Hybrid sequencing reveals the genome of a Chrysochromulina parva virus and highlight its distinct replication strategy
Bibliographic record
Abstract
Chrysochromulina parva (C. parva) is a eukaryotic freshwater haptophyte algae found in lakes and rivers worldwide. It is known to be infected by viruses, yet knowledge of the diversity and activity of these viruses is still very limited. Based on sequences of PCR-amplified DNA polymerase B (polB) gene fragments, Chrysochromulina parva virus BQ1 (CpV-BQ1) was the first known lytic agent of C. parva, and was considered a member of the virus family Phycodnaviridae, order Algavirales. However, the genome of a different C. parva-infecting virus (CpV-BQ2, or Tethysvirus ontarioense) from another virus family, the Mesomimiviridae, order Imitervirales, was the first sequenced. Here, we report the complete genome sequence of the putative phycodnavirus CpV-BQ1, accession PQ783904. The complete CpV-BQ1 genome sequence is 165,454 bp with a GC content of 32.32% and it encodes 193 open reading frames. Phylogenetic analyses of several virus hallmark genes including the polB, the late gene transcription factor (VLTF-3), and the putative A32-like virion packaging ATPase (Viral A32) all demonstrate that CpV-BQ1 is most closely related to other viruses in the phylum Megaviricetes within the order Algavirales, family Phycodnaviridae.
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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 | 0.000 |
| 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".