Prevalence of psbA-containing cyanobacterial podoviruses in the ocean
Bibliographic record
Abstract
Podoviruses that infect marine picocyanobacteria are abundant and could play a significant role on regulating host populations due to their specific phage-host relationship. Genome sequencing of cyanophages has unveiled that many marine cyanophages encode certain photosynthetic genes like psbA. It appears that psbA is only present in certain groups of cyanopodovirus isolates. In order to better understand the prevalence of psbA in cyanobacterial podoviruses, we searched the marine metagenomic database (GOS, BATS, HOT and MarineVirome). Our study suggests that 89% of recruited cyanopodovirus scaffolds from the GOS database contained the psbA gene, supporting the ecological relevance of the photosynthesis gene for surface oceanic cyanophages. Diversification between Clade A and B are consistent with recent finding of two major groups of cyanopodoviruses. All the data also shows that Clade B cyanopodoviruses dominate the surface ocean water, while Clade A cyanopodoviruses become more important in the coastal and estuarine environments.
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 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 | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".