McNickle Gordon G, Evans Wesley D
Department of Botany and Plant Pathology, Purdue University, West Lafayette, IN, USA.
Purdue Center for Plant Biology, Purdue University, West Lafayette, IN, USA.
AoB Plants. 2018 Jun 2;10(4):ply035. doi: 10.1093/aobpla/ply035. eCollection 2018 Aug.
Damage to plants from natural enemies is a ubiquitous feature of the natural world. Accordingly, plants have evolved a variety of strategies to deal with attack from enemies including the ability to simply tolerate attack. Tolerance often involves some form of compensatory response, such as the regrowth of tissues following damage. While ecological models of defence are common, there has been less effort to make predictions about the evolutionary stability of tolerance. Here, we present and experimentally test a game theoretic model of tolerance to herbivory. Plants in the model have a vector strategy which includes both root and shoot production, and herbivores in the model have a scalar strategy which is time spent foraging. The evolutionarily stable strategy (ESS) is the set of root growth, shoot growth and herbivore foraging which simultaneously maximizes all player's fitness. Compensatory growth is not guaranteed, but it may emerge as an ESS if it maximizes plant fitness. We also experimentally tested the model predictions using wheat and simulated herbivory by clipping 0, 15, 30, 45 or 60 % of shoot production, and measured root, shoot and fruit production at senescence. The model predicted that compensatory growth was often an ESS when herbivores were either above- or below-ground. Plants in the experiment followed model predictions. Specifically, plants produced more tissues than expected based on damage, and for 15 % damage this allowed them to maintain equal fitness compared to undamaged plants. The model allows for above- and below-ground herbivory to be modelled, and predicts their impact on whole plant growth and reproduction. For example, we can predict the effects of shoot damage on root growth. When combined with other advances in predicting plant ecology with evolutionary game theory, we anticipate that this will be a valuable tool for generating further testable hypotheses.
植物遭受天敌损害是自然界普遍存在的现象。因此,植物进化出了多种应对天敌攻击的策略,包括简单耐受攻击的能力。耐受性通常涉及某种形式的补偿反应,例如受损后组织的再生。虽然防御的生态模型很常见,但在预测耐受性的进化稳定性方面所做的工作较少。在这里,我们提出并通过实验测试了一个关于食草耐受性的博弈论模型。模型中的植物有一种向量策略,包括根系和地上部分的生长,模型中的食草动物有一种标量策略,即觅食所花费的时间。进化稳定策略(ESS)是根系生长、地上部分生长和食草动物觅食的组合,能同时使所有参与者的适合度最大化。补偿性生长并非必然出现,但如果它能使植物适合度最大化,就可能作为一种进化稳定策略出现。我们还通过实验测试了模型预测,使用小麦并通过剪掉0%、15%、30%、45%或60%的地上部分模拟食草,在衰老时测量根系、地上部分和果实的产量。模型预测,当食草动物在地上或地下时,补偿性生长通常是一种进化稳定策略。实验中的植物遵循了模型预测。具体来说,植物产生的组织比基于损害预期的要多,对于15%的损害,这使它们与未受损植物相比能保持同等适合度。该模型能够对地上和地下食草情况进行建模,并预测它们对整株植物生长和繁殖的影响。例如,我们可以预测地上部分损害对根系生长的影响。当与用进化博弈论预测植物生态学的其他进展相结合时,我们预计这将成为生成更多可测试假设的有价值工具。