Differential expression analysis of soybean pod tissue between Canadian environments identifies differences in sulfur-containing amino acid-related gene expression
Bibliographic record
Abstract
Soybean seeds are rich in oil and protein; however, the seed composition is influenced by genotype and environment. For years, it has been observed that soybeans grown in western Canada have lower seed protein concentration (by ∼1%-5% total seed weight) than those grown in eastern Canada. In this study, soybean seeds harvested from five varieties were grown in four different locations in Canada (east and west growing regions) and analyzed using RNA-sequencing. Using gene ontology and biological pathway mapping, we identified a difference in cysteine and methionine metabolism between soybeans grown in eastern and western Canada that may attribute to the difference in seed protein concentration. Further, we identified differential gene expression within the oil biosynthesis pathway, specifically upregulation of lipoxygenases in western-grown soybeans, which may also influence seed composition and/or membrane fluidity. The information gained in this study is useful for marker assisted selection in soybean breeding programs across Canada and globally.
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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 | 0.001 | 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".