Does the number of functional olfactory receptor genes predict olfactory sensitivity and discrimination performance in mammals?

The number of functional genes coding for olfactory receptors differs markedly between species and has repeatedly been suggested to be predictive of a species’ olfactory capabilities. To test this assumption, we compiled a database of all published olfactory detection threshold values in mammals and used three sets of data on olfactory discrimination performance that employed the same structurally related monomolecular odor pairs with different mammal species. We extracted the number of functional olfactory receptor genes of the 20 mammal species for which we found data on olfactory sensitivity and/or olfactory discrimination performance from the Chordata Olfactory Receptor Database. We found that the overall olfactory detection thresholds significantly correlates with the number of functional olfactory receptor genes. Similarly, the overall proportion of successfully discriminated monomolecular odor pairs significantly correlates with the number of functional olfactory receptor genes. ..., Figure S1. Monotonic correlations between the number of functional olfactory receptor genes and olfactory detection threshold values for 1-octanol (A, rho = -0.975 p = 0.005), 2-octanone (B, rho = -1 p = 0.017), 2-nonanone (C, rho = -1 p = 0.017), n-butyl acetate (D, rho = 0.883 p = 0.009), and iso-butyl acetate (E, rho = -0.886  p = 0.033).
Figure S2. Plot of the 128 monotonic correlations performed against the number of functional olfactory receptor genes. A: results based on Spearman's rank-correlation test and B, results based on PGLS. 
Figure S3. Distributions of the likelihood ratio statistic for two evolutionary models (Brownian motion (BM) and white noise) fitted to the residuals of the regressions between the number of functional olfactory receptor genes and the threshold detection of the n-butanoic acid (A) as well as between the number of functional olfactory receptor genes and the success of odor pairs discrimination (B, C, D, E). For the success of odor pairs discrimination..., , # Data from: Does the number of functional olfactory receptor genes predict olfactory sensitivity and discrimination performance in mammals?

## Description of the data and file structure

The data consist of four figures, twelve tables, and one folder containing all the R scripts.

**Figure S1**. Monotonic correlations between the number of functional olfactory receptor genes and olfactory detection threshold values for 1-octanol (A, rho = -0.975 p = 0.005), 2-octanone (B, rho = -1 p = 0.017), 2-nonanone (C, rho = -1 p = 0.017), *n*-butyl acetate (D, rho = 0.883 p = 0.009), and iso-butyl acetate (E, rho = -0.886  p = 0.033).

**Figure S2.** Plot of the 128 monotonic correlations performed against the number of functional olfactory receptor genes. A: results based on Spearman's rank-correlation test and B, results based on PGLS.** **

**Figure S3.** Distributions of the likelihood ratio statistic for two evolutionary models (Brownian motion (BM) and white noise) fitted to the residual...

不同物种间编码嗅觉受体的功能性基因数量存在显著差异，且已有多项研究表明该指标可用于预测物种的嗅觉能力。为验证这一假设，我们汇编了已发表的全部哺乳动物嗅觉检测阈值数据集，并采用了三组基于相同结构相关单分子气味对、针对不同哺乳动物物种的嗅觉辨别性能数据。我们从脊索动物嗅觉受体数据库（Chordata Olfactory Receptor Database）中提取了20种哺乳动物的功能性嗅觉受体基因数量，这些物种均具备嗅觉灵敏度和/或嗅觉辨别性能的相关数据。研究发现，整体嗅觉检测阈值与功能性嗅觉受体基因数量显著相关；同样，成功辨别的单分子气味对总占比也与功能性嗅觉受体基因数量显著相关。……

**补充图S1**：功能性嗅觉受体基因数量与1-辛醇（A，rho=-0.975，p=0.005）、2-辛酮（B，rho=-1，p=0.017）、2-壬酮（C，rho=-1，p=0.017）、乙酸正丁酯（D，rho=0.883，p=0.009）及乙酸异丁酯（E，rho=-0.886，p=0.033）的嗅觉检测阈值间的单调相关关系。

**补充图S2**：针对功能性嗅觉受体基因数量开展的128项单调相关分析结果绘图。A：基于斯皮尔曼等级相关检验（Spearman's rank-correlation test）的结果；B：基于系统发生广义最小二乘（PGLS）的结果。

**补充图S3**：针对两种进化模型（布朗运动（Brownian motion, BM）与白噪音模型）拟合的似然比统计量分布，该拟合基于功能性嗅觉受体基因数量与正丁酸阈值检测结果间回归的残差（A），以及功能性嗅觉受体基因数量与气味对辨别成功率间回归的残差（B、C、D、E）。针对气味对辨别成功率的……

# 数据来源：《功能性嗅觉受体基因数量能否预测哺乳动物的嗅觉灵敏度与辨别性能？》

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## 数据集与文件结构说明
本数据集包含4幅补充图、12张表格以及一个包含全部R脚本的文件夹。

**补充图S1**：功能性嗅觉受体基因数量与1-辛醇（A，rho=-0.975，p=0.005）、2-辛酮（B，rho=-1，p=0.017）、2-壬酮（C，rho=-1，p=0.017）、乙酸正丁酯（D，rho=0.883，p=0.009）及乙酸异丁酯（E，rho=-0.886，p=0.033）的嗅觉检测阈值间的单调相关关系。

**补充图S2**：针对功能性嗅觉受体基因数量开展的128项单调相关分析结果绘图。A：基于斯皮尔曼等级相关检验（Spearman's rank-correlation test）的结果；B：基于系统发生广义最小二乘（PGLS）的结果。

**补充图S3**：针对两种进化模型（布朗运动（Brownian motion, BM）与白噪音模型）拟合的似然比统计量分布，该拟合基于功能性嗅觉受体基因数量与正丁酸阈值检测结果间回归的残差（A），以及功能性嗅觉受体基因数量与气味对辨别成功率间回归的残差（B、C、D、E）。