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一年生群居昆虫中的适应性动态资源分配:环境变化不一定会促进分级控制。

Adaptive dynamic resource allocation in annual eusocial insects: environmental variation will not necessarily promote graded control.

作者信息

Mitesser Oliver, Weissel Norbert, Strohm Erhard, Poethke Hans-Joachim

机构信息

Field Station Fabrikschleichach, Universität Würzburg, Glashüttenstr, 5, D-96181 Rauhenebrach, Germany.

出版信息

BMC Ecol. 2007 Dec 19;7:16. doi: 10.1186/1472-6785-7-16.

DOI:10.1186/1472-6785-7-16
PMID:18093303
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC2242787/
Abstract

BACKGROUND

According to the classical model of Macevicz and Oster, annual eusocial insects should show a clear dichotomous "bang-bang" strategy of resource allocation; colony fitness is maximised when a period of pure colony growth (exclusive production of workers) is followed by a single reproductive period characterised by the exclusive production of sexuals. However, in several species graded investment strategies with a simultaneous production of workers and sexuals have been observed. Such deviations from the "bang-bang" strategy are usually interpreted as an adaptive (bet-hedging) response to environmental fluctuations such as variation in season length or food availability. To generate predictions about the optimal investment pattern of insect colonies in fluctuating environments, we slightly modified Macevicz and Oster's classical model of annual colony dynamics and used a dynamic programming approach nested into a recurrence procedure for the solution of the stochastic optimal control problem.

RESULTS

  1. The optimal switching time between pure colony growth and the exclusive production of sexuals decreases with increasing environmental variance. 2) Yet, for reasonable levels of environmental fluctuations no deviation from the typical bang-bang strategy is predicted. 3) Model calculations for the halictid bee Lasioglossum malachurum reveal that bet-hedging is not likely to be the reason for the graded allocation into sexuals versus workers observed in this species. 4) When environmental variance reaches a critical level our model predicts an abrupt change from dichotomous behaviour to graded allocation strategies, but the transition between colony growth and production of sexuals is not necessarily monotonic. Both, the critical level of environmental variance as well as the characteristic pattern of resource allocation strongly depend on the type of function used to describe environmental fluctuations.

CONCLUSION

Up to now bet-hedging as an evolutionary response to variation in season length has been the main argument to explain field observations of graded resource allocation in annual eusocial insect species. However, our model shows that the effect of moderate fluctuations of environmental conditions does not select for deviation from the classical bang-bang strategy and that the evolution of graded allocation strategies can be triggered only by extreme fluctuations. Detailed quantitative observations on resource allocation in eusocial insects are needed to analyse the relevance of alternative explanations, e.g. logistic colony growth or reproductive conflict between queen and workers, for the evolution of graded allocation strategies.

摘要

背景

根据马切维茨(Macevicz)和奥斯特(Oster)的经典模型,一年生群居昆虫应呈现出明确的二分“砰砰”资源分配策略;当一段纯粹的群体增长期(专门生产工蚁)之后紧接着一个以专门生产有性个体为特征的单一繁殖期时,群体适应性达到最大化。然而,在一些物种中,已观察到存在同时生产工蚁和有性个体的分级投资策略。这种对“砰砰”策略的偏离通常被解释为对环境波动(如季节长度变化或食物可利用性)的一种适应性(风险对冲)反应。为了得出关于昆虫群体在波动环境中的最优投资模式的预测,我们对马切维茨和奥斯特的一年生群体动态经典模型进行了轻微修改,并使用了嵌套在递归过程中的动态规划方法来解决随机最优控制问题。

结果

1)纯粹群体增长和专门生产有性个体之间的最优切换时间随着环境方差的增加而减少。2)然而,对于合理水平的环境波动,预计不会偏离典型的“砰砰”策略。3)对隧蜂科蜜蜂黄斑隧蜂(Lasioglossum malachurum)的模型计算表明,风险对冲不太可能是该物种中观察到的有性个体与工蚁分级分配的原因。4)当环境方差达到临界水平时,我们的模型预测会从二分行为突然转变为分级分配策略,但群体增长与有性个体生产之间的转变不一定是单调的。环境方差的临界水平以及资源分配的特征模式都强烈依赖于用于描述环境波动的函数类型。

结论

到目前为止,风险对冲作为对季节长度变化的一种进化反应,一直是解释一年生群居昆虫物种中分级资源分配的实地观察结果的主要论据。然而,我们的模型表明,适度的环境条件波动不会导致偏离经典的“砰砰”策略,只有极端波动才能触发分级分配策略的进化。需要对群居昆虫的资源分配进行详细的定量观察,以分析其他解释(如逻辑斯蒂群体增长或蚁后与工蚁之间的生殖冲突)对分级分配策略进化的相关性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7b70/2242787/eabf8a647a47/1472-6785-7-16-6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7b70/2242787/84e2556b7d95/1472-6785-7-16-1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7b70/2242787/08be3fadb6a6/1472-6785-7-16-2.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7b70/2242787/385ed88e640f/1472-6785-7-16-4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7b70/2242787/eee15dfdec24/1472-6785-7-16-5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7b70/2242787/eabf8a647a47/1472-6785-7-16-6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7b70/2242787/84e2556b7d95/1472-6785-7-16-1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7b70/2242787/08be3fadb6a6/1472-6785-7-16-2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7b70/2242787/7affda2dee14/1472-6785-7-16-3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7b70/2242787/385ed88e640f/1472-6785-7-16-4.jpg
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