Literature DB >> 25748056

Primer ID Informs Next-Generation Sequencing Platforms and Reveals Preexisting Drug Resistance Mutations in the HIV-1 Reverse Transcriptase Coding Domain.

Jessica R Keys1, Shuntai Zhou2, Jeffrey A Anderson2, Joseph J Eron2, Lauren A Rackoff2, Cassandra Jabara3, Ronald Swanstrom4.   

Abstract

Sequencing of a bulk polymerase chain reaction (PCR) product to identify drug resistance mutations informs antiretroviral therapy selection but has limited sensitivity for minority variants. Alternatively, deep sequencing is capable of detecting minority variants but is subject to sequencing errors and PCR resampling due to low input templates. We screened for resistance mutations among 184 HIV-1-infected, therapy-naive subjects using the 454 sequencing platform to sequence two amplicons spanning HIV-1 reverse transcriptase codons 34-245. Samples from 19 subjects were also analyzed using the MiSeq sequencing platform for comparison. Errors and PCR resampling were addressed by tagging each HIV-1 RNA template copy (i.e., cDNA) with a unique sequence tag (Primer ID), allowing a consensus sequence to be constructed for each original template from resampled sequences. In control reactions, Primer ID reduced 454 and MiSeq errors from 71 to 2.6 and from 24 to 1.2 errors/10,000 nucleotides, respectively. MiSeq also allowed accurate sequencing of codon 65, an important drug resistance position embedded in a homopolymeric run that is poorly resolved by the 454 platform. Excluding homopolymeric positions, 14% of subjects had evidence of ≥1 resistance mutation among Primer ID consensus sequences, compared to 2.7% by bulk population sequencing. When calls were restricted to mutations that appeared twice among consensus sequence populations, 6% of subjects had detectable resistance mutations. The use of Primer ID revealed 5-15% template utilization on average, limiting the depth of deep sequencing sampling and revealing sampling variation due to low template utilization. Primer ID addresses important limitations of deep sequencing and produces less biased estimates of low-level resistance mutations in the viral population.

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Year:  2015        PMID: 25748056      PMCID: PMC4458739          DOI: 10.1089/AID.2014.0031

Source DB:  PubMed          Journal:  AIDS Res Hum Retroviruses        ISSN: 0889-2229            Impact factor:   2.205


  35 in total

1.  Multiple sequence alignment with the Clustal series of programs.

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Journal:  Nucleic Acids Res       Date:  2003-07-01       Impact factor: 16.971

2.  Accurate sampling and deep sequencing of the HIV-1 protease gene using a Primer ID.

Authors:  Cassandra B Jabara; Corbin D Jones; Jeffrey Roach; Jeffrey A Anderson; Ronald Swanstrom
Journal:  Proc Natl Acad Sci U S A       Date:  2011-11-30       Impact factor: 11.205

3.  Bias and artifacts in multitemplate polymerase chain reactions (PCR).

Authors:  Takahiro Kanagawa
Journal:  J Biosci Bioeng       Date:  2003       Impact factor: 2.894

4.  MEGA5: molecular evolutionary genetics analysis using maximum likelihood, evolutionary distance, and maximum parsimony methods.

Authors:  Koichiro Tamura; Daniel Peterson; Nicholas Peterson; Glen Stecher; Masatoshi Nei; Sudhir Kumar
Journal:  Mol Biol Evol       Date:  2011-05-04       Impact factor: 16.240

5.  HIV quasispecies and resampling.

Authors:  S L Liu; A G Rodrigo; R Shankarappa; G H Learn; L Hsu; O Davidov; L P Zhao; J I Mullins
Journal:  Science       Date:  1996-07-26       Impact factor: 47.728

6.  Improvement in the health of HIV-infected persons in care: reducing disparities.

Authors:  Richard D Moore; Jeanne C Keruly; John G Bartlett
Journal:  Clin Infect Dis       Date:  2012-09-26       Impact factor: 9.079

7.  Transmission of HIV-1 drug-resistant variants: prevalence and effect on treatment outcome.

Authors:  Martin R Jakobsen; Martin Tolstrup; Ole S Søgaard; Louise B Jørgensen; Paul R Gorry; Alex Laursen; Lars Ostergaard
Journal:  Clin Infect Dis       Date:  2010-02-15       Impact factor: 9.079

8.  Drug resistance mutations for surveillance of transmitted HIV-1 drug-resistance: 2009 update.

Authors:  Diane E Bennett; Ricardo J Camacho; Dan Otelea; Daniel R Kuritzkes; Hervé Fleury; Mark Kiuchi; Walid Heneine; Rami Kantor; Michael R Jordan; Jonathan M Schapiro; Anne-Mieke Vandamme; Paul Sandstrom; Charles A B Boucher; David van de Vijver; Soo-Yon Rhee; Tommy F Liu; Deenan Pillay; Robert W Shafer
Journal:  PLoS One       Date:  2009-03-06       Impact factor: 3.240

9.  Prevalence and clinical significance of HIV drug resistance mutations by ultra-deep sequencing in antiretroviral-naïve subjects in the CASTLE study.

Authors:  Max Lataillade; Jennifer Chiarella; Rong Yang; Steven Schnittman; Victoria Wirtz; Jonathan Uy; Daniel Seekins; Mark Krystal; Marco Mancini; Donnie McGrath; Birgitte Simen; Michael Egholm; Michael Kozal
Journal:  PLoS One       Date:  2010-06-03       Impact factor: 3.240

10.  Impact of transmission of drug-resistant HIV on the course of infection and the treatment success. Data from the German HIV-1 Seroconverter Study.

Authors:  G Poggensee; C Kücherer; J Werning; S Somogyi; B Bieniek; S Dupke; H Jessen; O Hamouda
Journal:  HIV Med       Date:  2007-11       Impact factor: 3.180

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  26 in total

1.  Short Communication: Analysis of Minor Populations of Human Immunodeficiency Virus by Primer Identification and Insertion-Deletion and Carry Forward Correction Pipelines.

Authors:  Paul Hughes; Wenjie Deng; Scott C Olson; Robert W Coombs; Michael H Chung; Lisa M Frenkel
Journal:  AIDS Res Hum Retroviruses       Date:  2015-12-15       Impact factor: 2.205

2.  Primer ID Validates Template Sampling Depth and Greatly Reduces the Error Rate of Next-Generation Sequencing of HIV-1 Genomic RNA Populations.

Authors:  Shuntai Zhou; Corbin Jones; Piotr Mieczkowski; Ronald Swanstrom
Journal:  J Virol       Date:  2015-06-03       Impact factor: 5.103

3.  Genome-wide quantification of rare somatic mutations in normal human tissues using massively parallel sequencing.

Authors:  Margaret L Hoang; Isaac Kinde; Cristian Tomasetti; K Wyatt McMahon; Thomas A Rosenquist; Arthur P Grollman; Kenneth W Kinzler; Bert Vogelstein; Nickolas Papadopoulos
Journal:  Proc Natl Acad Sci U S A       Date:  2016-08-15       Impact factor: 11.205

4.  Comparison of an In Vitro Diagnostic Next-Generation Sequencing Assay with Sanger Sequencing for HIV-1 Genotypic Resistance Testing.

Authors:  Philip L Tzou; Pramila Ariyaratne; Vici Varghese; Charlie Lee; Elian Rakhmanaliev; Carolin Villy; Meiqi Yee; Kevin Tan; Gerd Michel; Benjamin A Pinsky; Robert W Shafer
Journal:  J Clin Microbiol       Date:  2018-05-25       Impact factor: 5.948

5.  Impact of Suboptimal APOBEC3G Neutralization on the Emergence of HIV Drug Resistance in Humanized Mice.

Authors:  Matthew M Hernandez; Audrey Fahrny; Ravi Sachidanandam; Roberto F Speck; Viviana Simon; Anitha Jayaprakash; Gustavo Gers-Huber; Marsha Dillon-White; Annette Audigé; Lubbertus C F Mulder
Journal:  J Virol       Date:  2020-02-14       Impact factor: 5.103

6.  No Substantial Evidence for Sexual Transmission of Minority HIV Drug Resistance Mutations in Men Who Have Sex with Men.

Authors:  Antoine Chaillon; Masato Nakazawa; Joel O Wertheim; Susan J Little; Davey M Smith; Sanjay R Mehta; Sara Gianella
Journal:  J Virol       Date:  2017-10-13       Impact factor: 5.103

7.  Two Genetic Differences between Closely Related Zika Virus Strains Determine Pathogenic Outcome in Mice.

Authors:  Derek L Carbaugh; Shuntai Zhou; Wes Sanders; Nathaniel J Moorman; Ronald Swanstrom; Helen M Lazear
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8.  Low-Abundance Drug-Resistant HIV-1 Variants in Antiretroviral Drug-Naive Individuals: A Systematic Review of Detection Methods, Prevalence, and Clinical Impact.

Authors:  Herbert A Mbunkah; Silvia Bertagnolio; Raph L Hamers; Gillian Hunt; Seth Inzaule; Tobias F Rinke De Wit; Roger Paredes; Neil T Parkin; Michael R Jordan; Karin J Metzner
Journal:  J Infect Dis       Date:  2020-04-27       Impact factor: 5.226

9.  Compartmentalization and Clonal Amplification of HIV-1 in the Male Genital Tract Characterized Using Next-Generation Sequencing.

Authors:  Samuel Mundia Kariuki; Philippe Selhorst; Colin Anthony; David Matten; Melissa-Rose Abrahams; Darren P Martin; Kevin K Ariën; Kevin Rebe; Carolyn Williamson; Jeffrey R Dorfman
Journal:  J Virol       Date:  2020-06-01       Impact factor: 5.103

Review 10.  HIV-1 drug resistance and resistance testing.

Authors:  Dana S Clutter; Michael R Jordan; Silvia Bertagnolio; Robert W Shafer
Journal:  Infect Genet Evol       Date:  2016-08-29       Impact factor: 3.342

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