Salt stress response single genes expression in diploid and autopolyploid Hordeum bulbosum
Bibliographic record
Abstract
Soil salinity is a worldwide problem, which hinders the growth of crop yields and brings great challenges to the world.To deal with the reduction of agricultural land, research and cultivating the development of salt-tolerant crops are urgently needed.Autotetraploidy has played an important role in plant evolution and plant speciation.An autotetraploid wild grass species (Hordeum bulbosum) has advantages in high-salt environments.However, the function of single genes in autopolyploid for salt tolerance is poorly unknown.Physiological activities related to a single functional gene are important for the salt resistance in barley; the release of protective metabolites is promoted by the single function gene.The purpose of this study is to compare the difference in gene expression of single genes between diploid and autotetraploid wild barley.The diploid and autotetraploid wild barley that were used in this study were both incubated with saline and water before comparing their level of gene expression of single genes.The results showed that there is no consistent expression change for all target genes between diploid and autotetraploid, which indicated that polyploidization could result in the gene expression change, either increase or decrease based on each gene.Even if the use of polyploid crops to combat land salinization requires further research, the prospects of salt-tolerant crops are promising.
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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) | 0.002 | 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".