Abdul-Rahman Farah, Gresham David
Department of Ecology and Evolutionary Biology, Yale University, New Haven.
Microbial Sciences Institute, Yale University, New Haven.
bioRxiv. 2025 Jul 26:2025.07.22.666191. doi: 10.1101/2025.07.22.666191.
A central question in evolutionary biology is how different types of mutations shape ecological strategy. Whereas both single nucleotide variants (SNVs) and copy number variants (CNVs) can alter gene dosage, it remains unclear whether CNVs confer unique adaptive advantages. Here, we show that CNVs do not mediate adaptive tracking in fluctuating environments, but instead act as reversible toggles between ecological strategies. Using a dual-fluorescent CNV reporter system in , we tracked CNV dynamics at two transporter loci during long-term evolution under static and fluctuating nitrogen limitation. CNVs arose with high repeatability in static conditions but showed dampened or divergent dynamics in fluctuating environments, suggesting they do not track environmental change. Instead, we found that the ratio of copy number between the two loci, but not copy number at either locus alone, predicted ecological strategy: imbalanced CNV ratios defined specialists, while balanced ratios defined generalists. Evolution in static environments favored specialists whereas fluctuating environments favored generalists. Applying this framework to over 3,000 sequenced yeast genomes, we found generalist CNV signatures in both wild and domesticated strains, but specialist signatures exclusively in domesticated strains. These findings introduce a generalizable framework for predicting ecological strategy from genome structure, positioning CNV ratios as a molecular signature of niche breadth across evolutionary and ecological contexts.
进化生物学中的一个核心问题是不同类型的突变如何塑造生态策略。虽然单核苷酸变异(SNV)和拷贝数变异(CNV)都可以改变基因剂量,但CNV是否具有独特的适应性优势仍不清楚。在这里,我们表明CNV在波动环境中不介导适应性追踪,而是作为生态策略之间的可逆切换。我们在[具体实验对象]中使用双荧光CNV报告系统,在静态和波动的氮限制条件下长期进化过程中,追踪了两个转运蛋白位点的CNV动态。CNV在静态条件下以高重复性出现,但在波动环境中显示出减弱或不同的动态,这表明它们不追踪环境变化。相反,我们发现两个位点之间的拷贝数比例,而不是任何一个位点单独的拷贝数,预测了生态策略:不平衡的CNV比例定义了 specialists,而平衡的比例定义了 generalists。静态环境中的进化有利于specialists,而波动环境有利于generalists。将这个框架应用于3000多个已测序的酵母基因组,我们在野生和驯化菌株中都发现了generalist的CNV特征,但仅在驯化菌株中发现了specialist的特征。这些发现引入了一个可推广的框架,用于从基因组结构预测生态策略,将CNV比例定位为跨进化和生态背景的生态位宽度的分子特征。