Suppr超能文献

公开可得的具有足够质量和元数据的基因组的抗微生物药物耐药性概况概述。

An Overview of Antimicrobial Resistance Profiles of Publicly Available Genomes with Sufficient Quality and Metadata.

机构信息

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

出版信息

Foodborne Pathog Dis. 2023 Sep;20(9):405-413. doi: 10.1089/fpd.2022.0080. Epub 2023 Aug 4.

Abstract

(. ) is a commensal organism or pathogen causing diseases in animals and humans, as well as widespread in the environment. Antimicrobial resistance (AMR) has increasingly affected both animal and human health and continues to raise public health concerns. A decade ago, it was estimated that the increased use of whole genome sequencing (WGS) combined with sharing of public data would drastically change and improve the surveillance and understanding of epidemiology and AMR. This study aimed to evaluate the current usefulness of public WGS data for surveillance and to investigate the associations between serovars, antibiotic resistance genes (ARGs), and metadata. Out of 191,306 genomes deposited in European Nucleotide Archive and NCBI databases, 47,452 WGS with sufficient minimum metadata (country, year, and source) of were retrieved from 116 countries and isolated between 1905 and 2020. For analysis of the WGS data, KmerFinder, SISTR, and ResFinder were used for species, serovars, and AMR identification, respectively. The results showed that the five common isolation sources of are human (29.10%), avian (22.50%), environment (11.89%), water (9.33%), and swine (6.62%). The most common ARG profiles for each class of antimicrobials are β-lactam (; 6.78%), fluoroquinolone [([T57S], ); 0.87%], folate pathway antagonist (; 8.35%), macrolide [(A); 0.39%], phenicol (; 5.94%), polymyxin B (; 0.09%), and tetracycline [(A); 12.95%]. Our study reports the first overview of ARG profiles in publicly available genomes from online databases. All data sets from this study can be searched at Microreact.

摘要

( )是一种共生生物或病原体,可导致动物和人类患病,并且广泛存在于环境中。抗生素耐药性(AMR)越来越影响动物和人类的健康,并继续引起公众对健康的关注。十年前,据估计,全基因组测序(WGS)的广泛应用与公共数据的共享将极大地改变和提高对流行病学和 AMR 的监测和理解。本研究旨在评估公共 WGS 数据在监测中的当前用途,并调查血清型、抗生素耐药基因(ARGs)和元数据之间的关联。在欧洲核苷酸档案库和 NCBI 数据库中存储的 191306 个基因组中,从 116 个国家中检索到了 47452 个具有足够最低元数据(国家、年份和来源)的 WGS,这些数据是在 1905 年至 2020 年之间分离出来的。为了分析 WGS 数据,分别使用 KmerFinder、SISTR 和 ResFinder 进行物种、血清型和 AMR 鉴定。结果表明, 五种常见的分离来源是人类(29.10%)、禽类(22.50%)、环境(11.89%)、水(9.33%)和猪(6.62%)。每类抗生素的最常见 ARG 谱是β-内酰胺(;6.78%)、氟喹诺酮[(T57S);0.87%]、叶酸途径拮抗剂(;8.35%)、大环内酯类[(A);0.39%]、氯霉素(;5.94%)、多粘菌素 B(;0.09%)和四环素[(A);12.95%]。本研究报告了在线数据库中公开可用的 基因组中 ARG 谱的首次概述。本研究的所有数据集均可在 Microreact 中搜索。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ccdd/10510693/1c900125859d/fpd.2022.0080_figure1.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