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响应局部生态条件的避险策略的演变。

The evolution of bet hedging in response to local ecological conditions.

作者信息

Rajon Etienne, Desouhant Emmanuel, Chevalier Mathieu, Débias François, Menu Frédéric

机构信息

Laboratoire de Biométrie et Biologie Évolutive, Unité Mixte de Recherche (UMR) CNRS 5558, Université de Lyon, Université Lyon 1, F-69622 Villeurbanne, France.

出版信息

Am Nat. 2014 Jul;184(1):E1-15. doi: 10.1086/676506. Epub 2014 May 23.

Abstract

Genotypes that hedge their bets can be favored by selection in an unpredictably varying environment. Bet hedging can be achieved by systematically expressing several phenotypes, such as one that readily attempts to reproduce and one that procrastinates in a dormant stage. But how much of each phenotype should a genotype express? Theory predicts that evolving bet-hedging strategies depend on local environmental variation, on how the population is regulated, and on exchanges with neighboring populations. Empirically, however, it remains unknown whether bet hedging can evolve to cope with the ecological conditions experienced by populations. Here we study the evolution of bet-hedging dormancy frequencies in two neighboring populations of the chestnut weevil, Curculio elephas. We estimate the temporal distribution of demographic parameters together with the form of the relationship between fecundity and population density and use both to parameterize models that predict the bet-hedging dormancy frequency expected to evolve in each population. Strikingly, the observed dormancy frequencies closely match predictions in their respective localities. We also found that dormancy frequencies vary randomly across generations, likely due to environmental perturbations of the underlying physiological mechanism. Using a model that includes these constraints, we predict the whole distribution of dormancy frequencies whose mean and shape agree with our observed data. Overall, our results suggest that dormancy frequencies have evolved according to local ecological conditions and physiological constraints.

摘要

在一个变化不可预测的环境中,通过选择可能会青睐那些“两面下注”的基因型。“两面下注”可以通过系统地表达几种表型来实现,比如一种表型会积极尝试繁殖,而另一种则在休眠阶段延迟繁殖。但是一个基因型应该表达每种表型的多少呢?理论预测,不断进化的“两面下注”策略取决于当地的环境变化、种群的调控方式以及与邻近种群的交流。然而,从经验上看,“两面下注”是否能够进化以应对种群所经历的生态条件仍然未知。在这里,我们研究了栗实象(Curculio elephas)两个相邻种群中“两面下注”休眠频率的进化。我们估计了种群统计学参数的时间分布以及繁殖力与种群密度之间关系的形式,并将两者都用于参数化模型,这些模型预测了每个种群中预期会进化出的“两面下注”休眠频率。令人惊讶的是,观察到的休眠频率与其各自所在地的预测结果紧密匹配。我们还发现休眠频率在各代之间随机变化,这可能是由于潜在生理机制受到环境干扰所致。使用一个包含这些限制条件的模型,我们预测了休眠频率的整体分布,其均值和形状与我们观察到的数据相符。总体而言,我们的结果表明休眠频率是根据当地生态条件和生理限制而进化的。

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