Coevolutionary theory of hosts and parasites.
Coevolutionary theory of hosts and parasites.
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DOI：
10.1111/jeb.13981
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发表时间：
2022-03
影响因子：
2.1
通讯作者：
中科院分区：
文献类型：
--
作者：
宿主和寄生虫的进化是紧密交织在一起的，适应性选择和反适应形成了一个共同进化的反馈回路。由于这些反馈，共同进化动力学通常很难直观，并且很难在大多数系统中以经验证明。因此，理论模型在塑造我们对宿主-寄生虫共同进化的理解方面发挥了至关重要的作用。理论模型在假设、方法和目标上有很大的差异，这种差异使得非理论家和新进入该领域的人很难：（1）理解模型方法如何相互关联;（2）识别关键的建模假设;（3）确定模型假设如何与生物系统相关;（4）协调不同模型的结果与对比假设。在这篇综述中，我们确定了重要的模型特征，突出了关键结果和预测，并描述了这些如何与模型假设有关。我们进行了文献调查的理论研究发表自20世纪50年代（n = 219篇论文），以支持我们的分析。我们确定了两个特别重要的功能，往往有一个显着的定性影响宿主-寄生虫共同进化的结果模型：人口动态和感染的遗传基础。我们还强调了其他建模功能的重要性，如随机性和时间是否连续或离散的步骤，得到较少的关注，但可以大大改变共同进化动力学。最后，我们总结了该领域的最新发展，特别是模型复杂性提高的趋势，并讨论了未来可能的研究方向。宿主-寄生虫共同进化是适应和反适应的相互作用过程。当寄生虫进化到具有更高的感染性时，其宿主可能会进化到具有更高的抵抗力。
Host and parasite evolution are closely intertwined, with selection for adaptations and counter‐adaptations forming a coevolutionary feedback loop. Coevolutionary dynamics are often difficult to intuit due to these feedbacks and are hard to demonstrate empirically in most systems. Theoretical models have therefore played a crucial role in shaping our understanding of host–parasite coevolution. Theoretical models vary widely in their assumptions, approaches and aims, and such variety makes it difficult, especially for non‐theoreticians and those new to the field, to: (1) understand how model approaches relate to one another; (2) identify key modelling assumptions; (3) determine how model assumptions relate to biological systems; and (4) reconcile the results of different models with contrasting assumptions. In this review, we identify important model features, highlight key results and predictions and describe how these pertain to model assumptions. We carry out a literature survey of theoretical studies published since the 1950s (n = 219 papers) to support our analysis. We identify two particularly important features of models that tend to have a significant qualitative impact on the outcome of host–parasite coevolution: population dynamics and the genetic basis of infection. We also highlight the importance of other modelling features, such as stochasticity and whether time proceeds continuously or in discrete steps, that have received less attention but can drastically alter coevolutionary dynamics. We finish by summarizing recent developments in the field, specifically the trend towards greater model complexity, and discuss likely future directions for research. Host‐parasite coevolution is a reciprocal process of adaptations and counter‐adaptations. When a parasite evolves to have heightened infectivity, its host may respond by evolving to have heightened resistance.
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对病毒感染和宿主生长速率的构型抵抗之间的基因型权衡。
DOI：
10.1111/evo.13623
发表时间：
2018-12
期刊：
Evolution; international journal of organic evolution
影响因子：
--
作者：
Bartlett LJ;Wilfert L;Boots M
通讯作者：
Boots M
DOI：
10.1098/rspb.2017.1615
发表时间：
2017-11-15
期刊：
Proceedings. Biological sciences
影响因子：
--
作者：
Best A;Ashby B;White A;Bowers R;Buckling A;Koskella B;Boots M
通讯作者：
Boots M
影响因子：
2.1
作者：
Ashby, B.;King, K. C.
通讯作者：
King, K. C.
DOI：
10.1098/rspb.2018.0844
发表时间：
2018-06-27
期刊：
Proceedings. Biological sciences
影响因子：
--
作者：
Ashby B;Bruns E
通讯作者：
Bruns E
DOI：
10.1098/rspb.2002.2193
发表时间：
2003-02-07
影响因子：
4.7
作者：
Agrawal, AF;Lively, CM
通讯作者：
Lively, CM