Department of Evolutionary Biology and Environmental Studies, University of Zürich, Winterthurerstrasse 190, Zürich, CH-8057, Switzerland.
Department of Aquatic Ecology, Eawag: Swiss Federal Institute of Aquatic Science and Technology, Überlandstrasse 133, Dübendorf, CH-8600, Switzerland.
Evolution. 2020 Mar;74(3):573-586. doi: 10.1111/evo.13921. Epub 2020 Jan 28.
Abiotic stress is a major force of selection that organisms are constantly facing. While the evolutionary effects of various stressors have been broadly studied, it is only more recently that the relevance of interactions between evolution and underlying ecological conditions, that is, eco-evolutionary feedbacks, have been highlighted. Here, we experimentally investigated how populations adapt to pH-stress under high population densities. Using the protist species Tetrahymena thermophila, we studied how four different genotypes evolved in response to stressfully low pH conditions and high population densities. We found that genotypes underwent evolutionary changes, some shifting up and others shifting down their intrinsic rates of increase (r ). Overall, evolution at low pH led to the convergence of r and intraspecific competitive ability (α) across the four genotypes. Given the strong correlation between r and α, we argue that this convergence was a consequence of selection for increased density-dependent fitness at low pH under the experienced high density conditions. Increased density-dependent fitness was either attained through increase in r , or decrease of α, depending on the genetic background. In conclusion, we show that demography can influence the direction of evolution under abiotic stress.
非生物胁迫是生物体不断面临的主要选择压力。虽然各种胁迫因素的进化影响已经得到广泛研究,但直到最近,进化与潜在生态条件之间的相关性,即生态进化反馈的相关性,才被强调。在这里,我们通过实验研究了在高种群密度下,种群如何适应 pH 胁迫。我们使用原生动物物种嗜热四膜虫(Tetrahymena thermophila),研究了四种不同基因型如何对低 pH 胁迫和高种群密度做出反应。我们发现基因型发生了进化变化,一些向上移动,另一些向下移动其内在增长率(r)。总体而言,低 pH 下的进化导致 r 和种内竞争能力(α)在四个基因型之间趋同。鉴于 r 和 α 之间存在很强的相关性,我们认为这种趋同是在经历的高密度条件下,选择在低 pH 下增加密度依赖性适应性的结果。增加的密度依赖性适应性是通过 r 的增加或 α 的减少来实现的,具体取决于遗传背景。总之,我们表明,在非生物胁迫下,人口统计学可以影响进化的方向。