Department of Zoology, The University of British Columbia, Vancouver, BC, Canada.
Faculty of Land and Food Systems, The University of British Columbia, Vancouver, BC, Canada.
Mol Ecol. 2018 Feb;27(3):659-674. doi: 10.1111/mec.14475. Epub 2018 Jan 31.
Heterogeneous and ever-changing thermal environments drive the evolution of populations and species, especially when extreme conditions increase selection pressure for traits influencing fitness. However, projections of biological diversity under scenarios of climate change rarely consider evolutionary adaptive potential of natural species. In this study, we tested for mechanistic evidence of evolutionary thermal adaptation among ecologically divergent redband trout populations (Oncorhynchus mykiss gairdneri) in cardiorespiratory function, cellular response and genomic variation. In a common garden environment, fish from an extreme desert climate had significantly higher critical thermal maximum (p < .05) and broader optimum thermal window for aerobic scope (>3°C) than fish from cooler montane climate. In addition, the desert population had the highest maximum heart rate during warming (20% greater than montane populations), indicating improved capacity to deliver oxygen to internal tissues. In response to acute heat stress, distinct sets of cardiac genes were induced among ecotypes, which helps to explain the differences in cardiorespiratory function. Candidate genomic markers and genes underlying these physiological adaptations were also pinpointed, such as genes involved in stress response and metabolic activity (hsp40, ldh-b and camkk2). These markers were developed into a multivariate model that not only accurately predicted critical thermal maxima, but also evolutionary limit of thermal adaptation in these specific redband trout populations relative to the expected limit for the species. This study demonstrates mechanisms and limitations of an aquatic species to evolve under changing environments that can be incorporated into advanced models to predict ecological consequences of climate change for natural organisms.
异质且不断变化的热环境驱动着种群和物种的进化,尤其是在极端条件下增加了影响适应度的特征的选择压力时。然而,在气候变化情景下预测生物多样性很少考虑自然物种的进化适应潜力。在这项研究中,我们通过比较红大马哈鱼(Oncorhynchus mykiss gairdneri)在心肺功能、细胞反应和基因组变异方面的生态差异种群,测试了进化热适应的机制证据。在一个共同的花园环境中,来自极端沙漠气候的鱼类的临界热最大值(p <.05)和有氧范围的最佳热窗(> 3°C)明显高于来自凉爽山区气候的鱼类。此外,沙漠种群在升温过程中心率最高(比山区种群高 20%),这表明其向内部组织输送氧气的能力得到了提高。在急性热应激下,不同生态型之间诱导了不同的心脏基因,这有助于解释心肺功能的差异。还确定了这些生理适应的候选基因组标记和基因,例如参与应激反应和代谢活动的基因(hsp40、ldh-b 和 camkk2)。这些标记被开发成一个多元模型,不仅可以准确预测临界热最大值,还可以预测这些特定红大马哈鱼种群相对于物种预期极限的热适应进化极限。这项研究证明了水生物种在变化的环境中进化的机制和限制,可以将其纳入高级模型中,以预测气候变化对自然生物的生态后果。