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Mechanisms of thermal adaptation and evolutionary potential of conspecific populations to changing environments

机译:用于改变环境的主要适应和进化潜力的机制

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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 degrees 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.
机译:异构和不断变化的热环境驱动人口和物种的演变,尤其是当极端条件增加影响适合度的特征的选择压力时。然而,在气候变化的情况下,生物多样性的预测很少考虑天然物种的进化适应性潜力。在这项研究中,我们测试了生态发散的红带鳟鱼群体(oncorhynchus mykiss Gairdneri)在心肺功能,细胞反应和基因组变异中的进化热适应的机制证据。在一个共同的庭院环境中,来自极端沙漠气候的鱼类具有显着高的临界热量(P& .05)和更广泛的有氧范围(& 3摄氏度)的最佳热窗口,而不是来自冷却器蒙太金兰气候的鱼类。此外,沙漠群在变暖期间的最高心率最高(比山尾种群大20%),表明将氧气输送到内部组织的能力提高。响应于急性热应激,在生态型中诱导了不同的心脏基因,这有助于解释心肺功能的差异。这些生理适应的候选基因组标记物和基因也被定位,例如参与应激反应和代谢活性的基因(HSP40,LDH-B和CAMKK2)。这些标记被开发成多元模型,该模型不仅准确地预测了关键的热敏最大值,而且还具有相对于物种预期限制的这些特定的红带鳟鱼群的热适应的进化极限。本研究证明了在改变环境下进化的水生物种的机制和局限性,这些环境可以纳入先进模型,以预测天然生物的气候变化的生态后果。

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