RESUMO
The discovery of antibiotics more than 80 years ago has led to considerable improvements in human and animal health. Although antibiotic resistance in environmental bacteria is ancient, resistance in human pathogens is thought to be a modern phenomenon that is driven by the clinical use of antibiotics1. Here we show that particular lineages of methicillin-resistant Staphylococcus aureus-a notorious human pathogen-appeared in European hedgehogs in the pre-antibiotic era. Subsequently, these lineages spread within the local hedgehog populations and between hedgehogs and secondary hosts, including livestock and humans. We also demonstrate that the hedgehog dermatophyte Trichophyton erinacei produces two ß-lactam antibiotics that provide a natural selective environment in which methicillin-resistant S. aureus isolates have an advantage over susceptible isolates. Together, these results suggest that methicillin resistance emerged in the pre-antibiotic era as a co-evolutionary adaptation of S. aureus to the colonization of dermatophyte-infected hedgehogs. The evolution of clinically relevant antibiotic-resistance genes in wild animals and the connectivity of natural, agricultural and human ecosystems demonstrate that the use of a One Health approach is critical for our understanding and management of antibiotic resistance, which is one of the biggest threats to global health, food security and development.
Assuntos
Antibacterianos/história , Arthrodermataceae/metabolismo , Ouriços/metabolismo , Ouriços/microbiologia , Resistência a Meticilina/genética , Staphylococcus aureus Resistente à Meticilina/genética , Seleção Genética/genética , Animais , Antibacterianos/metabolismo , Arthrodermataceae/genética , Dinamarca , Europa (Continente) , Evolução Molecular , Mapeamento Geográfico , História do Século XX , Humanos , Staphylococcus aureus Resistente à Meticilina/metabolismo , Nova Zelândia , Saúde Única , Penicilinas/biossíntese , Filogenia , beta-Lactamas/metabolismoRESUMO
The increasing number of reports of livestock-associated meticillin-resistant Staphylococcus aureus (LA-MRSA) world-wide attests to the public health concern surrounding this pathogen in animal husbandry and in-contact humans. In Europe, LA-MRSA CC398 is predominant and generally regarded as being of low virulence for animals. Herein we report the recovery of a lineage of LA-MRSA, belonging to CC30, from three pigs in Northern Ireland and which encodes a marker of virulence (lukM and lukF-P83) restricted to animal-associated clones of S. aureus.
Assuntos
Proteínas de Bactérias/metabolismo , Staphylococcus aureus Resistente à Meticilina/metabolismo , Infecções Estafilocócicas/veterinária , Doenças dos Suínos/microbiologia , Animais , Proteínas de Bactérias/genética , Regulação Bacteriana da Expressão Gênica , Staphylococcus aureus Resistente à Meticilina/genética , Irlanda do Norte/epidemiologia , Filogenia , Infecções Estafilocócicas/epidemiologia , Infecções Estafilocócicas/microbiologia , Suínos , Doenças dos Suínos/epidemiologiaRESUMO
The emergence of antimicrobial-resistant microorganisms in both humans and food animals is a growing concern. Debate has centred on links between antimicrobial use in the production of food animals and the emergence of resistant organisms in the human population. Consequently, microbial risk assessment (MRA) is being used to facilitate scientific investigations of the risks related to the food chain, including quantification of uncertainty and prioritization of control strategies. MRA is a scientific tool that can be used to evaluate the level of exposure and the subsequent risk to human health relating to a specific organism or particular type of resistance. This paper reviews the recent applications of MRA in the area of antimicrobial resistance, and in particular, it focuses on the methods, assumptions and data limitations. Since MRA outputs are dependent on the quality of data inputs used in their development, we aim to promote the generation of good quality data by describing the properties that data should ideally possess for MRA and by highlighting the benefit of data generation specifically for inclusion in MRAs.