Tipo
Artigos em Revista
Tipo de Documento
Artigo Completo
Título
The Impact of Non-Pathogenic Bacteria on the Spread of Virulence and Resistance Genes
Participantes na publicação
Francisco Dionisio (Author)
FACULDADE DE CIÊNCIAS DA UNIVERSIDADE DE LISBOA
cE3c/FCUL
Dep. Biologia Vegetal
cE3c
Célia P. F. Domingues (Author)
cE3c/FCUL
João S. Rebelo (Author)
cE3c/FCUL
Francisca Monteiro (Author)
FACULDADE DE CIÊNCIAS DA UNIVERSIDADE DE LISBOA
cE3c/FCUL
Teresa Nogueira (Author)
cE3c/FCUL
Centro de Ecologia, Evolução e Alterações Ambientais
Resumo
This review discusses the fate of antimicrobial resistance and virulence genes frequently present among microbiomes. A central concept in epidemiology is the mean number of hosts colonized by one infected host in a population of susceptible hosts: R0. It characterizes the disease’s epidemic potential because the pathogen continues its propagation through susceptible hosts if it is above one. R0 is proportional to the average duration of infections, but non-pathogenic microorganisms do not cause host death, and hosts do not need to be rid of them. Therefore, commensal bacteria may colonize hosts for prolonged periods, including those harboring drug resistance or even a few virulence genes. Thus, their R0 is likely to be (much) greater than one, with peculiar consequences for the spread of virulence and resistance genes. For example, computer models that simulate the spread of these genes have shown that their diversities should correlate positively throughout microbiomes. Bioinformatics analysis with real data corroborates this expectation. Those simulations also anticipate that, contrary to the common wisdom, human’s microbiomes with a higher diversity of both gene types are the ones that took antibiotics longer ago rather than recently. Here, we discuss the mechanisms and robustness behind these predictions and other public health consequences.
Data de Submissão/Pedido
2022-11-30
Data de Aceitação
2023-01-16
Data de Publicação
2023-01-18
Suporte
International Journal of Molecular Sciences
Identificadores da Publicação
ISSN - 1422-0067
Editora
MDPI AG
Identificadores do Documento
DOI -
https://doi.org/10.3390/ijms24031967
URL -
http://dx.doi.org/10.3390/ijms24031967
Identificadores de Qualidade
SCIMAGO Q1 (2021) - 1176 - Computer Science Applications
SCIMAGO Q1 (2021) - 1176 - Inorganic Chemistry
SCIMAGO Q1 (2021) - 1176 - Medicine (miscellaneous)
SCIMAGO Q1 (2021) - 1176 - Organic Chemistry
SCIMAGO Q1 (2021) - 1176 - Physical and Theoretical Chemistry
Keywords
antibiotic resistance
virulence
microbiome
metagenomics
human gut
antibiotic consumption
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