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Minor taxa in human skin microbiome contribute to the personal identification

机译:人类皮肤微生物组中的小分类群有助于个人识别

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摘要

The human skin microbiome can vary over time, and inter-individual variability of the microbiome is greater than the temporal variability within an individual. The skin microbiome has become a useful tool to identify individuals, and one type of personal identification using the skin microbiome has been reported in a community of less than 20 individuals. However, identification of individuals based on the skin microbiome has shown low accuracy in communities larger than 80 individuals. Here, we developed a new approach for personal identification, which considers that minor taxa are one of the important factors for distinguishing between individuals. We originally established a human skin microbiome for 66 samples from 11 individuals over two years (33 samples each year). Our method could classify individuals with 85% accuracy beyond a one-year sampling period. Moreover, we applied our method to 837 publicly available skin microbiome samples from 89 individuals and succeeded in identifying individuals with 78% accuracy. In short, our results investigate that (i) our new personal identification method worked well with two different communities (our data: 11 individuals; public data: 89 individuals) using the skin microbiome, (ii) defining the personal skin microbiome requires samples from several time points, (iii) inclusion of minor skin taxa strongly contributes to the effectiveness of personal identification.
机译:人的皮肤微生物组可以随时间变化,并且微生物组的个体间差异大于个体内的时间差异。皮肤微生物组已经成为识别个人的有用工具,并且在少于20个人的社区中,已经报道了一种使用皮肤微生物组的个人识别类型。但是,基于皮肤微生物组的个体识别在超过80个个体的社区中显示出较低的准确性。在这里,我们开发了一种新的个人识别方法,该方法认为未成年人类群是区分个人的重要因素之一。我们最初建立了一个人类皮肤微生物组,在两年内从11个个体中获得了66个样本(每年33个样本)。我们的方法可以对超过一年采样期的个体进行85%的准确度分类。此外,我们将我们的方法应用于来自89个个体的837个可公开获得的皮肤微生物组样本,并成功地以78%的准确度鉴定了个体。简而言之,我们的结果调查了(i)我们新的个人识别方法在使用皮肤微生物组的两个不同社区(我们的数据:11个人;公共数据:89个人)中运作良好;(ii)定义个人皮肤微生物组需要以下样本:在几个时间点上,(iii)包括未成年人的皮肤分类群,极大地有助于了个人识别的有效性。

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