Viral quasispecies inference from 454 pyrosequencing

Background: Many potentially life-threatening infectious viruses are highly mutable in nature. Characterizing the fittest variants within a quasispecies from infected patients is expected to allow unprecedented opportunities to investigate the relationship between quasispecies diversity and disease...

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Main Authors: Wan Ting Poh, Eryu Xia, Kwanrutai Chin-inmanu, Lai Ping Wong, Anthony Y. Cheng, Prida Malasit, Prapat Suriyaphol, Yik Ying Teo, Rick Twee Hee Ong
Other Authors: National University of Singapore
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Published: 2018
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Online Access:https://repository.li.mahidol.ac.th/handle/123456789/31143
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spelling th-mahidol.311432018-10-19T12:09:06Z Viral quasispecies inference from 454 pyrosequencing Wan Ting Poh Eryu Xia Kwanrutai Chin-inmanu Lai Ping Wong Anthony Y. Cheng Prida Malasit Prapat Suriyaphol Yik Ying Teo Rick Twee Hee Ong National University of Singapore Mahidol University Thailand National Center for Genetic Engineering and Biotechnology Genome Institute of Singapore Biochemistry, Genetics and Molecular Biology Computer Science Mathematics Background: Many potentially life-threatening infectious viruses are highly mutable in nature. Characterizing the fittest variants within a quasispecies from infected patients is expected to allow unprecedented opportunities to investigate the relationship between quasispecies diversity and disease epidemiology. The advent of next-generation sequencing technologies has allowed the study of virus diversity with high-throughput sequencing, although these methods come with higher rates of errors which can artificially increase diversity.Results: Here we introduce a novel computational approach that incorporates base quality scores from next-generation sequencers for reconstructing viral genome sequences that simultaneously infers the number of variants within a quasispecies that are present. Comparisons on simulated and clinical data on dengue virus suggest that the novel approach provides a more accurate inference of the underlying number of variants within the quasispecies, which is vital for clinical efforts in mapping the within-host viral diversity. Sequence alignments generated by our approach are also found to exhibit lower rates of error.Conclusions: The ability to infer the viral quasispecies colony that is present within a human host provides the potential for a more accurate classification of the viral phenotype. Understanding the genomics of viruses will be relevant not just to studying how to control or even eradicate these viral infectious diseases, but also in learning about the innate protection in the human host against the viruses. © 2013 Poh et al.; licensee BioMed Central Ltd. 2018-10-19T04:33:41Z 2018-10-19T04:33:41Z 2013-12-05 Article BMC Bioinformatics. Vol.14, No.1 (2013) 10.1186/1471-2105-14-355 14712105 2-s2.0-84888988927 https://repository.li.mahidol.ac.th/handle/123456789/31143 Mahidol University SCOPUS https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84888988927&origin=inward
institution Mahidol University
building Mahidol University Library
continent Asia
country Thailand
Thailand
content_provider Mahidol University Library
collection Mahidol University Institutional Repository
topic Biochemistry, Genetics and Molecular Biology
Computer Science
Mathematics
spellingShingle Biochemistry, Genetics and Molecular Biology
Computer Science
Mathematics
Wan Ting Poh
Eryu Xia
Kwanrutai Chin-inmanu
Lai Ping Wong
Anthony Y. Cheng
Prida Malasit
Prapat Suriyaphol
Yik Ying Teo
Rick Twee Hee Ong
Viral quasispecies inference from 454 pyrosequencing
description Background: Many potentially life-threatening infectious viruses are highly mutable in nature. Characterizing the fittest variants within a quasispecies from infected patients is expected to allow unprecedented opportunities to investigate the relationship between quasispecies diversity and disease epidemiology. The advent of next-generation sequencing technologies has allowed the study of virus diversity with high-throughput sequencing, although these methods come with higher rates of errors which can artificially increase diversity.Results: Here we introduce a novel computational approach that incorporates base quality scores from next-generation sequencers for reconstructing viral genome sequences that simultaneously infers the number of variants within a quasispecies that are present. Comparisons on simulated and clinical data on dengue virus suggest that the novel approach provides a more accurate inference of the underlying number of variants within the quasispecies, which is vital for clinical efforts in mapping the within-host viral diversity. Sequence alignments generated by our approach are also found to exhibit lower rates of error.Conclusions: The ability to infer the viral quasispecies colony that is present within a human host provides the potential for a more accurate classification of the viral phenotype. Understanding the genomics of viruses will be relevant not just to studying how to control or even eradicate these viral infectious diseases, but also in learning about the innate protection in the human host against the viruses. © 2013 Poh et al.; licensee BioMed Central Ltd.
author2 National University of Singapore
author_facet National University of Singapore
Wan Ting Poh
Eryu Xia
Kwanrutai Chin-inmanu
Lai Ping Wong
Anthony Y. Cheng
Prida Malasit
Prapat Suriyaphol
Yik Ying Teo
Rick Twee Hee Ong
format Article
author Wan Ting Poh
Eryu Xia
Kwanrutai Chin-inmanu
Lai Ping Wong
Anthony Y. Cheng
Prida Malasit
Prapat Suriyaphol
Yik Ying Teo
Rick Twee Hee Ong
author_sort Wan Ting Poh
title Viral quasispecies inference from 454 pyrosequencing
title_short Viral quasispecies inference from 454 pyrosequencing
title_full Viral quasispecies inference from 454 pyrosequencing
title_fullStr Viral quasispecies inference from 454 pyrosequencing
title_full_unstemmed Viral quasispecies inference from 454 pyrosequencing
title_sort viral quasispecies inference from 454 pyrosequencing
publishDate 2018
url https://repository.li.mahidol.ac.th/handle/123456789/31143
_version_ 1763490011264581632