The α-tubulin gene family in wheat (Triticum aestivum L.) and differential gene expression during cold acclimation
Bibliographic record
Abstract
The alpha-tubulins and beta-tubulins are the major constituents of microtubules, which have been recognized as important structural elements in cell growth and morphogenesis, and, recently, for their role in regulation and signal transduction. We have identified 15 full-length cDNAs for the members of the alpha-tubulin gene family in hexaploid bread wheat (Triticum aestivum L.). The genes were clustered into 5 homeologous groups of 3 genes. Representatives of the 5 homeologous groups were mapped to different chromosome arms, and the genome of origin was determined for each gene. Changes in mRNA levels were observed for the paralogous members of the gene family during cold acclimation. Three members of the family had initial decreases in mRNA levels in response to cold treatment, which were followed by increases, each with a different pattern of reinduction. One gene-family member showed increased mRNA for up to 14 d during cold acclimation and had decreased levels after 36 d of cold treatment; a fifth paralogous member of the gene family had slowly declining mRNA levels up to 36 d. Subtle differences in the level of gene expression among homeologs and large differences among paralogs were detected by comparing the relative abundance of wheat alpha-tubulin expressed sequence tags (ESTs) in public databases.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".