Institute for Genomics and Systems Biology, Biosciences Department, Argonne National Laboratory, 9700 South Cass Avenue, Argonne, IL 60439 USA ; Department of Ecology and Evolution, University of Chicago, 1101 E 57th Street, Chicago, IL 60637 USA.
Institute for Genomics and Systems Biology, Biosciences Department, Argonne National Laboratory, 9700 South Cass Avenue, Argonne, IL 60439 USA.
Microbiome. 2015 May 12;3:21. doi: 10.1186/s40168-015-0082-9. eCollection 2015.
Microbial interaction between human-associated objects and the environments we inhabit may have forensic implications, and the extent to which microbes are shared between individuals inhabiting the same space may be relevant to human health and disease transmission. In this study, two participants sampled the front and back of their cell phones, four different locations on the soles of their shoes, and the floor beneath them every waking hour over a 2-day period. A further 89 participants took individual samples of their shoes and phones at three different scientific conferences.
Samples taken from different surface types maintained significantly different microbial community structures. The impact of the floor microbial community on that of the shoe environments was strong and immediate, as evidenced by Procrustes analysis of shoe replicates and significant correlation between shoe and floor samples taken at the same time point. Supervised learning was highly effective at determining which participant had taken a given shoe or phone sample, and a Bayesian method was able to determine which participant had taken each shoe sample based entirely on its similarity to the floor samples. Both shoe and phone samples taken by conference participants clustered into distinct groups based on location, though much more so when an unweighted distance metric was used, suggesting sharing of low-abundance microbial taxa between individuals inhabiting the same space.
Correlations between microbial community sources and sinks allow for inference of the interactions between humans and their environment.
人类相关物品与我们居住环境之间的微生物相互作用可能具有法医学意义,而同一空间内个体之间微生物的共享程度可能与人类健康和疾病传播有关。在这项研究中,两名参与者在两天的时间里,每小时都会采集手机正面和背面、鞋底四个不同位置以及脚下地板的样本。另有 89 名参与者在三个不同的科学会议上分别采集了鞋子和手机的样本。
取自不同表面类型的样本保持着显著不同的微生物群落结构。地板微生物群落对鞋环境的影响是强烈而直接的,这可以通过对鞋样本的普克鲁斯分析和同一时间点采集的鞋和地板样本之间的显著相关性得到证明。监督学习在确定给定的鞋或手机样本是由哪位参与者采集的方面非常有效,贝叶斯方法可以根据与地板样本的相似性来确定每位参与者采集的每只鞋样本。根据位置,会议参与者采集的鞋子和手机样本聚类成不同的组,尽管当使用未加权距离度量时,聚类效果更加明显,这表明同一空间内的个体之间存在低丰度微生物类群的共享。
微生物群落源和汇之间的相关性允许推断人类与其环境之间的相互作用。