利用新一代测序、终点限制稀释和质谱法评估病毒异质性。

Q2 Medicine
Z Dimitrova, D S Campo, S Ramachandran, G Vaughan, L Ganova-Raeva, Y Lin, J C Forbi, G Xia, P Skums, B Pearlman, Y Khudyakov
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引用次数: 17

摘要

丙型肝炎病毒序列研究主要集中在含有高变区1 (HVR1)的病毒扩增子上,以获得一些序列样本,从中可以计算出一些群体遗传学参数。测序方法的最新进展允许分析来自感染患者的空前数量的病毒变体,并为了解病毒进化,耐药性和免疫逃逸提供了新的机会。在本文中,我们比较了三种最新的扩增子分析技术:(i)下一代测序;(ii)克隆测序,使用终点限制稀释法分离单个序列变异,然后进行实时荧光定量PCR和测序;(iii)目标序列碱基特异性裂解反应的质谱分析。这三种技术用于评估从38例患者(亚基因型1a和1b)获得的HVR1扩增子的宿主内多样性和宿主间遗传相关性。基于序列和基于质谱的数据对宿主内多样性的评估差异很大。然而,所有三种技术对宿主间变异的评估在鉴定病毒株之间的遗传相关性方面同样准确。这些结果支持了这三种技术在分子流行病学和群体遗传学研究中的应用。质谱法由于其高通量、低成本和与基于序列的方法可比较的结果而特别有前途。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Evaluation of viral heterogeneity using next-generation sequencing, end-point limiting-dilution and mass spectrometry.

Hepatitis C Virus sequence studies mainly focus on the viral amplicon containing the Hypervariable region 1 (HVR1) to obtain a sample of sequences from which several population genetics parameters can be calculated. Recent advances in sequencing methods allow for analyzing an unprecedented number of viral variants from infected patients and present a novel opportunity for understanding viral evolution, drug resistance and immune escape. In the present paper, we compared three recent technologies for amplicon analysis: (i) Next-Generation Sequencing; (ii) Clonal sequencing using End-point Limiting-dilution for isolation of individual sequence variants followed by Real-Time PCR and sequencing; and (iii) Mass spectrometry of base-specific cleavage reactions of a target sequence. These three technologies were used to assess intra-host diversity and inter-host genetic relatedness in HVR1 amplicons obtained from 38 patients (subgenotypes 1a and 1b). Assessments of intra-host diversity varied greatly between sequence-based and mass-spectrometry-based data. However, assessments of inter-host variability by all three technologies were equally accurate in identification of genetic relatedness among viral strains. These results support the application of all three technologies for molecular epidemiology and population genetics studies. Mass spectrometry is especially promising given its high throughput, low cost and comparable results with sequence-based methods.

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来源期刊
In Silico Biology
In Silico Biology Computer Science-Computational Theory and Mathematics
CiteScore
2.20
自引率
0.00%
发文量
1
期刊介绍: The considerable "algorithmic complexity" of biological systems requires a huge amount of detailed information for their complete description. Although far from being complete, the overwhelming quantity of small pieces of information gathered for all kind of biological systems at the molecular and cellular level requires computational tools to be adequately stored and interpreted. Interpretation of data means to abstract them as much as allowed to provide a systematic, an integrative view of biology. Most of the presently available scientific journals focus either on accumulating more data from elaborate experimental approaches, or on presenting new algorithms for the interpretation of these data. Both approaches are meritorious.
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