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Record W4405703643 · doi:10.1128/jvi.01606-24

Variability in HIV-1 transmitted/founder virus susceptibility to combined APOBEC3F and APOBEC3G host restriction

2024· article· en· W4405703643 on OpenAlexafffund
Amit Gaba, Maria Yousefi, Shreoshri Bhattacharjee, Linda Chelico

Bibliographic record

VenueJournal of Virology · 2024
Typearticle
Languageen
FieldImmunology and Microbiology
TopicHIV Research and Treatment
Canadian institutionsUniversity of Saskatchewan
FundersCanadian Institutes of Health ResearchSaskatchewan Health Research Foundation
KeywordsBiologyAPOBEC3GVirologyHuman immunodeficiency virus (HIV)Host (biology)VirusGeneticsViral replication

Abstract

fetched live from OpenAlex

Several APOBEC3 enzymes restrict HIV-1 by deaminating cytosine to form uracil in single-stranded proviral (-)DNA. However, HIV-1 Vif counteracts their activity by inducing their proteasomal degradation. This counteraction by Vif is incomplete, as evidenced by footprints of APOBEC3-mediated mutations within integrated proviral genomes of people living with HIV-1. The relative contributions of multiple APOBEC3s in HIV-1 restriction are not fully understood. Here, we investigated the activity of co-expressed APOBEC3F and APOBEC3G against HIV-1 Subtype B and Subtype C transmitted/founder viruses. We determined that APOBEC3F interacts with APOBEC3G through its N-terminal domain. We provide evidence that this results in protection of APOBEC3F from Vif-mediated degradation because the APOBEC3F N-terminal domain contains residues required for recognition by Vif. We also found that HIV-1 Subtype C Vifs, but not Subtype B Vifs, were less active against APOBEC3G when APOBEC3F and APOBEC3G were co-expressed. Consequently, when APOBEC3F and APOBEC3G were expressed together in a single cycle of HIV-1 replication, only HIV-1 Subtype C viruses showed a decrease in relative infectivity compared to when APOBEC3G was expressed alone. Inspection of Vif amino acid sequences revealed that differences in amino acids adjacent to conserved sequences influenced the Vif-mediated APOBEC3 degradation ability. Altogether, the data provide a possible mechanism for how combined expression of APOBEC3F and APOBEC3G could contribute to mutagenesis of HIV-1 proviral genomes despite the presence of Vif and provide evidence for variability in the Vif-mediated APOBEC3 degradation ability of transmitted/founder viruses.IMPORTANCEAPOBEC3 enzymes suppress HIV-1 infection by inducing cytosine deamination in proviral DNA but are hindered by HIV-1 Vif, which leads to APOBEC3 proteasomal degradation. Moving away from traditional studies that used lab-adapted HIV-1 Subtype B viruses and singular APOBEC3 enzymes, we examined how transmitted/founder isolates of HIV-1 replicated in the presence of APOBEC3F and APOBEC3G. We determined that APOBEC3F interacts with APOBEC3G through its N-terminal domain and that APOBEC3F, like APOBEC3G, has Vif-mediated degradation determinants in the N-terminal domain. This enabled APOBEC3F to be partially resistant to Vif-mediated degradation. We also demonstrated that Subtype C is more susceptible than Subtype B HIV-1 to combined APOBEC3F/APOBEC3G restriction and identified Vif variations influencing APOBEC3 degradation ability. Importantly, Vif amino acid variation outside of previously identified conserved regions mediated APOBEC3 degradation and HIV-1 Vif subtype-specific differences. Altogether, we identified factors that affect susceptibility to APOBEC3F/APOBEC3G restriction.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.013
GPT teacher head0.277
Teacher spread0.264 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2024
Admission routes2
Has abstractyes

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