Mutational analysis of HIV-1 long terminal repeats to explore the relative contribution of reverse transcriptase and RNA polymerase II to viral mutagenesis
Open accessAbstract
HIV-1 evolves rapidly, which is thought to result from one or more error-prone steps in the virus life cycle. Because HIV-1 reverse transcriptase (RT) does not possess 3'- to 5'-exonucleolytic proofreading activity and because RT has been shown to be error-prone in cell free systems, it should be an important contributor to the high rate of HIV-1 mutation. However, because RNA polymerase II (pol II) synthesizes viral RNA, it might also contribute significantly to HIV-1 mutagenesis. To assess the relative contributions of RT and RNA pol II to HIV-1 mutagenesis, a system was established to study the rate and nature of mutations in HIV-1 long terminal repeats (LTRs). Owing to the unique nature of replication at the ends of the viral genome, mutational analysis of retroviral LTRs provides an opportunity to evaluate the relative contribution of HIV-1 RT and RNA pol II to viral mutagenesis. Mutational analysis was performed on both LTRs of 215 proviruses, restricted to a single cycle of replication, employing single-stranded conformational polymorphism and DNA sequencing allowing direct identification of mutations in the absence of selection and within autologous viral sequences. A total of 21 independent mutations was identified. Ten mutations were observed in both LTRs, which could have been introduced by either RT or RNA pol II, whereas the other eleven mutations were only present in a single LTR and could only have been introduced by RT. This provides the first direct evidence that HIV-1 RT contributes significantly to HIV-1 mutagenesis and is likely to be the primary engine for HIV-1 mutagenesis. Moreover, mutations were observed at the U3-R border, but the nature of the mutations and their frequency differed from experiments performed using cell-free systems suggesting that other viral and/or cellular factors contribute to fidelity at the ends of the viral genome.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Cellular RNA polymerase II, along with various viral and host factors, also influences retroviral mutations, particularly in HIV-1.
“However, cellular RNA polymerase II, along with various viral and host factors, also influences retroviral mutations, particularly in HIV-1 (O’Neil et al. 2002, Mangeat et al. 2003, Chiu and Greene 2006, Hughes 2015).”
From Beyond reverse transcription: molecular mechanisms and emerging paradigms in retroviral replication (2026) · cites this paper as O’Neil et al. 2002
Cites
Tight control of gene expression in mammalian cells by tetracycline-responsive promoters.
Gossen, M., & Bujard, H. (1992) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.89.12.5547 · Cited by 4,943 · see citing works
Shankarappa, R., Margolick, J. B., Gange, S. J., Rodrigo, A. G., Upchurch, D., Farzadegan, H., Gupta, P., Rinaldo, C. R., Learn, G. H., He, X., et al. (1999) · Journal of Virology · doi:10.1128/jvi.73.12.10489-10502.1999 · Cited by 926 · see citing works
Fidelity of HIV-1 reverse transcriptase copying RNA in vitro
Ji, J., & Loeb, L. A. (1992) · Biochemistry · doi:10.1021/bi00119a002 · Cited by 208 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Viral error catastrophe by mutagenic nucleosides
Anderson, J. P., Daifuku, R., & Loeb, L. A. (2004) · Annual Review of Microbiology · doi:10.1146/annurev.micro.58.030603.123649 · Cited by 221 · see citing works
Menéndez-Arias, L., Sebastián-Martín, A., & Álvarez, M. (2017) · Virus Research · doi:10.1016/j.virusres.2016.12.019 · Cited by 123 · see citing works
Beyond reverse transcription: molecular mechanisms and emerging paradigms in retroviral replication
Jehad, M. A., Ali, L. M., Pillai, V. N., Prabhu, S. G., Mustafa, F., & Rizvi, T. A. (2026) · FEMS Microbiology Reviews · doi:10.1093/femsre/fuaf066 · Cited by 5 · see citing works
“However, cellular RNA polymerase II, along with various viral and host factors, also influences retroviral mutations, particularly in HIV-1 (O’Neil et al. 2002 , Mangeat et al. 2003 , Chiu and Greene 2006 , Hughes 2015 ).”
- Authors
- O'Neil, P. K., Sun, G., Yu, H., Ron, Y., Dougherty, J. P., & Preston, B. D.
- Affiliations
- Rutgers, The State University of New Jersey (US)
- University of Medicine and Dentistry of New Jersey (US)
- University of Utah (US)
- Corresponding author
- Dougherty, Joseph P.
- ORCID
- Venue
- Journal of Biological Chemistry
- Publisher
- Elsevier BV
- Published
- 2002-10
- Volume
- 277
- Issue
- 41
- Pages
- 38053-38061
- ISSN
- 0021-9258 (ISSN-L)
- OpenAlex
- W2002989036
- Cited by
- 92
- References
- 3
- Citations by year
- 2025: 3 · 2024: 1 · 2023: 3 · 2022: 5 · 2021: 3 · 2020: 1 · 2019: 1 · 2017: 5 · 2016: 7 · 2015: 11 · 2014: 6 · 2013: 7 · 2012: 8
- FWCI
- 1.51
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Journal of Biological Chemistry (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Funders
- National Institutes of Health
- National Cancer Institute (CA 50777)
- National Institute of Allergy and Infectious Diseases (AI 34834)
- Topics
- Life Sciences › Immunology and Microbiology › Virology › HIV Research and Treatment
- Health Sciences › Medicine › Infectious Diseases › HIV/AIDS drug development and treatment
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Evolution and Genetic Dynamics
- Keywords
- HIV-1, long terminal repeat, viral mutagenesis, reverse transcriptase, RNA polymerase II, error-prone replication, proofreading, viral evolution, single-strand conformation polymorphism
- MeSH terms
- Base Sequence, Cell Line, Biological Evolution, Genetic Vectors, Humans, Molecular Sequence Data, Mutation, RNA Polymerase II, HIV-1, Mutagenesis, Insertional, HIV Long Terminal Repeat, Sequence Alignment, Sequence Analysis, DNA, Polymorphism, Single-Stranded Conformational, HIV Reverse Transcriptase
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review