Genomic analysis of sewage from 101 countries reveals global landscape of antimicrobial resistance

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dc.creatorRenáta Karpí'ková
dc.creatorZozo Nyarukweba Deogratias
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dc.creatorMohamed Abouelnaga
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dc.creatorMohamed Fathy Salem
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dc.creatorMengistu Legesse
dc.creatorTadesse Eguale
dc.creatorAnnamari Heikinheimo
dc.creatorSoizick le Guyader
dc.creatorJulien Schaeffer
dc.creatorJose Eduardo Villacis
dc.creatorChristina Aaby Svendsen
dc.creatorBakary Sanneh
dc.creatorLile Malania
dc.creatorAndreas Nitsche
dc.creatorAnnika Brinkmann
dc.creatorSara Schubert
dc.creatorSina Hesse
dc.creatorThomas U. Berendonk
dc.creatorCourage Kosi Setsoafia Saba
dc.creatorJibril Mohammed
dc.creatorPatrick Kwame Feglo
dc.creatorBram Van Bunnik
dc.creatorRegina Ama Banu
dc.creatorCharalampos Kotzamanidis
dc.creatorEfthymios Lytras
dc.creatorSergio A. Lickes
dc.creatorBela Kocsis
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dc.date.accessioned2023-10-31T21:27:16Z
dc.date.accessioned2025-09-08T23:41:46Z
dc.date.available2023-10-31T21:27:16Z
dc.date.issued2022
dc.description.abstractA resistência antimicrobiana (AMR, na sigla em inglês) é uma grande ameaça à saúde global. Compreender o surgimento, evolução e transmissão de genes individuais de resistência a antibióticos (ARGs) é essencial para desenvolver estratégias sustentáveis ​​de combate a esta ameaça. Aqui, usamos sequenciamento metagenômico para analisar ARGs em 757 amostras de esgoto de 243 cidades em 101 países, coletadas de 2016 a 2019. Encontramos padrões regionais em resistomas, e estes diferem entre subconjuntos correspondentes a classes de drogas e são parcialmente impulsionados pela variação taxonômica. Os ambientes genéticos de 49 ARGs comuns são altamente diversos, com os ARGs mais comuns transportados por múltiplos contextos genômicos distintos globalmente e às vezes em plasmídeos. A análise da sequência flanqueadora revelou padrões específicos de limitação de dispersão e transmissão global do ARG. Além disso, os nossos dados sugerem que certas regiões geográficas são mais propensas a eventos de transmissão e devem receber atenção adicional.
dc.format.mimetypepdf
dc.identifier.doihttps://doi.org/10.1038/s41467-022-34312-7
dc.identifier.issn2041-1723
dc.identifier.urihttps://hdl.handle.net/1843/60385
dc.languageeng
dc.publisherUniversidade Federal de Minas Gerais
dc.relation.ispartofNature communications
dc.rightsAcesso Aberto
dc.subjectResistência microbiana a medicamentos
dc.subjectVigilância epidemiológica baseada em águas residuárias
dc.subjectEsgotos
dc.subjectGenômica
dc.titleGenomic analysis of sewage from 101 countries reveals global landscape of antimicrobial resistance
dc.title.alternativeAnálise genômica do esgoto de 101 países revela cenário global de resistência antimicrobiana
dc.typeArtigo de periódico
local.citation.epage16
local.citation.volume13
local.description.resumoAntimicrobial resistance (AMR) is a major threat to global health. Understanding the emergence, evolution, and transmission of individual antibiotic resistance genes (ARGs) is essential to develop sustainable strategies combatting this threat. Here, we use metagenomic sequencing to analyse ARGs in 757 sewage samples from 243 cities in 101 countries, collected from 2016 to 2019. We find regional patterns in resistomes, and these differ between subsets corresponding to drug classes and are partly driven by taxonomic variation. The genetic environments of 49 common ARGs are highly diverse, with most common ARGs carried by multiple distinct genomic contexts globally and sometimes on plasmids. Analysis of flanking sequence revealed ARG-specific patterns of dispersal limitation and global transmission. Our data furthermore suggest certain geographies are more prone to transmission events and should receive additional attention.
local.identifier.orcidhttps://orcid.org/0000-0001-8813-4019
local.identifier.orcidhttps://orcid.org/0000-0002-8528-8095
local.identifier.orcidhttps://orcid.org/0000-0002-5074-7183
local.identifier.orcidhttps://orcid.org/0000-0002-5204-2312
local.identifier.orcidhttps://orcid.org/0000-0003-3765-8167
local.identifier.orcidhttps://orcid.org/0000-0002-7116-2723
local.identifier.orcidhttps://orcid.org/0000-0003-2177-7073
local.publisher.countryBrasil
local.publisher.departmentFAR - DEPARTAMENTO DE ANÁLISES CLÍNICAS E TOXICOLÓGICAS
local.publisher.initialsUFMG
local.url.externahttps://www.nature.com/articles/s41467-022-34312-7

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