<i>In vitro</i>‐cultured wheat spikes provide a simplified alternative for studies of cadmium uptake in developing grains
Bibliographic record
Abstract
BACKGROUND: An immature wheat spike culture system was used to monitor cadmium (Cd) accumulation in grains, hulls and awns of bread wheat and durum wheat. Immature spikes were cultured prior to anthesis in a medium containing 50 g L(-1) sucrose and 0.4 g L(-1) L-glutamine, supplemented with 0, 0.1, 0.5, 1, 2, 3, 4, 5, 10, 15, 20 or 25 mg L(-1) cadmium chloride (CdCl(2)). Grains were collected at maturity and their Cd accumulation was determined using inductively coupled plasma mass spectrometry (ICP-MS). RESULTS: Cd accumulation at CdCl(2) concentrations of 3 mg L(-1) and above was higher in grains of durum wheat compared with bread wheat. In hulls a similar trend was observed at CdCl(2) concentrations above 15 mg L(-1) . Starch concentration in grains increased slightly at 3 and 4 mg L(-1) CdCl(2). Cd accumulation negatively affected grain protein concentration. Expression patterns of Cd-related genes glutathione reductase (TaGR), metallothionein (MT) and phytochelatin synthase (PCS) in spikes cultured in media containing 0, 5, 10, 15 and 25 mg L(-1) CdCl(2) at 5 days post-anthesis showed that TaGR and PCS expression in bread wheat was up-regulated at 5 mg L(-1) CdCl(2) but down-regulated at other CdCl(2) concentrations. However, in durum wheat, expression of all three genes was down-regulated or remained unchanged. CONCLUSION: This study demonstrates that immature spike culture can be used to study Cd accumulation in grains and can delineate hyper-accumulating durum wheat from bread wheat at CdCl(2) concentrations of 2 mg L(-1) and above.
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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".