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Record W4309618991 · doi:10.1134/s1021443722060048

Light Regulation of Tricarboxylic Acid Cycle Isoenzymes in Plants

2022· article· en· W4309618991 on OpenAlexaff
Д. Н. Федорин, А. Т. Епринцев, Abir U. Igamberdiev

Bibliographic record

VenueRussian Journal of Plant Physiology · 2022
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicLight effects on plants
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsCitric acid cycleBiologyBiochemistryFumaraseMalate dehydrogenaseTranscription factorAconitaseCell biologyEnzymeGene

Abstract

fetched live from OpenAlex

Abstract Light regulation of the tricarboxylic acid cycle (TCA) in green plant leaves is carried out by active forms of phytochrome and cryptochrome as well as other mechanisms that exhibit an inhibitory effect on the activity of a number of mitochondrial isoenzymes. Phytochrome signal transduction into the cell nucleus is carried out by redistribution of free calcium cations between cell compartments, which leads to the activation of calmodulins. Interacting with Ca2+-cam-dependent kinase, calmodulins provide control over the functioning of the transcription factor PIF3, which regulates the expression of genes for isoenzymes of 2-oxoglutarate dehydrogenase, succinate dehydrogenase, aconitate hydratase, malate dehydrogenase, fumarate hydratase, and citrate synthase in green leaves of plants, thus controlling the rate of functioning of the TCA. The high methyl status of the promoters of the genes encoding these enzymes leads to the suppression of their transcription, which suggests an epigenetic mechanism for light regulation of their expression. Changes in the methyl status of individual CG dinucleotides in the CpG islands of gene promoters regulate their functioning in plant leaves under different lighting conditions.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.896
Threshold uncertainty score0.437

Codex and Gemma teacher scores by category

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 integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.009
GPT teacher head0.196
Teacher spread0.187 · 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 teacher head, 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

Citations7
Published2022
Admission routes1
Has abstractyes

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