Genetic variability of the U5 and downstream sequence of major HIV-1 subtypes and circulating recombinant forms
Bibliographic record
Abstract
The critical role of the regulatory elements at the 5' end of the HIV-1 genome in controlling the life cycle of HIV-1 indicates that this region significantly influences virus fitness and its biological properties. In this study, we performed a detailed characterization of strain-specific variability of sequences from the U5 to upstream of the gag gene start codon of diverse HIV-1 strains by using next-generation sequencing (NGS) techniques. Overall, we found that this region of the HIV-1 genome displayed a low degree of intra-strain variability. On the other hand, inter-strain variability was found to be as high as that reported for gag and env genes (13-17%). We observed strain-specific single point and clustered mutations in the U5, PBS, and gag leader sequences (GLS), generating potential strain-specific transcription factor binding sites (TFBS). Using an infrared gel shift assay, we demonstrated the presence of potential TFBS such as E-box in CRF22_01A, and Stat 6 in subtypes A and G, as well as in their related CRFs. The strain-specific variation found in the sequence corresponding at the RNA level to functional domains of the 5' UTR, could also potentially impact the secondary/tertiary structural rearrangement of this region. Thus, the variability observed in this 5' end of the genomic region of divergent HIV-1 strains strongly suggests that functions of this region might be affected in a strain-specific manner. Our findings provide new insights into DNA-protein interactions that regulate HIV-1 replication and the influence of strain characterization on the biology of HIV-1 infection.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".