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Reactive oxygen species stimulate homologous recombination in plants

2003· article· en· W1989169123 on OpenAlexafffund
Igor Kovalchuk, Jody Filkowski, Kurt J. Smith, Olga Kovalchuk

Bibliographic record

VenuePlant Cell & Environment · 2003
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicPhotosynthetic Processes and Mechanisms
Canadian institutionsUniversity of Lethbridge
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsReactive oxygen speciesHomologous recombinationParaquatChemistryRadicalMethane sulfonateBiochemistryArabidopsisOxidative stressDNABiophysicsBiologyGeneMutant

Abstract

fetched live from OpenAlex

ABSTRACT Coping with the continuous production of free radicals is a daily routine of the cell. Despite their toxicity, the reactive oxygen species (ROS) are involved in dual physiological action – signal transduction and immune response. We analysed the influence of oxidative stress‐generating compounds, rose Bengal (RB), paraquat (PQ) and amino‐triazole (ATZ) on the genome stability of Arabidopsis using transgenic recombination‐monitoring plants. Homologous recombination frequencies in plants were increased upon the treatment with RB and PQ but not ATZ. Application of the N‐acetyl‐L‐cysteine (NAC), radicals scavenging compound, decreased the DNA damage caused by RB. Interestingly, the incubation of plants with very low concentration of RB (less than 0.2 µM) led to the subsequent increase in plant tolerance to methyl methane sulfonate (MMS): stronger plants with a lower increase of homologous recombination frequency. In contrast, the incubation of plants with 0.5 µM of RB resulted in the potentiation of the MMS effect: the weaker plants with higher frequency of recombination. The data of the present study suggest the existence of a dual concentration‐dependent role of ROS in plants.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.001

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.

Opus teacher head0.008
GPT teacher head0.186
Teacher spread0.178 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations42
Published2003
Admission routes2
Has abstractyes

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