Institute for Interdisciplinary Data Sciences (IIDS), University of Idaho, Moscow, Idaho, USA.
Department of Fish and Wildlife Sciences, College of Natural Resources, University of Idaho, Moscow, Idaho, USA.
Mol Ecol. 2023 Feb;32(4):800-818. doi: 10.1111/mec.16810. Epub 2022 Dec 19.
Aquatic ectotherms are predicted to harbour genomic signals of local adaptation resulting from selective pressures driven by the strong influence of climate conditions on body temperature. We investigated local adaptation in redband trout (Oncorhynchus mykiss gairdneri) using genome scans for 547 samples from 11 populations across a wide range of habitats and thermal gradients in the interior Columbia River. We estimated allele frequencies for millions of single nucleotide polymorphism loci (SNPs) across populations using low-coverage whole genome resequencing, and used population structure outlier analyses to identify genomic regions under divergent selection between populations. Twelve genomic regions showed signatures of local adaptation, including two regions associated with genes known to influence migration and developmental timing in salmonids (GREB1L, ROCK1, SIX6). Genotype-environment association analyses indicated that diurnal temperature variation was a strong driver of local adaptation, with signatures of selection driven primarily by divergence of two populations in the northern extreme of the subspecies range. We also found evidence for adaptive differences between high-elevation desert vs. montane habitats at a smaller geographical scale. Finally, we estimated vulnerability of redband trout to future climate change using ecological niche modelling and genetic offset analyses under two climate change scenarios. These analyses predicted substantial habitat loss and strong genetic shifts necessary for adaptation to future habitats, with the greatest vulnerability predicted for high-elevation desert populations. Our results provide new insight into the complexity of local adaptation in salmonids, and important predictions regarding future responses of redband trout to climate change.
水生变温动物预计会拥有基因组适应信号,这些信号是由气候条件对体温的强烈影响所驱动的选择压力造成的。我们使用基因组扫描调查了红大麻哈鱼(Oncorhynchus mykiss gairdneri)的局部适应情况,该扫描针对 11 个种群的 547 个样本进行,这些种群分布在哥伦比亚河内部的广泛栖息地和温度梯度中。我们使用低覆盖率的全基因组重测序估算了数百万个单核苷酸多态性(SNP)在种群中的等位基因频率,并使用种群结构异常值分析来识别种群之间存在分歧选择的基因组区域。有 12 个基因组区域显示出局部适应的特征,其中包括两个与影响鲑鱼迁移和发育时间的基因有关的区域(GREB1L、ROCK1、SIX6)。基因型-环境关联分析表明,昼夜温度变化是局部适应的主要驱动力,选择的特征主要由亚种分布范围最北部的两个种群的分歧驱动。我们还在较小的地理尺度上发现了高海拔沙漠与山地生境之间存在适应性差异的证据。最后,我们使用生态位模型和遗传偏移分析,在两种气候变化情景下,估算了红大麻哈鱼对未来气候变化的脆弱性。这些分析预测了未来栖息地的大量生境丧失和适应所需的强烈遗传变化,高海拔沙漠种群的脆弱性最大。我们的研究结果提供了鲑鱼局部适应复杂性的新见解,并对红大麻哈鱼未来对气候变化的反应做出了重要预测。