Deep sequencing is an appropriate tool for the selection of unique Hepatitis C virus (HCV) variants after single genomic amplification

© 2017 Guinoiseau et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Hepatitis C virus (HCV) evolves rapidly...

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Main Authors: Guinoiseau T., Moreau A., Hohnadel G., Ngo-Giang-Huong N., Brulard C., Vourc'H P., Goudeau A., Gaudy-Graffin C.
Format: Journal
Published: 2017
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spelling th-cmuir.6653943832-407082017-09-28T04:11:01Z Deep sequencing is an appropriate tool for the selection of unique Hepatitis C virus (HCV) variants after single genomic amplification Guinoiseau T. Moreau A. Hohnadel G. Ngo-Giang-Huong N. Brulard C. Vourc'H P. Goudeau A. Gaudy-Graffin C. © 2017 Guinoiseau et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Hepatitis C virus (HCV) evolves rapidly in a single host and circulates as a quasispecies wich is a complex mixture of genetically distinct virus's but closely related namely variants. To identify intra-individual diversity and investigate their functional properties in vitro, it is necessary to define their quasispecies composition and isolate the HCV variants. This is possible using single genome amplification (SGA). This technique, based on serially diluted cDNA to amplify a single cDNA molecule (clonal amplicon), has already been used to determine individual HCV diversity. In these studies, positive PCR reactions from SGA were directly sequenced using Sanger technology. The detection of non-clonal amplicons is necessary for excluding them to facilitate further functional analysis. Here, we compared Next Generation Sequencing (NGS) with De Novo assembly and Sanger sequencing for their ability to distinguish clonal and non-clonal amplicons after SGA on one plasma specimen. All amplicons (n = 42) classified as clonal by NGS were also classified as clonal by Sanger sequencing. No double peaks were seen on electropherograms for non-clonal amplicons with position-specific nucleotide variation below 15% by NGS. Altogether, NGS circumvented many of the difficulties encountered when using Sanger sequencing after SGA and is an appropriate tool to reliability select clonal amplicons for further functional studies. 2017-09-28T04:11:01Z 2017-09-28T04:11:01Z 3 Journal 2-s2.0-85016591258 10.1371/journal.pone.0174852 https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85016591258&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/40708
institution Chiang Mai University
building Chiang Mai University Library
country Thailand
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description © 2017 Guinoiseau et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Hepatitis C virus (HCV) evolves rapidly in a single host and circulates as a quasispecies wich is a complex mixture of genetically distinct virus's but closely related namely variants. To identify intra-individual diversity and investigate their functional properties in vitro, it is necessary to define their quasispecies composition and isolate the HCV variants. This is possible using single genome amplification (SGA). This technique, based on serially diluted cDNA to amplify a single cDNA molecule (clonal amplicon), has already been used to determine individual HCV diversity. In these studies, positive PCR reactions from SGA were directly sequenced using Sanger technology. The detection of non-clonal amplicons is necessary for excluding them to facilitate further functional analysis. Here, we compared Next Generation Sequencing (NGS) with De Novo assembly and Sanger sequencing for their ability to distinguish clonal and non-clonal amplicons after SGA on one plasma specimen. All amplicons (n = 42) classified as clonal by NGS were also classified as clonal by Sanger sequencing. No double peaks were seen on electropherograms for non-clonal amplicons with position-specific nucleotide variation below 15% by NGS. Altogether, NGS circumvented many of the difficulties encountered when using Sanger sequencing after SGA and is an appropriate tool to reliability select clonal amplicons for further functional studies.
format Journal
author Guinoiseau T.
Moreau A.
Hohnadel G.
Ngo-Giang-Huong N.
Brulard C.
Vourc'H P.
Goudeau A.
Gaudy-Graffin C.
spellingShingle Guinoiseau T.
Moreau A.
Hohnadel G.
Ngo-Giang-Huong N.
Brulard C.
Vourc'H P.
Goudeau A.
Gaudy-Graffin C.
Deep sequencing is an appropriate tool for the selection of unique Hepatitis C virus (HCV) variants after single genomic amplification
author_facet Guinoiseau T.
Moreau A.
Hohnadel G.
Ngo-Giang-Huong N.
Brulard C.
Vourc'H P.
Goudeau A.
Gaudy-Graffin C.
author_sort Guinoiseau T.
title Deep sequencing is an appropriate tool for the selection of unique Hepatitis C virus (HCV) variants after single genomic amplification
title_short Deep sequencing is an appropriate tool for the selection of unique Hepatitis C virus (HCV) variants after single genomic amplification
title_full Deep sequencing is an appropriate tool for the selection of unique Hepatitis C virus (HCV) variants after single genomic amplification
title_fullStr Deep sequencing is an appropriate tool for the selection of unique Hepatitis C virus (HCV) variants after single genomic amplification
title_full_unstemmed Deep sequencing is an appropriate tool for the selection of unique Hepatitis C virus (HCV) variants after single genomic amplification
title_sort deep sequencing is an appropriate tool for the selection of unique hepatitis c virus (hcv) variants after single genomic amplification
publishDate 2017
url https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85016591258&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/40708
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