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Record W2067590457 · doi:10.1139/b03-114

Genetic analysis of the expression of the cold-regulated gene <i>cor14b</i>: a way toward the identification of components of the cold response signal transduction in Triticeae

2003· article· en· W2067590457 on OpenAlexvenueno aff
Cristina Crosatti, Caterina Marè, Elisabetta Mazzucotelli, Sara Belloni, Samantha Barilli, Roberto Bassi, Jorge Dubcovsky, Gábor Galiba, A. M. Stanca, Luigi Cattivelli

Bibliographic record

VenueCanadian Journal of Botany · 2003
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant Stress Responses and Tolerance
Canadian institutionsnot available
FundersConsiglio Nazionale delle RicercheMagyar Tudományos AkadémiaNational Science Foundation
KeywordsTriticeaeBiologyGeneGeneticsFrost (temperature)Gene expressionMutantTransduction (biophysics)Signal transductionLocus (genetics)Cell biologyBotanyGenome

Abstract

fetched live from OpenAlex

Extensive molecular biological studies have led to the cloning of many cold-regulated genes (cor) whose expression is up-regulated in winter cereals during exposure to cold. Among them is cor14b, a nuclear gene coding for a chloroplast-localized protein whose expression level has been associated with frost resistance in Triticeae. Although frost tolerance is recognised as a complex quantitative character, members of homologous group 5 in Triticeae are known to carry major loci determining frost tolerance. In this work we summarize a number of recent experiments where the cold-regulated gene cor14b was used as a tool (i) to understand the genetic relationship between the expression of cor genes and the frost resistance loci and (ii) to identify barley mutants revealing a chloroplast role in the signal transduction pathway leading to the molecular cold response.Key words: Triticeae, cold hardening, frost resistance, cor genes.

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 score0.005

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)0.0010.000

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 head0.016
GPT teacher head0.194
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

Citations23
Published2003
Admission routes1
Has abstractyes

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