Overexpression of Nicotiana tabacum PIP1;3 enhances root aeration and oxygen metabolism in canola (Brassica napus) plants exposed to root hypoxia
Bibliographic record
Abstract
High mortality and reduced growth due to root hypoxia are commonly observed in plants impacted by flooding or soil compaction. Since earlier research suggested that Nicotiana tabacum PIP1 ; 3 may facilitate cell-to-cell oxygen transport, we overexpressed NtPIP1;3 in canola ( Brassica napus ) and studied the effects on growth, physiological parameters, root oxygen concentrations, and energy metabolism in plants subjected to waterlogging. Compared with wild-type plants (WT), the waterlogged plants overexpressing NtPIP1 ; 3 (OE) maintained higher dry biomass, gas exchange, root hydraulic conductivity, root oxygen concentrations, leaf water potentials, root respiration rates, and root ATP concentrations. Metabolic profiling revealed that overexpressing plants responded to root hypoxia by altering the glycolysis, pyruvate metabolism, and TCA cycle in roots. Moreover, the differences in expression patterns of RAP2.12 , RAP2.2 , PCO1 , and PCO2 in WT and OE canola plants exposed to root hypoxia point to increased oxygen supply to OE roots, which was confirmed by direct measurements of root O 2 concentrations. Our results demonstrate that the overexpression of NtPIP1 ; 3 affected plant responses to hypoxia by enhancing their aerobic metabolism and strengthened the notion that some of the plant aquaporins may facilitate oxygen transport. • We overexpressed tobacco NtPIP1 ; 3 aquaporin in canola and studied the effects on waterlogging tolerance and root oxygen concentrations. • Compared with wild-type plants, overexpression plants maintained higher root oxygen and ATP concentrations, and showed greater resistance to waterlogging. • Metabolic profiling confirmed that overexpression plants maintained higher levels of aerobic metabolism compared with wild-type plants. • Results strengthen the notion that some of the plant aquaporins may facilitate oxygen transport.
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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".