Data from: Mutational effects depend on ploidy level: all else is not equal

AbstractPloidy is predicted to influence adaptation directly, yet whether single mutations behave the same in different ploidy backgrounds has not been well studied. It has often been assumed theoretically that aside from dominance, selective parameters do not differ between cells of varying ploidy. Using the budding yeast Saccharomyces cerevisiae, I compared the effect size of 20 adaptive mutations in haploids and homozygous diploids and found, surprisingly, that the same mutations often had a much larger effect in haploids than homozygous diploids. This empirical result demonstrates that it cannot be assumed that mutations will have the same effect in haploids and homozygous diploids., Usage notesTolerance parameter estimates from MLcombined_A_AA_MLc.csvBMN parameters for graphingParameters for data points (colours, position, pch etc.) from Gerstein et al. (Genetics, 2012) dataset.1207NBMnys_param.csvTolerance log-likelihood results from ML modelsResults from ML models for the three tolerance parameters (IC50, a50, m).NysIC50_A_AA_modelsig.csvR code to produce Figure1 (Tolerance data)1209 Figure1.RR code to produce Figure2 (Bioscreen data)R code for Figure 2. Includes statistical analysis for the bioscreen data.1207 Figure2_GR.RBioscreen dataGrowth rate data required to produce Figure 2.A_AA_rawdata.csv【摘要】倍性（ploidy）被认为可直接影响生物适应性，但单突变在不同倍性遗传背景中的表现是否一致，目前尚未得到充分研究。理论上此前通常假设，除显性效应外，不同倍性细胞的选择参数并无差异。本研究以出芽酵母酿酒酵母（Saccharomyces cerevisiae）为实验材料，对比了20个适应性突变在单倍体与纯合二倍体中的效应量，意外发现相同突变在单倍体中的效应往往远大于纯合二倍体。这一实验结果表明，不能想当然地认为突变在单倍体和纯合二倍体中的效应一致。 ## 使用说明 1. MLcombined_A_AA_MLc.csv：机器学习模型得到的耐受性参数估计值；用于绘图的BMN参数，以及数据点（颜色、位置、绘图符号pch等）的参数均源自Gerstein等人2012年发表于《Genetics》的数据集。 2. 1207NBMnys_param.csv：机器学习模型得到的耐受性对数似然结果，包含3种耐受性参数：半数抑制浓度（IC50）、a50、m的机器学习模型分析结果。 3. NysIC50_A_AA_modelsig.csv：无额外配套说明。 4. 1209 Figure1.R：用于生成图1（耐受性数据）的R代码。 5. 1207 Figure2_GR.R：用于生成图2的R代码，包含生物筛选（Bioscreen）数据的统计分析。 6. A_AA_rawdata.csv：即生物筛选（Bioscreen）数据，为生成图2所需的生长速率数据。