DNA repair and oxidative stress defense systems in radiation-resistant <i>Deinococcus murrayi</i>
Bibliographic record
Abstract
Deinococcus murrayi is a bacterium isolated from hot springs in Portugal, and named after Dr. Robert G.E. Murray in recognition of his research on the genus Deinococcus. Like other Deinococcus species, D. murrayi is extremely resistant to ionizing radiation. Repair of massive DNA damage and limitation of oxidative protein damage are two important factors contributing to the robustness of Deinococcus bacteria. Here, we identify, among others, the DNA repair and oxidative stress defense proteins in D. murrayi, and highlight special features of D. murrayi. For DNA repair, D. murrayi does not contain a standalone uracil-DNA glycosylase (Ung), but it encodes a protein in which Ung is fused to a DNA photolyase domain (PhrB). UvrB and UvrD contain large insertions corresponding to inteins. One of its endonuclease III enzymes lacks a [4Fe-4S] cluster. Deinococcus murrayi possesses a homolog of the error-prone DNA polymerase IV. Concerning oxidative stress defense, D. murrayi encodes a manganese catalase in addition to a heme catalase. Its organic hydroperoxide resistance protein Ohr is atypical because the redox active cysteines are present in a CXXC motif. These and other characteristics of D. murrayi show further diversity among Deinococcus bacteria with respect to resistance-associated 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 | 0.000 |
| 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".