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Record W2000083531 · doi:10.1271/bbb.100813

Detection of Sugar Accumulation and Expression Levels of Correlative Key Enzymes in Winter Wheat (<i>Triticum aestivum</i>) at Low Temperatures

2011· article· en· W2000083531 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueBioscience Biotechnology and Biochemistry · 2011
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant nutrient uptake and metabolism
Canadian institutionsScience North
FundersNortheast Agricultural University
KeywordsSugarSucroseFructoseCultivarCarbohydrateEnzymeDownregulation and upregulationGene expressionChemistryFrost (temperature)HorticultureBiochemistryBiologyFood scienceGeneBotany

Abstract

fetched live from OpenAlex

Carbohydrate accumulation is common in frost-resistant plants, and many enzymes participate in this process. The sugar content and expression levels of metabolic enzymes related to sugar biosynthesis in response to drops in temperature were measured in two cultivars of winter wheat (Triticum aestivum) with different cold tolerances. The results indicate that the two cultivars examined, Dongnongdongmai 1 and Jimai 22, accumulated high levels of carbohydrate before November 4 (above 0°C), and that accumulation decreased as temperatures fell. However, this decrease was more modest in Dongnongdongmai 1, which had a higher sugar content. Sucrose and fructose were the main soluble sugars, indicating an important role in freezing tolerance. Gene expression studies revealed that expression of the genes encoding chloroplastic enzymes was significantly upregulated in the tillering nodes. Expression upregulation of TaSS and TaTPT may be helpful for sugar accumulation before November 4.

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.

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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.179
Threshold uncertainty score0.259

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 studies0.0000.001
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 head0.024
GPT teacher head0.220
Teacher spread0.196 · 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