Role of aquaporins in root water transport of ectomycorrhizal jack pine (<i>Pinus banksiana</i>) seedlings exposed to NaCl and fluoride
Bibliographic record
Abstract
Effects of ectomycorrhizal (ECM) fungus Suillus tomentosus on water transport properties were studied in jack pine (Pinus banksiana) seedlings. The hydraulic conductivity of root cortical cells (L(pc)) and of the whole root system (L(pr)) in ECM plants was higher by twofold to fourfold compared with the non-ECM seedlings. HgCl2 had a greater inhibitory effect on L(pc) in ECM compared with non-ECM seedlings, suggesting that the mercury-sensitive, aquaporin (AQP)-mediated water transport was largely responsible for the differences in L(pc) between the two groups of plants. L(pc) was rapidly and drastically reduced by the 50 mM NaCl treatment. However, in ECM plants, the initial decline in L(pc) was followed by a quick recovery to the pre-treatment level, while the reduction of L(pc) in non-ECM seedlings progressed over time. Treatments with fluoride reduced L(pc) by about twofold in non-ECM seedlings and caused smaller reductions of L(pc) in ECM plants. When either 2 mM KF or 2 mM NaF were added to the 50 mM NaCl treatment solution, the inhibitory effect of NaCl on L(pc) was rapidly reversed in both groups of plants. The results suggest that AQP-mediated water transport may be linked to the enhancement of salt stress resistance reported for ECM plants.
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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) | 0.000 | 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".