Comprehensive Proteomic Profiling of the Brassica carinata and Triticale Mature Stigma and Pollen
Bibliographic record
Abstract
Plant sexual reproduction commences with the interaction of the mature stigma (the receptive portion of the female reproductive organ) and the mature pollen (the male gametophyte).Proteins present at their mature developmental stages are therefore likely to reflect their upcoming reproductive roles.In this study, gel-free shotgun proteomics was used to investigate the proteomes of the mature stigma and pollen grain in two species that are highly related to Canada's most important crops.We identified 7703 and 5608 Brassica carinata stigma and pollen proteins, and 11533 and 2977 triticale stigma and pollen proteins, respectively.These represent the largest Brassicaceae and Triticeae pollen and stigma proteome datasets to date.In addition, this is the first comparative analysis of developing stigmas, and it was performed using isobaric tag for relative and absolute quantification (iTRAQ).There were 251 B. carinata proteins found to be differentially abundant during stigma maturation with 154 proteins that had increased abundance, while 97 decreased in abundance.For triticale, 647 differentially abundant stigma proteins were identified with 305 and 342 proteins increasing and decreasing in abundance respectively.A comparison of the B. carinata and triticale stigma or pollen proteomes suggested considerable functional conservation between the two species despite their very different morphology.Although the proteomes exhibited similar functional enrichment trends, both species displayed significant differences between their pollen and stigma proteomes, which reflected their functional specialization.Altogether, the results of this study represent an invaluable resource for the further study of pollen and stigma iii development and interactions, and will potentially facilitate our understanding of plant reproduction in other members of the Brassicaceae (e.g.B. napus, B. oleracea, B. rapa) and Triticeae (wheat, barley, rye).iv
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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 | 0.001 | 0.001 |
| 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".