The scientific revolution that unraveled the astonishing DNA repair capacity of the <i>Deinococcaceae</i>: 40 years on
Bibliographic record
Abstract
The family Deinococcaceae exhibits exceptional radiation resistance and possesses all the necessary traits for surviving in radiation-exposed environments. Their survival strategy involves the coupling of metabolic and DNA repair functions, resulting in an extraordinarily efficient homologous repair of DNA double-strand breaks (DSBs) caused by radiation or desiccation. The keys to their survival lie in the hyperaccumulation of manganous (Mn2+)-metabolite antioxidants that protect their DNA repair proteins under extreme oxidative stress and the persistent structural linkage by Holliday junctions of their multiple genome copies per cell that facilitates DSB repair. This coupling of metabolic and DNA repair functions has made polyploid Deinococcus bacteria a useful tool in environmental biotechnology, radiobiology, aging, and planetary protection. The review highlights the groundbreaking contributions of the late Robert G.E. Murray to the field of Deinococcus research and the emergent paradigm-shifting discoveries that revolutionized our understanding of radiation survivability and oxidative stress defense, demonstrating that the proteome, rather than the genome, is the primary target responsible for survivability. These discoveries have led to the commercial development of irradiated vaccines using Deinococcus Mn-peptide antioxidants and have significant implications for various fields.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.002 |
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".