Evidence map›Paper›PMID 40006928›Full record

ReviewViruses2025

Next-Generation Sequencing Methods to Determine the Accuracy of Retroviral Reverse Transcriptases: Advantages and Limitations.

Javier Martínez Del Río, Luis Menéndez-Arias

Abstract readReview
In one paragraph

Review in Viruses, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Javier Martínez Del RíoCentro de Biología Molecular Severo Ochoa, Consejo Superior de Investigaciones Científicas & Universidad Autónoma de Madrid, c/Nicolás Cabrera 1, 28049 Madrid, Spain.ORCID 0000-0002-9970-7596
Luis Menéndez-AriasCentro de Biología Molecular Severo Ochoa, Consejo Superior de Investigaciones Científicas & Universidad Autónoma de Madrid, c/Nicolás Cabrera 1, 28049 Madrid, Spain.ORCID 0000-0002-1251-6640

Funding

Ministerio de Ciencia, Innovación y Universidades PID2022-136725OB-I00/AEI/10.13039/501100011033
6 · The paper itself

Abstract

Retroviruses, like other RNA viruses, mutate at very high rates and exist as genetically heterogeneous populations. The error-prone activity of viral reverse transcriptase (RT) is largely responsible for the observed variability, most notably in HIV-1. In addition, RTs are widely used in biotechnology to detect RNAs and to clone expressed genes, among many other applications. The fidelity of retroviral RTs has been traditionally analyzed using enzymatic (gel-based) or reporter-based assays. However, these methods are laborious and have important limitations. The development of next-generation sequencing (NGS) technologies opened the possibility of obtaining reverse transcription error rates from a large number of sequences, although appropriate protocols had to be developed. In this review, we summarize the developments in this field that allowed the determination of RNA-dependent DNA synthesis error rates for different RTs (viral and non-viral), including methods such as PRIMER IDs, REP-SEQ, ARC-SEQ, CIR-SEQ, SMRT-SEQ and ROLL-SEQ. Their advantages and limitations are discussed. Complementary DNA (cDNA) synthesis error rates obtained in different studies, using RTs and RNAs of diverse origins, are presented and compared. Future improvements in methodological pipelines will be needed for the precise identification of mutations in the RNA template, including modified bases.

Indexed as

High-Throughput Nucleotide SequencingRetroviridaeRNA-Directed DNA PolymeraseHumansReverse TranscriptionRNA, ViralRNA-Directed DNA PolymeraseRNA, ViralcDNA synthesisfidelity of DNA synthesisnext-generation sequencingretrovirusreverse transcriptase

Identifiers

PMID40006928
PMCPMC11861041

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.