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Ascorbic acid metabolism during white spruce somatic embryo maturation and germination

2001· article· en· W2158017043 on OpenAlexafffund
Claudio Stasolla, Edward C. Yeung

Bibliographic record

VenuePhysiologia Plantarum · 2001
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicSeed Germination and Physiology
Canadian institutionsUniversity of Calgary
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsEmbryoGerminationAscorbic acidMetabolismSomatic embryogenesisBiochemistryBiologyChemistryBotanyEmbryogenesisHorticultureCell biology

Abstract

fetched live from OpenAlex

Changes in ascorbic acid (AA) metabolism were investigated in 3 different cell lines of white spruce; a non‐embryogenic line (NE)WS and two embryogenic lines with low (E)WS1 and high (E)WS2 percentage of embryo germination. During embryo maturation, a high AA/dehydroascorbate (DHA) ratio was observed in the two embryogenic cultures. The increment of this ratio was mainly ascribed to the high ability of the (E)WS1 and (E)WS2 lines to generate AA from its last precursor, l ‐galactono‐ γ ‐lactone, since no increase in the activities of the AA‐recycling enzymes, i.e., AA free‐radical reductase (AFRR) and DHA reductase (DHAR), was observed as the embryos developed. During the partial drying treatment needed for successful embryo germination, the ability to de novo generate AA continued to increase in the embryos of the two embryogenic lines, although the total ascorbate pool (AA+DHA) sharply decreased. A reactivation of the overall AA metabolism was observed at the inception of germination, especially in the (E)WS2 embryos. These results suggest that (1) the ability to metabolically alter the AA/DHA ratio may be a fundamental requirement for somatic embryo maturation and (2) the restoration of the AA metabolism during the first days of germination may be necessary for successful embryo germination.

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 score0.970
Threshold uncertainty score0.359

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 head0.012
GPT teacher head0.211
Teacher spread0.199 · 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

Citations71
Published2001
Admission routes2
Has abstractyes

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