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VirulenceFinder 和 :一个增强的数据库,用于使用全基因组测序数据检测推定的毒力标记。

VirulenceFinder for and : an enhanced database for detection of putative virulence markers by using whole-genome sequencing data.

机构信息

Department of Bacteria, Parasites and Fungi, Statens Serum Institut, Copenhagen, Denmark.

Group for Biomedical Research in Sepsis (BioSepsis), Instituto de Investigación Biomédica de Salamanca, Salamanca, Spain.

出版信息

Microbiol Spectr. 2024 Mar 5;12(3):e0372423. doi: 10.1128/spectrum.03724-23. Epub 2024 Feb 8.

DOI:10.1128/spectrum.03724-23
PMID:38329344
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10913372/
Abstract

() is a leading cause of hospital-associated (HA) infections, often enriched in putative virulence markers (PVMs). Recently, the clade B was assigned as (), which usually lack HA- infection markers. Available databases for extracting PVM are incomplete and/or present an intermix of genes from and , with distinct virulence profiles. In this study, we constructed a new database containing 27 PVMs [ (pili gene cluster 1, PGC-1), (PGC-2), (PGC-3), (PGC-4), and ] from nine reference genomes (seven + two ). The database was validated against these reference genomes and further evaluated using a collection of well-characterized ( = 43) and ( = 7) control strains, by assessing PVM presence/absence and its variants together with a genomic phylogeny constructed as single-nucleotide polymorphisms. We found a high concordance between the phylogeny and findings of the PVM, with clustering separately and mostly carrying specific PVM gene variants. Based on our validation results, we recommend using the database with raw reads instead of assemblies to avoid missing gene variants. This newly constructed database of 27 PVMs will enable a more comprehensive characterization of and based on WGS data. The developed database exhibits scalability and boasts a range of applications in public health, including diagnostics, outbreak investigations, and epidemiological studies. It can be further used in risk assessment for distinguishing between safe and unsafe enterococci.IMPORTANCEThe newly constructed database, consisting of 27 putative virulence markers, is highly scalable and serves as a valuable resource for the comprehensive characterization of these closely related species using WGS data. It holds significant potential for various public health applications, including hospital outbreak investigations, surveillance, and risk assessment for probiotics and feed additives.

摘要

()是医院获得性(HA)感染的主要原因,通常富含假定的毒力标志物(PVM)。最近,B 分支被指定为(),其通常缺乏 HA-感染标志物。用于提取 PVM 的可用数据库不完整和/或包含来自和的基因混合物,具有不同的毒力特征。在这项研究中,我们构建了一个新的数据库,其中包含来自九个参考基因组(七个+两个)的 27 个 PVM [(菌毛基因簇 1,PGC-1)、(PGC-2)、(PGC-3)、(PGC-4)和]。该数据库针对这些参考基因组进行了验证,并进一步使用经过充分表征的 (=43)和 (=7)对照菌株进行了评估,方法是评估 PVM 的存在/缺失及其变体以及作为单核苷酸多态性构建的基因组系统发育。我们发现系统发育和 PVM 的发现之间具有高度一致性,具有聚类分离,并且主要携带特定的 PVM 基因变体。基于我们的验证结果,我们建议使用带有原始读取而不是组装的数据库来避免缺失基因变体。这个新构建的包含 27 个 PVM 的数据库将使我们能够基于 WGS 数据更全面地表征和。开发的数据库具有可扩展性,并在公共卫生领域具有广泛的应用,包括诊断、暴发调查和流行病学研究。它还可以进一步用于风险评估,以区分安全和不安全的肠球菌。

重要性新构建的数据库包含 27 个假定的毒力标志物,具有高度的可扩展性,是使用 WGS 数据对这些密切相关的物种进行全面表征的宝贵资源。它在各种公共卫生应用中具有重要的潜力,包括医院暴发调查、监测以及益生菌和饲料添加剂的风险评估。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a5ab/10913372/8b322cd761eb/spectrum.03724-23.f001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a5ab/10913372/8b322cd761eb/spectrum.03724-23.f001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a5ab/10913372/8b322cd761eb/spectrum.03724-23.f001.jpg

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