Bibliographic record
Abstract
Soybean isoflavonoids (isoFLVs) are natural secondary componds produced in Phenylpropanol metabolism Pathway. In past ten years, the isoFLVs were proved with anti-cancer activity to human health and therefore intensively included in nowadays food industry. However, the low content in natural soybean germplasm is a major limit to be weed in desired population. Herein we report that expression patterns of 18 362 genes were monitored by using Microarray between 30 to 70 days after pollination (DAP) during the soybean seed development. The expression profile of CHS8 and IFS2 revealed by both Microarray and RT-PCR indicated these two genes may play critical roles in determination of the accumulation of isoFLV in soybean seeds. According to Agrobacterium rhizogenes transformation system, over-expression of individuals of CHS8 and IFS2 resulted in 65.9% and 34.4% isoFLV increase respectively, but not significant in Duncan’s multiple test at the 0.05 probability level. However, co-expression of CHS8+ IFS2 significantly increased (P0.0001) the isoFLV content up to 82.3% when comparing to non-transgenic control. Conclusively, both IFS2 and CHS8 gene co-determine the accumulation of isoFLV in soybean.
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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".