The Nucleotide Excision Repair System of Borrelia burgdorferi Is the Sole Pathway Involved in Repair of DNA Damage by UV Light
Bibliographic record
Abstract
To survive and avoid accumulation of mutations caused by DNA damage, the genomes of prokaryotes encode a variety of DNA repair pathways most well characterized in Escherichia coli. Some of these are required for the infectivity of various pathogens. In this study, the importance of 25 DNA repair/recombination genes for Borrelia burgdorferi survival to UV-induced DNA damage was assessed. In contrast to E. coli, where 15 of these genes have an effect on survival of UV irradiation, disruption of recombinational repair, transcription-coupled repair, methyl-directed mismatch correction, and repair of arrested replication fork pathways did not decrease survival of B. burgdorferi exposed to UV light. However, the disruption of the B. burgdorferi nucleotide excision repair (NER) pathway (uvrA, uvrB, uvrC, and uvrD) resulted in a 10- to 1,000-fold increase in sensitivity to UV light. A functional NER pathway was also shown to be required for B. burgdorferi resistance to nitrosative damage. Finally, disruption of uvrA, uvrC, and uvrD had only a minor effect upon murine infection by increasing the time required for dissemination.
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 | 0.000 | 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) | 0.001 | 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".