Quantitative DIA-based proteomics unveils ribosomal biogenesis pathways associated with increased final size in three-year-old Chinese mitten crab (Eriocheir sinensis)
Bibliographic record
Abstract
BACKGROUND: Temperature is a key determinant of ectotherms distribution and growth. During the Eriocheir sinensis breeding process, it was observed that crabs in high latitudes and altitude areas with low temperatures undergo diapause, they would overwinter and continue to grow into three-year-old individuals, whose final body size is significantly larger than the normal two-year-old crabs. The hepatopancreas is responsible for maintaining the nutritional balance and energy required for the crab survival. In this study, we aimed to compare the hepatopancreatic proteomic data between three-year-old and two-year-old crabs and clarify the relationship between genes and the final body size phenotype. RESULTS: The analysis revealed that differentially expressed proteins were predominantly enriched in essential cellular processes such as ribosome, ribosome biogenesis, RNA degradation, proteasome, mRNA surveillance pathway, and RNA biogenesis. Increasing ribosome usage for protein biosynthesis was found to enhance the crab tolerance to low temperatures and extend their growth period. Simultaneously, the ubiquitin-proteasome pathway was primarily regulated to enhance the degradation of misfolded proteins induced by low temperatures, thus alleviating damage and ultimately resulting in a larger final size for the three-year-old crabs. CONCLUSION: This study provides insights into how low temperatures contribute to individual body size differences and regulate the life cycle, providing a basis for the future artificial breeding of E. sinensis.
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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".