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丙型肝炎病毒宿主内变体的演变

Evolution of within-host variants of the hepatitis C virus.

作者信息

Riaz Nasir, Leung Preston, Bull Rowena A, Lloyd Andrew R, Rodrigo Chaturaka

机构信息

Kirby Institute, UNSW Sydney, 2052, NSW, Australia.

Kirby Institute, UNSW Sydney, 2052, NSW, Australia; School of Medical Sciences, Faculty of Medicine and Health, UNSW Sydney, 2052, NSW, Australia.

出版信息

Infect Genet Evol. 2022 Apr;99:105242. doi: 10.1016/j.meegid.2022.105242. Epub 2022 Feb 9.

Abstract

INTRODUCTION

Comprehensive investigation of the within-host evolution of hepatitis C virus (HCV) variants has been difficult without high coverage deep sequencing data and bioinformatics tools to characterise these variants. With the advent of high throughput, long-read sequencing platforms such as Oxford Nanopore Technology (ONT), capturing within-host evolution of HCV using full genome sequences has become feasible. This study aimed to provide the proof of concept that within-host evolutionary analysis of HCV using near-full-length genomes, is achievable.

METHODS

Five treatment naïve subjects with chronic HCV infection were sampled longitudinally from 6 months to 5 years post-infection, with 3-5 sampling timepoints per subject. Near full-length sequences generated using the ONT platform encompassing within-host HCV variants were analysed using an in-house bioinformatic tool. A 200-sequence proxy alignment of the viral variants was made for each subject and timepoint, proportionately representing the observed within-host variants. This alignment was then used in a Bayesian evolutionary analysis using BEAST software suite (v1.8).

RESULTS

The estimated within-host substitution rates ranged between 0.89 and 6.19 × 10 substitutions/site/day. At most timepoints, observed viral lineages were closely related to those from the immediately preceding timepoint, and genetic diversity bottlenecks were observed at intervals in both the acute and chronic phases of infection. The highest within-host mutation rates were observed in the Envelope-P7 and NS5 regions while the Core region was the most conserved.

CONCLUSION

This study demonstrates the feasibility of studying within-host evolution of near-full-length HCV genomes, using long-read sequencing platforms. When considered in conjunction with meta-data such as the host immune response, these methods may offer high resolution insights into immune escape (in vivo or in vitro) to inform vaccine design and to predict spontaneous clearance.

摘要

引言

在缺乏高覆盖深度测序数据和用于表征丙型肝炎病毒(HCV)变体的生物信息学工具的情况下,全面研究宿主内HCV变体的进化一直很困难。随着诸如牛津纳米孔技术(ONT)等高通量、长读长测序平台的出现,利用全基因组序列捕获HCV的宿主内进化已变得可行。本研究旨在提供概念验证,即使用近全长基因组对HCV进行宿主内进化分析是可行的。

方法

对5名未经治疗的慢性HCV感染受试者在感染后6个月至5年进行纵向采样,每名受试者有3至5个采样时间点。使用ONT平台生成的包含宿主内HCV变体的近全长序列,通过内部生物信息学工具进行分析。为每个受试者和时间点制作了200个序列的病毒变体代理比对,按比例代表观察到的宿主内变体。然后使用BEAST软件套件(v1.8)在贝叶斯进化分析中使用该比对。

结果

估计的宿主内替换率在0.89至6.19×10个替换/位点/天之间。在大多数时间点,观察到的病毒谱系与紧接前一个时间点的谱系密切相关,并且在感染的急性和慢性阶段均间隔观察到遗传多样性瓶颈。在包膜-P7和NS5区域观察到最高的宿主内突变率,而核心区域最保守。

结论

本研究证明了使用长读长测序平台研究近全长HCV基因组宿主内进化的可行性。当与宿主免疫反应等元数据结合考虑时,这些方法可能提供对免疫逃逸(体内或体外)的高分辨率见解,为疫苗设计提供信息并预测自发清除。

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