Department of Biology, Stanford University, Stanford, CA, USA.
Department of Biology, University of Pennsylvania, Philadelphia, PA, USA.
Nature. 2024 Oct;634(8033):389-396. doi: 10.1038/s41586-024-07834-x. Epub 2024 Aug 14.
Temporally fluctuating environmental conditions are a ubiquitous feature of natural habitats. Yet, how finely natural populations adaptively track fluctuating selection pressures via shifts in standing genetic variation is unknown. Here we generated genome-wide allele frequency data every 1-2 generations from a genetically diverse population of Drosophila melanogaster in extensively replicated field mesocosms from late June to mid-December (a period of approximately 12 total generations). Adaptation throughout the fundamental ecological phases of population expansion, peak density and collapse was underpinned by extremely rapid, parallel changes in genomic variation across replicates. Yet, the dominant direction of selection fluctuated repeatedly, even within each of these ecological phases. Comparing patterns of change in allele frequency to an independent dataset procured from the same experimental system demonstrated that the targets of selection are predictable across years. In concert, our results reveal a fitness relevance of standing variation that is likely to be masked by inference approaches based on static population sampling or insufficiently resolved time-series data. We propose that such fine-scaled, temporally fluctuating selection may be an important force contributing to the maintenance of functional genetic variation in natural populations and an important stochastic force impacting genome-wide patterns of diversity at linked neutral sites, akin to genetic draft.
时间波动的环境条件是自然栖息地的普遍特征。然而,自然种群如何通过遗传变异的变化来适应波动的选择压力,这一点尚不清楚。在这里,我们从一个遗传多样性的黑腹果蝇种群中生成了全基因组等位基因频率数据,这些数据是在从 6 月底到 12 月中旬(大约 12 个总世代)的广泛复制的野外中培养的。在种群扩张、密度峰值和崩溃的基本生态阶段,适应性是由在复制过程中基因组变异的极其快速和并行变化所支撑的。然而,即使在这些生态阶段中的每一个阶段,选择的主导方向也反复波动。将等位基因频率变化的模式与从同一实验系统获得的独立数据集进行比较表明,选择的目标在不同年份是可以预测的。总之,我们的研究结果揭示了在自然种群中,遗传变异的适应性具有重要意义,这种意义可能会被基于静态种群抽样或分辨率不够的时间序列数据的推断方法所掩盖。我们提出,这种细粒度的、时间波动的选择可能是维持自然种群功能遗传变异的一个重要因素,也是影响连锁中性位点多样性全基因组模式的一个重要随机因素,类似于遗传选择。