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Record W2069733933 · doi:10.4161/psb.22477

NAD

2013· review· en· W2069733933 on OpenAlexaff
Pierre Pétriacq, Linda de Bont, Guillaume Tcherkez, Bertrand Gakière

Bibliographic record

VenuePlant Signaling & Behavior · 2013
Typereview
Languageen
FieldAgricultural and Biological Sciences
TopicPlant-Microbe Interactions and Immunity
Canadian institutionsCanadian Nautical Research Society
FundersAgence Nationale de la Recherche
KeywordsNAD+ kinaseNicotinamide adenine dinucleotideRedoxBiochemistryCatabolismMetabolismGlutathioneNicotinamideBiologyChemistryMetabolic pathwayNucleotideEnzymeGene

Abstract

fetched live from OpenAlex

Many metabolic processes that occur in living cells involve oxido-reduction (redox) chemistry underpinned by redox compounds such as glutathione, ascorbate and/or pyridine nucleotides. Among these redox carriers, nicotinamide adenine dinucleotide (NAD) is the cornerstone of cellular oxidations along catabolism and is therefore essential for plant growth and development. In addition to its redox role, there is now compelling evidence that NAD is a signal molecule controlling crucial functions like primary and secondary carbon metabolism. Recent studies using integrative -omics approaches combined with molecular pathology have shown that manipulating NAD biosynthesis and recycling lead to an alteration of metabolites pools and developmental processes, and changes in the resistance to various pathogens. NAD levels should now be viewed as a potential target to improve tolerance to biotic stress and crop improvement. In this paper, we review the current knowledge on the key role of NAD (and its metabolism) in plant responses to pathogen infections.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.938
Threshold uncertainty score0.000

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0020.001
Open science0.0020.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0620.071

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 head0.096
GPT teacher head0.297
Teacher spread0.201 · 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.

Study designNot applicable
Domainnot available
GenreOther

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

Citations66
Published2013
Admission routes1
Has abstractyes

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