Subcellular NH<sub>4</sub><sup>+</sup> flux analysis in leaf segments of wheat (<i>Triticum aestivum</i>)
Bibliographic record
Abstract
• We report the first use of tracer 13NH4+ (13N-ammonium) efflux and retention data to analyse subcellular fluxes and compartmentation of NH4+ in the leaves of a higher plant (wheat, Triticum aestivum). • Leaf segments, 1–2 mm, were obtained from 8-d-old seedlings. The viability of the segments, and stability of NH 4 + acquisition over time, were confirmed using oxygen-exchange and NH 4 + -depletion measurements. Fluxes of NH 4 + and compartment sizes were estimated using tracer efflux kinetics and retention data. • Influx and efflux across the plasma membrane, half-lives of exchange and cytosolic pool sizes were broadly similar to those in root systems. As the external concentration of NH 4 + ([NH 4 + ] o ) increased from 10 µ m to 10 m m , both influx and efflux greatly increased, with a sixfold increase in the ratio of efflux to influx. Half-lives were similar among treatments, except at [NH 4 + ] o = 10 m m , where they declined. Concentrations of NH 4 + in the cytosol ([NH 4 + ] c ) increased from 2.6 to 400 m m . • Although [NH 4 + ] c became large as [NH 4 + ] o increased, the ratio of [NH 4 + ] c to [NH 4 + ] o decreased more than sixfold. The apparently futile cycling of NH 4 + at high [NH 4 + ] o suggested by the large fluxes of NH 4 + in both directions across the membrane indicate that leaf cells respond to potentially toxic NH 4 + concentrations in a manner similar to root cells.
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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) | 0.001 | 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".