Science · 2014 · 944 citations · 24 references
Life SciencesBiologyMicrobiologyMicrobial EcologyMicrobial GenomicsMicrobiome ResearchMicrobial Community DynamicsMicrobiome Data AnalysisMicrobiome DiversityMicrobiome DynamicsBayesian Network AnalysisBuilt Environment MicrobiomesHuman MicrobiomeLongitudinal Microbiome DynamicsMicrobial Colonization DynamicsMicrobial Community CompositionMicrobiome Network AnalysisTemporal Microbiome Dynamics
Bacteria colonizing humans and built environments can influence health. The study tracked microbial communities in seven families and their homes over six weeks, including three families that relocated. Microbial communities varied by home but were largely sourced from humans, with each home’s microbiota traceable to its family; network and Bayesian analyses linked occupants to their dwellings, and after moving, a new house’s microbiome rapidly converged to that of the former home.
The bacteria that colonize humans and our built environments have the potential to influence our health. Microbial communities associated with seven families and their homes over 6 weeks were assessed, including three families that moved their home. Microbial communities differed substantially among homes, and the home microbiome was largely sourced from humans. The microbiota in each home were identifiable by family. Network analysis identified humans as the primary bacterial vector, and a Bayesian method significantly matched individuals to their dwellings. Draft genomes of potential human pathogens observed on a kitchen counter could be matched to the hands of occupants. After a house move, the microbial community in the new house rapidly converged on the microbial community of the occupants' former house, suggesting rapid colonization by the family's microbiota.
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The RAST Server: Rapid Annotations using Subsystems Technology
Ramy K. Aziz, Daniela Bartels, Aaron A. Best et al. · BMC Genomics · 2008 · 11.8K citations · Full text