Interconnected microbiomes and resistomes in low-income human habitats

Dantas, Gautam; Calderón Sánchez, Maritza Mercedes; Pehrsson, Erica C.; Gilman, Robert Hugh; Sosa-Soto, Giordano; Berg, Douglas E.; Hoyos-Arango, William; Tsukayama Cisneros, Pablo; Bertoli, M. Teresita; Patel, Sanket; Cabrera, Lilia; Navarrete, Karla M.; Mejia-Bautista, Melissa

dc.contributor.author	Pehrsson, Erica C.
dc.contributor.author	Tsukayama Cisneros, Pablo
dc.contributor.author	Patel, Sanket
dc.contributor.author	Mejia-Bautista, Melissa
dc.contributor.author	Sosa-Soto, Giordano
dc.contributor.author	Navarrete, Karla M.
dc.contributor.author	Calderón Sánchez, Maritza Mercedes
dc.contributor.author	Cabrera, Lilia
dc.contributor.author	Hoyos-Arango, William
dc.contributor.author	Bertoli, M. Teresita
dc.contributor.author	Berg, Douglas E.
dc.contributor.author	Gilman, Robert Hugh
dc.contributor.author	Dantas, Gautam
dc.date.accessioned	2019-02-06T14:45:57Z
dc.date.available	2019-02-06T14:45:57Z
dc.date.issued	2016
dc.identifier.uri	https://hdl.handle.net/20.500.12866/5141
dc.description.abstract	Antibiotic-resistant infections annually claim hundreds of thousands of lives worldwide. This problem is exacerbated by exchange of resistance genes between pathogens and benign microbes from diverse habitats. Mapping resistance gene dissemination between humans and their environment is a public health priority. Here we characterized the bacterial community structure and resistance exchange networks of hundreds of interconnected human faecal and environmental samples from two low-income Latin American communities. We found that resistomes across habitats are generally structured by bacterial phylogeny along ecological gradients, but identified key resistance genes that cross habitat boundaries and determined their association with mobile genetic elements. We also assessed the effectiveness of widely used excreta management strategies in reducing faecal bacteria and resistance genes in these settings representative of low- and middle-income countries. Our results lay the foundation for quantitative risk assessment and surveillance of resistance gene dissemination across interconnected habitats in settings representing over two-thirds of the world's population.	en_US
dc.language.iso	eng
dc.publisher	Springer Nature
dc.relation.ispartofseries	Nature
dc.rights	info:eu-repo/semantics/restrictedAccess
dc.rights.uri	https://creativecommons.org/licenses/by-nc-nd/4.0/deed.es
dc.subject	Ecosystem	en_US
dc.subject	Gene Transfer, Horizontal	en_US
dc.subject	Agriculture	en_US
dc.subject	Bacteria/classification/genetics	en_US
dc.subject	Developing Countries/economics	en_US
dc.subject	Drug Resistance, Microbial/genetics	en_US
dc.subject	El Salvador	en_US
dc.subject	Environmental Monitoring	en_US
dc.subject	Feces/microbiology	en_US
dc.subject	Humans	en_US
dc.subject	Metagenomics	en_US
dc.subject	Microbiota/genetics	en_US
dc.subject	Molecular Epidemiology	en_US
dc.subject	Peru	en_US
dc.subject	Phylogeny	en_US
dc.subject	Residence Characteristics	en_US
dc.subject	Risk Assessment	en_US
dc.subject	Sewage/microbiology	en_US
dc.subject	Socioeconomic Factors	en_US
dc.title	Interconnected microbiomes and resistomes in low-income human habitats	en_US
dc.type	info:eu-repo/semantics/article
dc.identifier.doi	https://doi.org/10.1038/nature17672
dc.subject.ocde	https://purl.org/pe-repo/ocde/ford#1.06.01
dc.relation.issn	1476-4687