2017
DOI: 10.1128/msystems.00043-17
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The Skin Microbiome of Cohabiting Couples

Abstract: 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. Fol… Show more

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Cited by 94 publications
(99 citation statements)
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References 61 publications
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“…Architectural design affects human or animal behavior, i.e., their interactions with each other and their surroundings, indoors [42,43] and how and where we emit and deposit our unique individual microbial communities [44][45][46]. The occupant-associated proportion of indoor microbial communities can be directly attributed to the individuals who spend sufficient time within that space [43,[47][48][49][50][51][52] and what household activities are performed, allowing for epidemiological tracking of infectious organisms [53] or microbial forensics [54]. The amount of occupancy in buildings, influenced by building type, occupancy schedule, and indoor activity, facilitates the accrual of human-associated microorganisms [34,44,55,56].…”
Section: Insularity or Connectivity Contributes To Microbial Transmismentioning
confidence: 99%
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“…Architectural design affects human or animal behavior, i.e., their interactions with each other and their surroundings, indoors [42,43] and how and where we emit and deposit our unique individual microbial communities [44][45][46]. The occupant-associated proportion of indoor microbial communities can be directly attributed to the individuals who spend sufficient time within that space [43,[47][48][49][50][51][52] and what household activities are performed, allowing for epidemiological tracking of infectious organisms [53] or microbial forensics [54]. The amount of occupancy in buildings, influenced by building type, occupancy schedule, and indoor activity, facilitates the accrual of human-associated microorganisms [34,44,55,56].…”
Section: Insularity or Connectivity Contributes To Microbial Transmismentioning
confidence: 99%
“…A contrasting strategy to reducing human-human microbial transmission indoors that has only recently been proposed is simply a return to social practices that embrace positive hostmicrobial transfers to facilitate a diverse human microbiota. Cohabiting humans share microbiota with each other, the degree of which corresponds to the nature of their relationship and level of intimacy they share [49,71]. In terms of the built environment, this involves combining space types or otherwise fostering certain human-human interactions.…”
Section: Insularity or Connectivity Contributes To Microbial Transmismentioning
confidence: 99%
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“…A total of 22,728 unique operational taxonomic units (OTUs) were obtained that corresponded to 44 prokaryotic phyla. The following general taxonomic distributions of the mammalian skin microbiota exclude the human samples that were published previously as part of a broader human cohabitation study (32). There were six phyla present above 1% abundance that constituted a mean of 96.0±4.0% of all reads ( Supplementary Table 1): Firmicutes (33.6±20.4%), Proteobacteria (28.5±19.1%), Actinobacteria (23.6±16.1%), Bacteroidetes (7.6±4.9%), Cyanobacteria (1.5±2.6%), and Chloroflexi (1.1±1.8%).…”
Section: Resultsmentioning
confidence: 99%
“…The back, torso, and inner thigh regions of 177 non-human mammals were collected using sterile foam swabs (Puritan) according to a previously published protocol (32). In addition, we included data from 77 equivalent samples (the right and left inner thigh were sampled from each participant) from 20 human participants from a previous study that were sampled from November 2015-February 2016 (32) in the analysis for comparison purposes, for a total of 589 samples. These regions were chosen to capture both moist and dry regions and avoid sensitive areas that may cause distress.…”
Section: Sample Collectionmentioning
confidence: 99%