携带抗菌药耐药性基因、质粒和 CRISPR-Cas 系统的鸟疫酵母菌分离物基因组序列草案分析数据

IF 1 Q3 MULTIDISCIPLINARY SCIENCES
Anna Karpenko, Yulia Mikhaylova, Andrey Shelenkov, Aleksey Tutelyan, Vasiliy Akimkin
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引用次数: 0

摘要

环境细菌Raoultella ornithinolytica是一种新出现的病原体,在引起人类感染方面越来越重要。迄今为止,这种细菌的临床分离株并不经常表现出多药耐药性,但一些报告强调了对这种潜在危险病原体进行持续监测的必要性。目前,对任何细菌病原体的流行病学监测和抗菌药耐药性调查通常都依赖于全基因组测序,近年来,全基因组测序的价格越来越低廉,同时提供的数据也越来越重要。然而,鸟疫杆菌的基因组信息在公共数据库中却很少见。据我们所知,我们在此报告了首个全基因组序列和相应的原始数据,它们是来自俄罗斯联邦的一个临床 R. ornithinolytica 分离物,该分离物携带有抗菌素耐药性(AMR)基因、毒力因子、一个质粒和 I-F 型 CRISPR-Cas 系统。所提供的数据将有助于对这一新兴病原体进行流行病学监测和抗菌药耐药性监测。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Data on the analysis of draft genome sequence of Raoultella ornithinolytica isolate carrying antimicrobial resistance genes, plasmid and CRISPR-Cas system
Environmental bacterial species Raoultella ornithinolytica is an emerging pathogen becoming increasingly important in causing human infections. Thus far, the clinical isolates of this species have not exhibited multidrug resistance very often, but some reports underline the necessity for continuous monitoring of this potentially dangerous pathogen. Currently, epidemiological surveillance and antimicrobial resistance investigations of any bacterial pathogen usually rely on whole genome sequencing, which is becoming more affordable while providing increasingly important data in the recent years. However, R. ornithinolytica genomic information is scantily presented in public databases. Here, we report, to the best of our knowledge, the first whole genome sequence and corresponding raw data for a clinical R. ornithinolytica isolate from Russian Federation, which carried antimicrobial resistance (AMR) genes, virulence factors, one plasmid, and CRISPR-Cas system of type I-F. The data provided will facilitate epidemiological surveillance and antimicrobial resistance monitoring of this emerging pathogen.
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来源期刊
Data in Brief
Data in Brief MULTIDISCIPLINARY SCIENCES-
CiteScore
3.10
自引率
0.00%
发文量
996
审稿时长
70 days
期刊介绍: Data in Brief provides a way for researchers to easily share and reuse each other''s datasets by publishing data articles that: -Thoroughly describe your data, facilitating reproducibility. -Make your data, which is often buried in supplementary material, easier to find. -Increase traffic towards associated research articles and data, leading to more citations. -Open up doors for new collaborations. Because you never know what data will be useful to someone else, Data in Brief welcomes submissions that describe data from all research areas.
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