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Microbial Biogeography of Public Restroom Surfaces

机译:公共厕所表面的微生物生物地理学

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摘要

We spend the majority of our lives indoors where we are constantly exposed to bacteria residing on surfaces. However, the diversity of these surface-associated communities is largely unknown. We explored the biogeographical patterns exhibited by bacteria across ten surfaces within each of twelve public restrooms. Using high-throughput barcoded pyrosequencing of the 16 S rRNA gene, we identified 19 bacterial phyla across all surfaces. Most sequences belonged to four phyla: Actinobacteria, Bacteriodetes, Firmicutes and Proteobacteria. The communities clustered into three general categories: those found on surfaces associated with toilets, those on the restroom floor, and those found on surfaces routinely touched with hands. On toilet surfaces, gut-associated taxa were more prevalent, suggesting fecal contamination of these surfaces. Floor surfaces were the most diverse of all communities and contained several taxa commonly found in soils. Skin-associated bacteria, especially the Propionibacteriaceae, dominated surfaces routinely touched with our hands. Certain taxa were more common in female than in male restrooms as vagina-associated Lactobacillaceae were widely distributed in female restrooms, likely from urine contamination. Use of the SourceTracker algorithm confirmed many of our taxonomic observations as human skin was the primary source of bacteria on restroom surfaces. Overall, these results demonstrate that restroom surfaces host relatively diverse microbial communities dominated by human-associated bacteria with clear linkages between communities on or in different body sites and those communities found on restroom surfaces. More generally, this work is relevant to the public health field as we show that human-associated microbes are commonly found on restroom surfaces suggesting that bacterial pathogens could readily be transmitted between individuals by the touching of surfaces. Furthermore, we demonstrate that we can use high-throughput analyses of bacterial communities to determine sources of bacteria on indoor surfaces, an approach which could be used to track pathogen transmission and test the efficacy of hygiene practices.
机译:我们一生的大部分时间都在室内度过,因为我们经常暴露在表面的细菌中。但是,这些与表面相关的群落的多样性在很大程度上是未知的。我们探索了细菌在十二个公共厕所中的十个表面上展现出的生物地理模式。使用16 S rRNA基因的高通量条形码焦磷酸测序,我们在所有表面鉴定出19种细菌门。大多数序列属于四个门:放线菌,拟杆菌,Firmicutes和Proteobacteria。社区大致分为三类:与厕所相关的表面,洗手间地板上的表面以及经常用手触摸的表面上的社区。在马桶表面,肠道相关的分类单元更为普遍,表明这些表面受到粪便污染。地板表面是所有社区中最多样化的,包含土壤中常见的几种分类单元。与皮肤相关的细菌,特别是丙酸丙酸杆菌,是经常用手触摸的主要表面。某些分类单位在女性洗手间比在男性洗手间更为常见,因为与阴道相关的乳杆菌科广泛分布在女性洗手间中,很可能是由于尿液污染引起的。 SourceTracker算法的使用证实了我们的许多分类学观察结果,因为人类皮肤是厕所表面细菌的主要来源。总体而言,这些结果表明,洗手间表面拥有以人类相关细菌为主的相对多样化的微生物群落,并且在不同身体部位或不同部位的群落与在洗手间表面上的那些群落之间有着明确的联系。更广泛地讲,这项工作与公共卫生领域有关,因为我们表明与人类相关的微生物通常在洗手间表面上发现,这表明细菌性病原体很容易通过触摸表面而在个体之间传播。此外,我们证明我们可以使用细菌群落的高通量分析来确定室内表面细菌的来源,该方法可用于跟踪病原体传播并测试卫生习惯的有效性。

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