Phosphate or nitrate imbalance induces stronger molecular responses than combined nutrient deprivation in roots and leaves of chickpea plants
Bibliographic record
Abstract
Abstract The negative effects of phosphate (Pi) and/or nitrate (NO 3 − ) fertilizers on the environment have raised an urgent need to develop crop varieties with higher Pi and/or nitrogen use efficiencies for cultivation in low‐fertility soils. Achieving this goal depends upon research that focuses on the identification of genes involved in plant responses to Pi and/or NO 3 − starvation. Although plant responses to individual deficiency in either Pi (–Pi/+NO 3 − ) or NO 3 − (+Pi/–NO 3 − ) have been separately studied, our understanding of plant responses to combined Pi and NO 3 − deficiency (–Pi/–NO 3 − ) is still very limited. Using RNA‐sequencing approach, transcriptome changes in the roots and leaves of chickpea cultivated under –Pi/+NO 3 − , +Pi/–NO 3 − or –Pi/–NO 3 − conditions were investigated in a comparative manner. –Pi/–NO 3 − treatment displayed lesser effect on expression changes of genes related to Pi or NO 3 − transport, signalling networks, lipid remodelling, nitrogen and Pi scavenging/remobilization/recycling, carbon metabolism and hormone metabolism than –Pi/+NO 3 − or +Pi/–NO 3 − treatments. Therefore, the plant response to –Pi/–NO 3 − is not simply an additive result of plant responses to –Pi/+NO 3 − and +Pi/–NO 3 − treatments. Our results indicate that nutrient imbalance is a stronger stimulus for molecular reprogramming than an overall deficiency.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 teacher head, 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".