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遗传漂变下红色皇后动力学能持续多久?进化和生态进化模型的比较分析。

How long do Red Queen dynamics survive under genetic drift? A comparative analysis of evolutionary and eco-evolutionary models.

机构信息

Max Planck Institute for Evolutionary Biology, Plön, Germany.

German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Leipzig, Germany.

出版信息

BMC Evol Biol. 2020 Jan 13;20(1):8. doi: 10.1186/s12862-019-1562-5.

Abstract

BACKGROUND

Red Queen dynamics are defined as long term co-evolutionary dynamics, often with oscillations of genotype abundances driven by fluctuating selection in host-parasite systems. Much of our current understanding of these dynamics is based on theoretical concepts explored in mathematical models that are mostly (i) deterministic, inferring an infinite population size and (ii) evolutionary, thus ecological interactions that change population sizes are excluded. Here, we recall the different mathematical approaches used in the current literature on Red Queen dynamics. We then compare models from game theory (evo) and classical theoretical ecology models (eco-evo), that are all derived from individual interactions and are thus intrinsically stochastic. We assess the influence of this stochasticity through the time to the first loss of a genotype within a host or parasite population.

RESULTS

The time until the first genotype is lost ("extinction time"), is shorter when ecological dynamics, in the form of a changing population size, is considered. Furthermore, when individuals compete only locally with other individuals extinction is even faster. On the other hand, evolutionary models with a fixed population size and competition on the scale of the whole population prolong extinction and therefore stabilise the oscillations. The stabilising properties of intra-specific competitions become stronger when population size is increased and the deterministic part of the dynamics gain influence. In general, the loss of genotype diversity can be counteracted with mutations (or recombination), which then allow the populations to recurrently undergo negative frequency-dependent selection dynamics and selective sweeps.

CONCLUSION

Although the models we investigated are equal in their biological motivation and interpretation, they have diverging mathematical properties both in the derived deterministic dynamics and the derived stochastic dynamics. We find that models that do not consider intraspecific competition and that include ecological dynamics by letting the population size vary, lose genotypes - and thus Red Queen oscillations - faster than models with competition and a fixed population size.

摘要

背景

红皇后动态是指长期的共同进化动态,通常由宿主-寄生虫系统中波动选择驱动的基因型丰度波动引起。我们目前对这些动态的理解很大程度上基于数学模型中探索的理论概念,这些模型主要是(i)确定性的,推断出无限的种群大小,(ii)进化的,因此排除了改变种群大小的生态相互作用。在这里,我们回顾了当前关于红皇后动态的文献中使用的不同数学方法。然后,我们比较了来自博弈论(evo)和经典理论生态学模型(eco-evo)的模型,这些模型都源自个体相互作用,因此本质上是随机的。我们通过在宿主或寄生虫种群中首次失去一个基因型的时间来评估这种随机性的影响。

结果

当考虑到种群大小变化的生态动态时,第一个基因型丢失的时间(“灭绝时间”)更短。此外,当个体仅在局部与其他个体竞争时,灭绝甚至更快。另一方面,具有固定种群大小和整个种群范围内竞争的进化模型会延长灭绝时间,从而稳定振荡。当种群大小增加且动力学的确定性部分获得影响时,种内竞争的稳定特性会变得更强。一般来说,基因型多样性的丧失可以通过突变(或重组)来抵消,这允许种群反复经历负频率依赖性选择动态和选择清洗。

结论

尽管我们研究的模型在生物学动机和解释上是相等的,但它们在衍生的确定性动力学和衍生的随机动力学方面具有不同的数学性质。我们发现,不考虑种内竞争且通过让种群大小变化来包含生态动态的模型比具有竞争和固定种群大小的模型更快地失去基因型-从而失去红皇后振荡。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3676/6958710/26fe88902eb0/12862_2019_1562_Fig1_HTML.jpg

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