Proteomic analysis of differentially expressed proteins in the roots of Columbia-0 and Landsberg <i>erecta</i> ecotypes of <i>Arabidopsis thaliana</i> in response to aluminum toxicity
Bibliographic record
Abstract
Karuppanapandian, T., Rhee, S.-J., Kim, E.-J., Han, B. K., Hoekenga, O. A. and Lee, G. P. 2012. Proteomic analysis of differentially expressed proteins in the roots of Columbia-0 and Landsberg erecta ecotypes of Arabidopsis thaliana in response to aluminum-toxicity. Can. J. Plant Sci. 92: 1267–1282. Aluminum (Al) is phytotoxic when solubilized into Al3+ in acidic soils and represents a major constraint for crop production. The present study describes Al-stress responses in roots of Al-tolerant and Al-sensitive Arabidopsis ecotypes, Columbia-0 (Col-0) and Landsberg erecta (Ler), respectively. Comparative proteomic analysis was applied to plants grown in hydroponic solution culture under acidic pH (4.2) conditions. To investigate time-dependent responses, 6-d-old seedlings were treated with 30 µM AlCl3 for 24, 48, or 72 h; total proteins were prepared from roots and separated by two-dimensional gel electrophoresis (2-DE). From 2-DE analysis, were 600 proteins were inspected, 29 proteins were differentially responsive to Al-treatment. The 2-DE patterns were compared and differentially expressed proteins identified by matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF-MS). Analysis of protein expression patterns revealed that a set of proteins is functionally associated with tricarboxylic acid (TCA) cycle and glycolysis, reactive oxygen quenching and detoxification mechanism, and signal transduction pathways, etc., could play important roles in mediating plant response to Al in Arabidopsis ecotypes. Comparison of the changes in the protein profiles revealed that Al-stress increased Al-tolerance related proteins in Al-tolerant Col-0, but only generic stress responses occurred in Al-sensitive Ler. Specifically, Al up-regulated proteins such as alcohol dehydrogenase, monodehydroascorbate reductase, GTP-binding nuclear protein Ran-2, and leucine aminopeptidase in Col-0 but not in Ler.
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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) | 0.001 | 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 | 0.001 |
| 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".