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环境变异导致不同寄生虫种群通过不同的(共同)进化路径抵达相同的适应性终点。

Environmental variation causes different (co) evolutionary routes to the same adaptive destination across parasite populations.

作者信息

Auld Stuart K J R, Brand June

机构信息

Biological and Environmental Sciences University of Stirling Stirling United Kingdom.

出版信息

Evol Lett. 2017 Oct 17;1(5):245-254. doi: 10.1002/evl3.27. eCollection 2017 Nov.

DOI:10.1002/evl3.27
PMID:30283653
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6121849/
Abstract

Epidemics are engines for host-parasite coevolution, where parasite adaptation to hosts drives reciprocal adaptation in host populations. A key challenge is to understand whether parasite adaptation and any underlying evolution and coevolution is repeatable across ecologically realistic populations that experience different environmental conditions, or if each population follows a completely unique evolutionary path. We established twenty replicate pond populations comprising an identical suite of genotypes of crustacean host, , and inoculum of their parasite, . Using a time-shift experiment, we compared parasite infection traits before and after epidemics and linked patterns of parasite evolution with shifts in host genotype frequencies. Parasite adaptation to the sympatric suite of host genotypes came at a cost of poorer performance on foreign genotypes across populations and environments. However, this consistent pattern of parasite adaptation was driven by different types of frequency-dependent selection that was contingent on an ecologically relevant environmental treatment (whether or not there was physical mixing of water within ponds). In unmixed ponds, large epidemics drove rapid and strong host-parasite coevolution. In mixed ponds, epidemics were smaller and host evolution was driven mainly by the mixing treatment itself; here, host evolution and parasite evolution were clear, but coevolution was absent. Population mixing breaks an otherwise robust coevolutionary cycle. These findings advance our understanding of the repeatability of (co)evolution across noisy, ecologically realistic populations.

摘要

流行病是宿主 - 寄生虫协同进化的引擎,寄生虫对宿主的适应推动宿主群体的相互适应。一个关键挑战是要了解寄生虫的适应以及任何潜在的进化和协同进化在经历不同环境条件的生态现实种群中是否具有可重复性,或者每个种群是否遵循完全独特的进化路径。我们建立了20个重复的池塘种群,其中包括相同的甲壳类宿主基因型组合以及它们的寄生虫接种物。通过时间推移实验,我们比较了流行病前后寄生虫的感染特征,并将寄生虫进化模式与宿主基因型频率的变化联系起来。寄生虫对同域宿主基因型组合的适应是以在不同种群和环境中对异域基因型表现较差为代价的。然而,这种一致的寄生虫适应模式是由不同类型的频率依赖性选择驱动的,这种选择取决于一种与生态相关的环境处理方式(池塘内水是否有物理混合)。在未混合的池塘中,大规模流行病推动了快速而强烈的宿主 - 寄生虫协同进化。在混合池塘中,流行病规模较小,宿主进化主要由混合处理本身驱动;在这里,宿主进化和寄生虫进化很明显,但协同进化不存在。种群混合打破了原本强大的协同进化循环。这些发现推进了我们对在嘈杂的、生态现实的种群中(共)进化可重复性的理解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/676a/6121849/1a67caee6c7d/EVL3-1-245-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/676a/6121849/8e15b38730c5/EVL3-1-245-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/676a/6121849/6097015bca69/EVL3-1-245-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/676a/6121849/3ba388600002/EVL3-1-245-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/676a/6121849/1a67caee6c7d/EVL3-1-245-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/676a/6121849/8e15b38730c5/EVL3-1-245-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/676a/6121849/6097015bca69/EVL3-1-245-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/676a/6121849/3ba388600002/EVL3-1-245-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/676a/6121849/1a67caee6c7d/EVL3-1-245-g004.jpg

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