2013
DOI: 10.1371/journal.pone.0070318
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Inter- and Intra-Host Viral Diversity in a Large Seasonal DENV2 Outbreak

Abstract: BackgroundHigh genetic diversity at both inter- and intra-host level are hallmarks of RNA viruses due to the error-prone nature of their genome replication. Several groups have evaluated the extent of viral variability using different RNA virus deep sequencing methods. Although much of this effort has been dedicated to pathogens that cause chronic infections in humans, few studies investigated arthropod-borne, acute viral infections.Methods and Principal FindingsWe deep sequenced the complete genome of ten DEN… Show more

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Cited by 40 publications
(35 citation statements)
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“…Read abundance of OTUs can be considered semi-quantitative and good for comparisons of richness and diversity among samples (but not for absolute counts of genes) (Amend et al, 2010 ; Pinto and Raskin, 2012 ; Ibarbalz et al, 2014 ). Moreover, by using control sequences obtained by cloning and Sanger sequencing alongside pyrosequenced libraries containing the same sequence (Supplemental Methods, Figure S2 ) we verified that amplicon deep sequencing and our sequence processing methodology recovered accurate environmental viral sequences and non-inflated estimates of richness like in studies for bacterial amplicons (Sogin et al, 2006 ; Huse et al, 2008 ; Kirchman et al, 2010 ; Caporaso et al, 2011 ) and clinical viral studies (Romano et al, 2013 ; Watson et al, 2013 ).…”
Section: Discussionmentioning
confidence: 54%
“…Read abundance of OTUs can be considered semi-quantitative and good for comparisons of richness and diversity among samples (but not for absolute counts of genes) (Amend et al, 2010 ; Pinto and Raskin, 2012 ; Ibarbalz et al, 2014 ). Moreover, by using control sequences obtained by cloning and Sanger sequencing alongside pyrosequenced libraries containing the same sequence (Supplemental Methods, Figure S2 ) we verified that amplicon deep sequencing and our sequence processing methodology recovered accurate environmental viral sequences and non-inflated estimates of richness like in studies for bacterial amplicons (Sogin et al, 2006 ; Huse et al, 2008 ; Kirchman et al, 2010 ; Caporaso et al, 2011 ) and clinical viral studies (Romano et al, 2013 ; Watson et al, 2013 ).…”
Section: Discussionmentioning
confidence: 54%
“…We processed the data with simple thresholding and repeated our ANOVA analyses. If we remove minor allele frequencies using a threshold of ≤ 1 %, which is commonly done [ 24 ], we lose most of the minor alleles in our data and practically all significant effects in ANOVA . If we use a threshold of ≤ 0.05 %, the reported 454-platform substitution error rate [ 38 ], we retain more alleles and some significant effects, but still lose power to detect interactions at gene and genome scales.…”
Section: Resultsmentioning
confidence: 99%
“…The development of algorithms to differentiate between errors and actual genetic variants and/or to perform error correction in NGS data is an active area of research. These algorithms commonly utilize error thresholds [ 24 ] or Poisson/Binomial error distributions [ 18 , 19 , 25 , 26 ] which can be site-specific. Thresholds or error distribution parameters are fixed in a variety of ways; e.g.…”
Section: Introductionmentioning
confidence: 99%
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“…The virus was PCR amplified using a previously described protocol ( 2 ) with three subsets of primers that covered the complete polyprotein. Fragments were sequenced using the Ion Torrent platform (Life Technologies).…”
Section: Genome Announcementmentioning
confidence: 99%