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Updated: Jun 11, 2025

Determining 3'-Termini and Sequences of Nascent Single-Stranded Viral DNA Molecules during HIV-1 Reverse Transcription in Infected Cells
Published on: January 30, 2019
HIV-1 Reverse Transcriptase Error Rates and Transcriptional Thresholds Based on Single-strand Consensus Sequencing of
Javier Martínez Del Río1, Estrella Frutos-Beltrán1, Alba Sebastián-Martín1
1Centro de Biología Molecular Severo Ochoa (Consejo Superior de Investigaciones Científicas and Universidad Autónoma de Madrid), Madrid 28049, Spain.
Abstract:
Nucleotide incorporation and lacZ-based forward mutation assays have been widely used to determine the accuracy of reverse transcriptases (RTs) in RNA-dependent DNA polymerization reactions. However, they involve quite complex and laborious procedures, and cannot provide accurate error rates. Recently, NGS-based methods using barcodes opened the possibility of detecting all errors introduced by the RT, although their widespread use is limited by cost, due to the large size of libraries to be sequenced. In this study, we describe a novel and relatively simple NGS assay based on single-strand consensus sequencing that provides robust results with a relatively small number of raw sequences (around 60 Mb). The method has been validated by determining the error rate of HIV-1 (BH10 strain) RT using the HIV-1 protease-coding sequence as target. HIV-1 reverse transcription error rates in standard conditions (37 °C/3 mM Mg2+) using an in vitro-transcribed RNA were around 7.3 × 10-5. In agreement with previous reports, an 8-fold increase in RT's accuracy was observed after reducing Mg2+ concentration to 0.5 mM. The fidelity of HIV-1 RT was also higher at 50 °C than at 37 °C (error rate 1.5 × 10-5). Interestingly, error rates obtained with HIV-1 RNA from infected cells as template of the reverse transcription at 3 mM Mg2+ (7.4 × 10-5) were similar to those determined with the in vitro-transcribed RNA, and were reduced to 1.8 × 10-5 in the presence of 0.5 mM Mg2+. Values obtained at low magnesium concentrations were modestly higher than the transcription error rates calculated for human cells, thereby suggesting a realistic transcriptional threshold for our NGS-based error rate determinations.
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