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基于全基因组序列分析的人类呼吸道合胞病毒新型且可扩展的基因分型系统。

Novel and extendable genotyping system for human respiratory syncytial virus based on whole-genome sequence analysis.

机构信息

Center for Ecology of Infectious Diseases, Institute of Bioinformatics, University of Georgia, Athens, GA, USA.

Department of Infectious Disease, University of Georgia, Athens, GA, USA.

出版信息

Influenza Other Respir Viruses. 2022 May;16(3):492-500. doi: 10.1111/irv.12936. Epub 2021 Dec 10.

Abstract

BACKGROUND

Human respiratory syncytial virus (RSV) is one of the leading causes of respiratory infections, especially in infants and young children. Previous RSV sequencing studies have primarily focused on partial sequencing of G gene (200-300 nucleotides) for genotype characterization or diagnostics. However, the genotype assignment with G gene has not recapitulated the phylogenetic signal of other genes, and there is no consensus on RSV genotype definition.

METHODS

We conducted maximum likelihood phylogenetic analysis with 10 RSV individual genes and whole-genome sequence (WGS) that are published in GenBank. RSV genotypes were determined by using phylogenetic analysis and pair-wise node distances.

RESULTS

In this study, we first statistically examined the phylogenetic incongruence, rate variation for each RSV gene sequence and WGS. We then proposed a new RSV genotyping system based on a comparative analysis of WGS and the temporal distribution of strains. We also provide an RSV classification tool to perform RSV genotype assignment and a publicly accessible up-to-date instance of Nextstrain where the phylogenetic relationship of all genotypes can be explored.

CONCLUSIONS

This revised RSV genotyping system will provide important information for disease surveillance, epidemiology, and vaccine development.

摘要

背景

人类呼吸道合胞病毒(RSV)是呼吸道感染的主要原因之一,特别是在婴儿和幼儿中。先前的 RSV 测序研究主要集中在 G 基因(200-300 个核苷酸)的部分测序上,用于基因型特征描述或诊断。然而,G 基因的基因型分配并未再现其他基因的系统发育信号,并且对于 RSV 基因型的定义没有共识。

方法

我们使用已在 GenBank 中发布的 10 个 RSV 个体基因和全基因组序列(WGS)进行最大似然系统发育分析。通过系统发育分析和成对节点距离确定 RSV 基因型。

结果

在这项研究中,我们首先从统计学上检验了系统发育不一致、每个 RSV 基因序列和 WGS 的变异率。然后,我们提出了一种新的 RSV 基因分型系统,该系统基于 WGS 和菌株时间分布的比较分析。我们还提供了一种 RSV 分类工具,用于进行 RSV 基因型分配,并提供了一个可公开访问的最新 Nextstrain 实例,其中可以探索所有基因型的系统发育关系。

结论

这个经过修订的 RSV 基因分型系统将为疾病监测、流行病学和疫苗开发提供重要信息。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c6db/8983899/cf1d0b86fc0e/IRV-16-492-g002.jpg

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