The hypersaline northwestern Arabian Gulf contains a phylogenetically diverse and highly uneven community of viruses related to cyanophages and pelagiphages
Bibliographic record
Abstract
Cyanobacteria are the dominant primary producers in many marine waters, and are intimately connected with the cyanophages that infect them. The most commonly isolated marine cyanophages form a monophyletic group based on several marker genes including g20, a gene that codes the capsid assembly protein. Based on morphology, these viruses are typically referred to as cyanomyoviruses. Here, we used g20 sequences to interrogate the diversity of cyanomyoviruses at 5 locations in the waters of the northwestern Arabian Gulf. The diversity and richness of g20 sequences varied among locations and were highest at the southernmost sites. Most sequences belonged to a small number of operational taxonomic units (OTUs), with the rest belonging to low abundance rare OTUs. Phylogenetic analysis revealed that the most abundant genotypes fell within the ubiquitous cyanomyovirus Cluster II, while others clustered with metagenome assembled pelagimyophage sequences and other environmental sequences across a broad diversity of clades. This study revealed a diverse community of cyanomyoviruses in the northwestern Arabian Gulf that is dominated by a few relatively abundant but phylogenetically diverse taxa.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".