Identification of a novel HIV-1 second-generation circulating recombinant form (CRF136_0107) among MSM in China
Bibliographic record
Abstract
OBJECTIVE: To investigate the molecular epidemiology of HIV-1 in Heilongjiang, China, and try to spot signs of new circulating recombinant form (CRF) in this region. DESIGN: A molecular epidemiological study was conducted in Heilongjiang, China during 2011-2020. METHODS: Plasma samples were collected from three HIV-1-positive patients (two MSM and one man lacking risk factor information). The near full-length genome sequences (NFLGs) of a novel CRF were then obtained and subjected to phylogenetic analysis using Mega 7.0.26. Recombination analysis was performed by the jumping profile Hidden Markov Model (jpHMM). Finally, the origin time of this novel CRF was inferred using the Bayesian phylogenetic analysis in Beast v1.10.4. RESULTS: The three NFLGs formed a distinct monophyletic cluster in the neighbor-joining (NJ) tree. Recombination analysis revealed that the recombinant genome was composed of five segments derived from CRF01_AE, subtypes B, and C, but further confirmed to be a second-generation recombinant form of CRF01_AE/CRF07_BC by a comparison of genome maps and subregion phylogenetic analysis and, therefore, designated as CRF136_0107. With Bayesian phylogenetic analysis, CRF136_0107 was estimated to originate around 2010-2011. CONCLUSION: A novel HIV-1 CRF01_AE/CRF07_BC second-generation CRF called CRF136_0107 was identified among MSM in Heilongjiang, a northeast province of China.
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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 | 0.001 | 0.000 |
| 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".