Proteome response of wild wheat relative <i>Kengyilia thoroldiana</i> to drought stress
Bibliographic record
Abstract
Yang, S., Li, X., Ma, Y., Sun, X., Yang, Y. and Yang, Y. 2015. Proteome response of wild wheat relative Kengyilia thoroldiana to drought stress. Can. J. Plant Sci. 95: 237–249. Wild relatives of crops provide plant breeders with a broad pool of potentially useful genetic sources. The genus Kengyilia, being a member of the tribe Triticeae, is related to wheat, barley, and other cereals and forage grasses. We studied proteomic changes in K. thoroldiana seedlings in response to drought stress after withholding water for 0, 3, 6, 9 and 15 d. To determine the proteomic changes that occurred in leaves of K. thoroldiana under drought stress, two-dimensional gel electrophoresis (2-DE) and mass spectrometry were performed to identify protein expression changes. Seventy proteins showing reproducible and significant expression changes were identified. Among them, 28 proteins were up-regulated, whereas seven proteins were down-regulated. Based on database-annotated functions, these 70 proteins were categorized as energy metabolism, stress response, antioxidative enzyme, transcript and signal transduction, predicted proteins, and chloroplast-related proteins. Cluster analysis further showed that the up-regulated proteins were mainly stress response proteins and antioxidative enzymes. These results suggest that K. thoroldiana may resist drought stress by increasing the expression of stress response proteins and by producing antioxidative enzymes to remove reactive oxygen species. We conclude that the K. thoroldiana drought stress response mechanism could represent a useful genetic resource for related studies in wheat.
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".