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物种相互作用中对环境梯度条件性的进化响应。

Evolutionary Responses to Conditionality in Species Interactions across Environmental Gradients.

出版信息

Am Nat. 2018 Dec;192(6):715-730. doi: 10.1086/700118. Epub 2018 Oct 31.

Abstract

The outcomes of many species interactions are conditional on the environments in which they occur. Often, interactions grade from being more positive under stressful or low-resource conditions to more antagonistic or neutral under benign conditions. Here, we take predictions about two well-supported ecological theories on conditionality-limiting resource models and the stress-gradient hypothesis-and combine them with those from the geographic mosaic theory of coevolution (GMTC) to generate predictions for systematic patterns of adaptation and coadaptation between partners along abiotic gradients. When interactions become more positive in stressful environments, mutations that increase fitness in one partner may also increase fitness in the other; because fitnesses are aligned, selection should favor greater mutualistic adaptation and coadaptation between interacting species in stressful ends of environmental gradients. As a corollary, in benign environments antagonistic coadaptation could result in Red Queen or arms-race dynamics or the reduction of antagonism through character displacement and niche partitioning. Here, we distinguish between generally mutualistic or antagonistic adaptation (i.e., mutations in one partner that have similar effects across multiple populations of the other) and specific adaptations to sympatric partners (local adaptation), which can occur either alone or simultaneously. We then outline the kinds of data required to test these predictions, develop experimental designs and statistical methods, and demonstrate these using simulations based on GMTC models. Our methods can be applied to a range of conditional outcomes and may also be useful in assisted translocation approaches in the face of climate change.

摘要

许多物种相互作用的结果取决于它们所处的环境。通常情况下,在压力大或资源匮乏的条件下,相互作用会从更积极的方向发展,而在良性条件下则会变得更具对抗性或中性。在这里,我们结合限制资源模型和应激梯度假说这两个有充分依据的生态理论的预测,并将其与共进化的地理镶嵌理论(GMTC)的预测结合起来,对沿着非生物梯度的合作伙伴之间的适应和共适应的系统模式进行预测。当相互作用在压力环境中变得更加积极时,增加一个合作伙伴适应度的突变也可能增加另一个合作伙伴的适应度;因为适应度是一致的,选择应该有利于在环境梯度的压力端相互作用的物种之间进行更大的互利适应和共适应。作为推论,在良性环境中,拮抗共适应可能导致红皇后或军备竞赛动态,或者通过特征替代和生态位分离减少拮抗作用。在这里,我们区分一般互利或拮抗的适应(即一个合作伙伴的突变在多个其他合作伙伴的种群中具有相似的影响)和对同域伙伴的特定适应(局部适应),它可以单独或同时发生。然后,我们概述了测试这些预测所需的数据类型,开发了实验设计和统计方法,并使用基于 GMTC 模型的模拟来演示这些方法。我们的方法可应用于一系列有条件的结果,并且在面对气候变化时,对于辅助迁移方法也可能很有用。

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