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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...
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Published in: | In silico biology 2012, Vol.11 (5-6), p.183-192 |
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Main Authors: | , , , , , , , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Online Access: | Get full text |
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Summary: | 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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ISSN: | 1386-6338 1434-3207 |
DOI: | 10.3233/ISB-2012-0453 |