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一种用于肠病毒和诺如病毒的自动化基因分型工具。

An automated genotyping tool for enteroviruses and noroviruses.

机构信息

Laboratory of infectious diseases, National Institute for Public Health and the Environment, Antonie van Leeuwenhoeklaan 9, 3720BA Bilthoven, The Netherlands.

出版信息

J Clin Virol. 2011 Jun;51(2):121-5. doi: 10.1016/j.jcv.2011.03.006. Epub 2011 Apr 21.

Abstract

BACKGROUND

Molecular techniques are established as routine in virological laboratories and virus typing through (partial) sequence analysis is increasingly common. Quality assurance for the use of typing data requires harmonization of genotype nomenclature, and agreement on target genes, depending on the level of resolution required, and robustness of methods.

OBJECTIVE

To develop and validate web-based open-access typing-tools for enteroviruses and noroviruses.

STUDY DESIGN

An automated web-based typing algorithm was developed, starting with BLAST analysis of the query sequence against a reference set of sequences from viruses in the family Picornaviridae or Caliciviridae. The second step is phylogenetic analysis of the query sequence and a sub-set of the reference sequences, to assign the enterovirus type or norovirus genotype and/or variant, with profile alignment, construction of phylogenetic trees and bootstrap validation. Typing is performed on VP1 sequences of Human enterovirus A to D, and ORF1 and ORF2 sequences of genogroup I and II noroviruses. For validation, we used the tools to automatically type sequences in the RIVM and CDC enterovirus databases and the FBVE norovirus database.

RESULTS

Using the typing-tools, 785(99%) of 795 Enterovirus VP1 sequences, and 8154(98.5%) of 8342 norovirus sequences were typed in accordance with previously used methods. Subtyping into variants was achieved for 4439(78.4%) of 5838 NoV GII.4 sequences.

DISCUSSION AND CONCLUSIONS

The online typing-tools reliably assign genotypes for enteroviruses and noroviruses. The use of phylogenetic methods makes these tools robust to ongoing evolution. This should facilitate standardized genotyping and nomenclature in clinical and public health laboratories, thus supporting inter-laboratory comparisons.

摘要

背景

分子技术已成为病毒学实验室的常规方法,通过(部分)序列分析进行病毒分型也越来越普遍。为了保证使用分型数据的质量,需要对基因型命名法进行协调,并根据所需的分辨率水平以及方法的稳健性,就目标基因达成一致意见。

目的

开发和验证基于网络的肠病毒和诺如病毒开放获取分型工具。

研究设计

我们开发了一种自动化的基于网络的分型算法,从查询序列与小核糖核酸病毒科或杯状病毒科病毒的参考序列集的 BLAST 分析开始。第二步是对查询序列和参考序列子集进行系统发育分析,以分配肠病毒型或诺如病毒基因型和/或变体,并进行特征分析、构建系统发育树和自举验证。对人肠道病毒 A 至 D 的 VP1 序列以及 I 组和 II 组诺如病毒的 ORF1 和 ORF2 序列进行分型。为了验证,我们使用这些工具自动对 RIVM 和 CDC 肠病毒数据库以及 FBVE 诺如病毒数据库中的序列进行分型。

结果

使用这些分型工具,795 个(99%)肠道病毒 VP1 序列和 8342 个(98.5%)诺如病毒序列与之前使用的方法一致地被分型。对 4439 个(78.4%)GII.4 诺如病毒序列进行了亚型分析。

讨论与结论

在线分型工具可靠地分配肠病毒和诺如病毒的基因型。系统发育方法的使用使这些工具对持续进化具有稳健性。这应该有助于临床和公共卫生实验室的标准化基因分型和命名法,从而支持实验室之间的比较。

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