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对罕见丙型肝炎病毒基因型进行全基因组焦磷酸测序可提高亚型分类,并鉴定自然发生的耐药变异体。

Whole genome pyrosequencing of rare hepatitis C virus genotypes enhances subtype classification and identification of naturally occurring drug resistance variants.

机构信息

Broad Institute of MIT and Harvard, 7 Cambridge Center, Cambridge, MA 02142, USA.

出版信息

J Infect Dis. 2013 Jul;208(1):17-31. doi: 10.1093/infdis/jis679. Epub 2012 Nov 6.

Abstract

BACKGROUND

Infection with hepatitis C virus (HCV) is a burgeoning worldwide public health problem, with 170 million infected individuals and an estimated 20 million deaths in the coming decades. While 6 main genotypes generally distinguish the global geographic diversity of HCV, a multitude of closely related subtypes within these genotypes are poorly defined and may influence clinical outcome and treatment options. Unfortunately, the paucity of genetic data from many of these subtypes makes time-consuming primer walking the limiting step for sequencing understudied subtypes.

METHODS

Here we combined long-range polymerase chain reaction amplification with pyrosequencing for a rapid approach to generate the complete viral coding region of 31 samples representing poorly defined HCV subtypes.

RESULTS

Phylogenetic classification based on full genome sequences validated previously identified HCV subtypes, identified a recombinant sequence, and identified a new distinct subtype of genotype 4. Unlike conventional sequencing methods, use of deep sequencing also facilitated characterization of minor drug resistance variants within these uncommon or, in some cases, previously uncharacterized HCV subtypes.

CONCLUSIONS

These data aid in the classification of uncommon HCV subtypes while also providing a high-resolution view of viral diversity within infected patients, which may be relevant to the development of therapeutic regimens to minimize drug resistance.

摘要

背景

丙型肝炎病毒(HCV)感染是一个迅速发展的全球公共卫生问题,在未来几十年内,预计将有 1.7 亿感染者和 2000 万人死亡。虽然全球 HCV 的地理多样性通常可以区分出 6 种主要基因型,但这些基因型内存在许多密切相关的亚型,定义不明确,可能影响临床结果和治疗选择。不幸的是,由于缺乏许多这些亚型的遗传数据,耗时的引物行走成为研究不充分的亚型测序的限制步骤。

方法

在这里,我们结合长距离聚合酶链反应扩增和焦磷酸测序,快速生成 31 个代表定义不明确 HCV 亚型的样本的完整病毒编码区。

结果

基于全基因组序列的系统发育分类验证了先前鉴定的 HCV 亚型,鉴定了一个重组序列,并鉴定了基因型 4 的一个新的独特亚型。与传统测序方法不同,深度测序的使用还便于在这些罕见或在某些情况下以前未被描述的 HCV 亚型中鉴定出次要耐药变异。

结论

这些数据有助于对不常见的 HCV 亚型进行分类,同时还提供了感染患者内病毒多样性的高分辨率视图,这可能与制定治疗方案以最小化耐药性的发展有关。

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