The Evolution of Bet Hedging in Response to Local Ecological Conditions
The Evolution of Bet Hedging in Response to Local Ecological Conditions
复制标题
针对当地生态条件的赌注对冲演变
DOI：
10.1086/676506
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发表时间：
2014
期刊：
影响因子：
--
通讯作者：
F. Menu
中科院分区：
文献类型：
--
作者：
Etienne Rajon;E. Desouhant;Mathieu Chevalier;F. Débias;F. Menu
在不可预测的变化环境中，对冲风险的基因型可能会受到选择的青睐。赌注对冲可以通过系统地表达几种表型来实现，例如容易尝试繁殖的表型和在休眠阶段拖延的表型。但是基因型应该表达多少表型呢？理论预测，不断发展的赌注对冲策略取决于当地环境的变化，对人口的调节，并与邻近人口的交流。然而，从经验上讲，仍然不知道赌注对冲是否可以进化以科普种群所经历的生态条件。在这里，我们研究了两个相邻的种群的板栗象甲，bet对冲休眠频率的演变。我们估计的时间分布的人口参数与生殖力和人口密度之间的关系的形式，并使用两者的parameterized模型，预测的赌注对冲休眠频率预计在每个人口的发展。引人注目的是，观察到的休眠频率与各自地区的预测非常吻合。我们还发现，休眠频率随世代随机变化，这可能是由于潜在的生理机制的环境扰动。使用一个模型，包括这些限制，我们预测的休眠频率的平均值和形状与我们的观测数据一致的整个分布。总的来说，我们的研究结果表明，休眠频率已经根据当地的生态条件和生理限制。
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.
DOI：
10.1073/pnas.87.3.1139
发表时间：
1990-02-01
影响因子：
11.1
作者：
TULJAPURKAR, S
通讯作者：
TULJAPURKAR, S