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对 101 个国家污水的基因组分析揭示了全球抗微生物药物耐药性的状况。

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

机构信息

Research Group for Genomic Epidemiology, Technical University of Denmark, Kgs, Lyngby, Denmark.

Centre for Immunity, Infection and Evolution, University of Edinburgh, Edinburgh, UK.

出版信息

Nat Commun. 2022 Dec 1;13(1):7251. doi: 10.1038/s41467-022-34312-7.

Abstract

Antimicrobial 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.

摘要

抗生素耐药性(AMR)是对全球健康的主要威胁。了解单个抗生素耐药基因(ARGs)的出现、演变和传播对于制定可持续的对抗这一威胁的策略至关重要。在这里,我们使用宏基因组测序来分析 2016 年至 2019 年间从 101 个国家的 243 个城市采集的 757 个污水样本中的 ARGs。我们发现了耐药组的区域模式,这些模式在与药物类别对应的子集之间存在差异,部分是由分类学变异驱动的。49 个常见 ARGs 的遗传环境高度多样化,大多数常见 ARGs 在全球范围内由多个不同的基因组环境携带,有时也在质粒上。侧翼序列分析表明,ARG 具有特定的扩散限制和全球传播模式。我们的数据还表明,某些地理位置更容易发生传播事件,应该受到更多关注。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3a82/9715550/a6d15701e8b5/41467_2022_34312_Fig1_HTML.jpg

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