Proteome analysis of the normal and <i>Ogura</i> (<i>ogu</i>) CMS anthers of <i>Brassica napus</i> to identify proteins associated with male sterility
Bibliographic record
Abstract
In the Ogura (ogu) cytoplasmic male sterility (CMS) system in Brassica napus L., male sterility is caused by a defect in the mitochondrial gene and, under our growth conditions, stamens produced are carpelloid. We analyzed the proteome of ogu and normal anthers with the objective of identifying differentially expressed proteins and their potential roles in pollen development and male sterility. By using differential in-gel electrophoresis, we detected over 2300 spots on 2-D gels of normal and ogu anthers and of the 167 spots with 2-fold or higher expression, 120 were analyzed by MALDI-TOF/TOF mass spectrometry and 94 proteins were identified searching against NCBI and Brassica EST databases. Proteins up-regulated in normal anthers included those associated with carbohydrate and energy metabolism (e.g., fructose bisphosphatase, ATP synthase, malate dehydrogenase, and cytochrome c oxidase), cell wall remodeling (e.g., β-1,3-glucanase and pectinesterase), aldehyde dehydrogenase (ALDH), photosynthesis, and flavonoid synthesis. Proteases were identified in both the normal and ogu anthers, but a number of protease inhibitors were up-regulated in ogu anthers. The activities of ALDH and β-1,3-glucanase were also much higher in normal anthers by comparison with ogu anthers. This study documents the proteomic basis of mitochondrial–nuclear interaction in the control of ogu CMS in B. napus.
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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".