The Skin Microbiome of Cohabiting Couples.

The Skin Microbiome of Cohabiting Couples.
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同居夫妇的皮肤微生物组。

DOI:
10.1128/msystems.00043-17
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发表时间:
2017-07
期刊:
影响因子:
6.4
通讯作者:
Neufeld JD
Neufeld JD
中科院分区:
生物学2区
文献类型:
--
作者:
Ross AA;Doxey AC;Neufeld JD

文献摘要

被引文献

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我们的工作将同居的影响描述为影响皮肤微生物群组成的一个因素。尽管在这项研究中,身体部位和被采样的个体比作为元数据收集的其他因素的影响更大,但我们表明,对检测到的微生物类群进行建模可以帮助使用机器学习方法根据皮肤微生物群特征正确识别同居伴侣。这些结果表明,同居伴侣可以显著影响我们的微生物区系。后续研究将对调查共享微生物组对皮肤病健康的影响以及同居父母对婴儿微生物组谱的共同贡献具有重要意义。不同的微生物群落作为人类皮肤微生物群的一部分生活在个体中,并不断地脱落到周围环境中。10对性生活活跃的同居夫妇(20人)的17个皮肤部位的微生物群落被抽样,以测试同居是否影响个人的皮肤微生物群,从而导致伴侣之间共享皮肤微生物区系。从340个皮肤拭子中扩增出细菌和古细菌的16S rRNA基因,并进行高通量测序,结果表明,共生与微生物群落组成显著相关,但这种相关性被身体位置和个性特征大大超过了这种相关性。随机森林模型显示,根据伴侣的皮肤微生物群特征,86%的时间(P<0.001)可以预测到伴侣,这总是大于错误匹配的伴侣的组合。根据Bray-Curtis Distance的数据,同居夫妇的脚上总体上的微生物群落最相似。相比之下,大腿微生物群落与生物性别密切相关,而不是同居伴侣。与特定身体部位的皮肤微生物群相关的其他因素包括护肤品的使用、宠物的饲养、过敏和饮酒。这些基线数据确定了皮肤微生物群与同居个人之间的日常互动之间的联系,增加了塑造人类微生物群的已知因素,进而增加了其与人类健康的关系。重要性我们的工作将同居的影响描述为影响皮肤微生物群组成的一个因素。尽管在这项研究中,身体部位和被采样的个体比作为元数据收集的其他因素的影响更大,但我们表明,对检测到的微生物类群进行建模可以帮助使用机器学习方法根据皮肤微生物群特征正确识别同居伴侣。这些结果表明,同居伴侣可以显著影响我们的微生物区系。后续研究将对调查共享微生物区系对皮肤病健康的影响以及同居父母对其婴儿微生物群谱的贡献具有重要意义。
Our work characterizes the influence of cohabitation as a factor influencing the composition of the skin microbiome. Although the body site and sampled individual were stronger influences than other factors collected as metadata in this study, we show that modeling of detected microbial taxa can help with correct identifications of cohabiting partners based on skin microbiome profiles using machine learning approaches. These results show that a cohabiting partner can significantly influence our microbiota. Follow-up studies will be important for investigating the implications of shared microbiome on dermatological health and the shared contributions of cohabiting parents to the microbiome profiles of their infants. Distinct microbial communities inhabit individuals as part of the human skin microbiome and are continually shed to the surrounding environment. Microbial communities from 17 skin sites of 10 sexually active cohabiting couples (20 individuals) were sampled to test whether cohabitation impacts an individual’s skin microbiome, leading to shared skin microbiota among partner pairs. Amplified 16S rRNA genes of bacteria and archaea from a total of 340 skin swabs were analyzed by high-throughput sequencing, and the results demonstrated that cohabitation was significantly associated with microbial community composition, although this association was greatly exceeded by characteristics of body location and individuality. Random forest modeling demonstrated that the partners could be predicted 86% of the time (P < 0.001) based on their skin microbiome profiles, which was always greater than combinations of incorrectly matched partners. Cohabiting couples had the most similar overall microbial skin communities on their feet, according to Bray-Curtis distances. In contrast, thigh microbial communities were strongly associated with biological sex rather than cohabiting partner. Additional factors that were associated with the skin microbiome of specific body locations included the use of skin care products, pet ownership, allergies, and alcohol consumption. These baseline data identified links between the skin microbiome and daily interactions among cohabiting individuals, adding to known factors that shape the human microbiome and, by extension, its relation to human health. IMPORTANCE Our work characterizes the influence of cohabitation as a factor influencing the composition of the skin microbiome. Although the body site and sampled individual were stronger influences than other factors collected as metadata in this study, we show that modeling of detected microbial taxa can help with correct identifications of cohabiting partners based on skin microbiome profiles using machine learning approaches. These results show that a cohabiting partner can significantly influence our microbiota. Follow-up studies will be important for investigating the implications of shared microbiota on dermatological health and the contributions of cohabiting parents to the microbiome profiles of their infants.