Suppr超能文献

当嵌入自然微生物群落中时,对抗菌药物耐药性的选择会减少。

Selection for antimicrobial resistance is reduced when embedded in a natural microbial community.

机构信息

CLES & ESI, University of Exeter, Penryn, Cornwall, UK.

European Centre for Environment and Human Health, University of Exeter Medical School, ESI, Penryn, Cornwall, UK.

出版信息

ISME J. 2019 Dec;13(12):2927-2937. doi: 10.1038/s41396-019-0483-z. Epub 2019 Aug 5.

Abstract

Antibiotic resistance has emerged as one of the most pressing, global threats to public health. In single-species experiments selection for antibiotic resistance occurs at very low antibiotic concentrations. However, it is unclear how far these findings can be extrapolated to natural environments, where species are embedded within complex communities. We competed isogenic strains of Escherichia coli, differing exclusively in a single chromosomal resistance determinant, in the presence and absence of a pig faecal microbial community across a gradient of antibiotic concentration for two relevant antibiotics: gentamicin and kanamycin. We show that the minimal selective concentration was increased by more than one order of magnitude for both antibiotics when embedded in the community. We identified two general mechanisms were responsible for the increase in minimal selective concentration: an increase in the cost of resistance and a protective effect of the community for the susceptible phenotype. These findings have implications for our understanding of the evolution and selection of antibiotic resistance, and can inform future risk assessment efforts on antibiotic concentrations.

摘要

抗生素耐药性已经成为对全球公众健康最紧迫的威胁之一。在单一物种实验中,抗生素耐药性的选择发生在非常低的抗生素浓度下。然而,目前尚不清楚这些发现可以在多大程度上外推到自然环境中,在自然环境中,物种嵌入在复杂的群落中。我们在存在和不存在猪粪便微生物群落的情况下,在两种相关抗生素:庆大霉素和卡那霉素的抗生素浓度梯度上,对具有单一染色体耐药决定因素的同种大肠杆菌进行了竞争实验。我们表明,当嵌入群落中时,两种抗生素的最小选择浓度都增加了一个数量级以上。我们确定了两种一般机制负责增加最小选择浓度:耐药成本的增加和群落对敏感表型的保护作用。这些发现对我们理解抗生素耐药性的进化和选择具有重要意义,并为未来抗生素浓度的风险评估工作提供了信息。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/54d3/6864104/9343f083d02f/41396_2019_483_Fig1_HTML.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验