Biosynthesis of glycosylated 5-hydroxycytosine in the DNA of diverse viruses
Bibliographic record
Abstract
Characterizing viral strategies for circumventing cellular defenses is critical to understanding the biology and therapeutic application of bacteriophages as antimicrobials. Many bacteriophages synthesize complex modifications (i.e. hypermodifications) to the nucleobases of their virion DNA in order to circumvent the endonuclease-based defenses of their hosts. To date, most hypermodified pyrimidines in viruses are synthesized via group transfer to a pre-existing hydroxyl moiety in DNA during the later stages of lytic development leading up to packaging of the viral chromosome into the capsid. Typically, these occur at hydroxymethylcytosine or hydroxymethyluracil. We find mono- and poly-arabinosylated cytidines completely replacing canonical cytidine in the native DNA of the Escherichia phage RB69 and Acinetobacter baumannii phage DLP3. In both cases, an arabinosyl moiety is connected directly to the pyrimidine through an ether linkage, with the bridging oxygen originating from 5-hydroxycytosine (5hoC) in DNA. The 5hoC is synthesized as a mononucleotide by a virally encoded thymidylate synthase homolog. We find diverse virally encoded thymidylate synthase homologs, including the Rhizobium phage RL38J1, are capable of producing 5hoC, suggesting this base modification is a starting point for glycodiverse cytosine derivatives. Characterizing these cytosine derivatives adds to our understanding of viral anti-defense mechanisms.
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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) | 0.003 | 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".