Department of Marine Sciences, University of Connecticut, Groton, CT, USA.
Glob Chang Biol. 2019 Dec;25(12):4147-4164. doi: 10.1111/gcb.14811. Epub 2019 Sep 23.
Differences in population vulnerability to warming are defined by spatial patterns in thermal adaptation. These patterns may be driven by natural selection over spatial environmental gradients, but can also be shaped by gene flow, especially in marine taxa with high dispersal potential. Understanding and predicting organismal responses to warming requires disentangling the opposing effects of selection and gene flow. We begin by documenting genetic divergence of thermal tolerance and developmental phenotypic plasticity. Ten populations of the widespread copepod Acartia tonsa were collected from sites across a large thermal gradient, ranging from the Florida Keys to Northern New Brunswick, Canada (spanning over 20° latitude). Thermal performance curves (TPCs) from common garden experiments revealed local adaptation at the sampling range extremes, with thermal tolerance increasing at low latitudes and decreasing at high latitudes. The opposite pattern was observed in phenotypic plasticity, which was strongest at high latitudes. No relationship was observed between phenotypic plasticity and environmental variables. Instead, the results are consistent with the hypothesis of a trade-off between thermal tolerance and the strength of phenotypic plasticity. Over a large portion of the sampled range, however, we observed a remarkable lack of differentiation of TPCs. To examine whether this lack of divergence is the result of selection for a generalist performance curve or constraint by gene flow, we analyzed cytochrome oxidase I mtDNA sequences, which revealed four distinct genetic clades, abundant genetic diversity, and widely distributed haplotypes. Strong divergence in thermal performance within genetic clades, however, suggests that the pace of thermal adaptation can be relatively rapid. The combined insight from the laboratory physiological experiments and genetic data indicate that gene flow constrains differentiation of TPCs. This balance between gene flow and selection has implications for patterns of vulnerability to warming. Taking both genetic differentiation and phenotypic plasticity into account, our results suggest that local adaptation does not increase vulnerability to warming, and that low-latitude populations in general may be more vulnerable to predicted temperature change over the next century.
种群对变暖的脆弱性差异由热适应的空间模式定义。这些模式可能是由空间环境梯度上的自然选择驱动的,但也可能受到基因流的影响,特别是在具有高扩散潜力的海洋分类群中。理解和预测生物对变暖的反应需要理清选择和基因流的相反作用。我们首先记录热耐受性和发育表型可塑性的遗传分化。从佛罗里达州群岛到加拿大新不伦瑞克省的广泛桡足类动物 Acartia tonsa 的十个种群从跨越 20°纬度的大温度梯度的地点采集。来自共同花园实验的热性能曲线 (TPC) 显示,在采样范围的极端处存在局部适应,低纬度的热耐受性增加,高纬度的热耐受性降低。表型可塑性观察到相反的模式,在高纬度地区最强。在表型可塑性和环境变量之间没有观察到关系。相反,结果与热耐受性和表型可塑性强度之间存在权衡的假设一致。然而,在很大一部分采样范围内,我们观察到 TPC 没有明显的分化。为了检查这种缺乏分化是否是对一般表现曲线的选择结果还是基因流的限制,我们分析了细胞色素氧化酶 I mtDNA 序列,结果显示存在四个不同的遗传分支、丰富的遗传多样性和广泛分布的单倍型。然而,遗传分支内热性能的强烈分化表明热适应的速度可能相对较快。实验室生理实验和遗传数据的综合见解表明,基因流限制了 TPC 的分化。基因流和选择之间的这种平衡对变暖脆弱性模式具有影响。考虑到遗传分化和表型可塑性,我们的结果表明,局部适应不会增加对变暖的脆弱性,一般来说,低纬度种群在未来一个世纪可能更容易受到预测的温度变化的影响。