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Nat Med ; 26(6): 941-951, 2020 06.
Artículo en Inglés | MEDLINE | ID: mdl-32514171

RESUMEN

Although disinfection is key to infection control, the colonization patterns and resistomes of hospital-environment microbes remain underexplored. We report the first extensive genomic characterization of microbiomes, pathogens and antibiotic resistance cassettes in a tertiary-care hospital, from repeated sampling (up to 1.5 years apart) of 179 sites associated with 45 beds. Deep shotgun metagenomics unveiled distinct ecological niches of microbes and antibiotic resistance genes characterized by biofilm-forming and human-microbiome-influenced environments with corresponding patterns of spatiotemporal divergence. Quasi-metagenomics with nanopore sequencing provided thousands of high-contiguity genomes, phage and plasmid sequences (>60% novel), enabling characterization of resistome and mobilome diversity and dynamic architectures in hospital environments. Phylogenetics identified multidrug-resistant strains as being widely distributed and stably colonizing across sites. Comparisons with clinical isolates indicated that such microbes can persist in hospitals for extended periods (>8 years), to opportunistically infect patients. These findings highlight the importance of characterizing antibiotic resistance reservoirs in hospitals and establish the feasibility of systematic surveys to target resources for preventing infections.


Asunto(s)
Infección Hospitalaria/microbiología , Farmacorresistencia Bacteriana/genética , Equipos y Suministros de Hospitales/microbiología , Control de Infecciones , Microbiota/genética , Lechos/microbiología , Biopelículas , Infección Hospitalaria/tratamiento farmacológico , Infección Hospitalaria/transmisión , Desinfección , Farmacorresistencia Bacteriana Múltiple/genética , Contaminación de Equipos , Mapeo Geográfico , Humanos , Metagenómica , Infecciones Oportunistas/tratamiento farmacológico , Infecciones Oportunistas/microbiología , Infecciones Oportunistas/transmisión , Habitaciones de Pacientes , Singapur , Análisis Espacio-Temporal , Centros de Atención Terciaria
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