72861.
5
Heat sensitivity of first host and cercariae may restrict parasite transmission in a warming sea.第一宿主和尾蚴的热敏感性可能会限制寄生虫在变暖的海水中的传播。
Sci Rep. 2022 Jan 21;12(1):1174. doi: 10.1038/s41598-022-05139-5.
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Thermal limits in the face of infectious disease: How important are pathogens?面对传染病的热极限:病原体有多重要?
Glob Chang Biol. 2021 Oct;27(19):4469-4480. doi: 10.1111/gcb.15761. Epub 2021 Jul 14.
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Divergent impacts of warming weather on wildlife disease risk across climates.气候变暖对野生动物疾病风险的影响具有差异性。
Science. 2020 Nov 20;370(6519). doi: 10.1126/science.abb1702.
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Adaptive evolution shapes the present-day distribution of the thermal sensitivity of population growth rate.适应进化塑造了现今种群增长率热敏感性的分布格局。
PLoS Biol. 2020 Oct 16;18(10):e3000894. doi: 10.1371/journal.pbio.3000894. eCollection 2020 Oct.
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Experimental evidence of warming-induced disease emergence and its prediction by a trait-based mechanistic model.变暖诱导疾病出现的实验证据及其基于特征的机制模型预测。
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Pulse Heat Stress and Parasitism in a Warming World.脉搏热应激与寄生虫病在全球变暖世界中的相互关系
Trends Ecol Evol. 2020 Aug;35(8):704-715. doi: 10.1016/j.tree.2020.04.002. Epub 2020 May 18.