Impact of temperature on the expression of Kennedy Pathway genes in developing soybean seeds
Bibliographic record
Abstract
McNaughton, A. J. M., Shelp, B. J. and Rajcan, I. 2015. Impact of temperature on the expression of Kennedy Pathway genes in developing soybean seeds. Can. J. Plant Sci. 95: 87–101. The main oil storage molecule, triacylglycerol (TAG), can be created by the Kennedy Pathway. The objective of this study was to determine the impact of growing temperature on the expression of the Kennedy Pathway genes, glycerol-3-phosphate acyltransferase (G3PAT), lysophosphatidic acid acyltransferase (LPAAT), and diacylglycerol acyltransferase 1 (DGAT1), in developing seed of four soybean genotypes with altered fatty acid composition using quantitative polymerase chain reaction. The three growing temperatures were: high, 30°C day/25°C night; normal, 25°C day/20°C night; and low, 20°C day/15°C night. The expression of G3PAT steadily declined following 15 d after flowering (DAF), suggesting that it is likely to be more highly expressed earlier in development than was measured in the study. As a result, the expression of G3PAT did not correspond to fatty acid accumulation. LPAAT expression coincided with accumulation of oleic acid (18:1∆ 9 ) and linolenic acid (18:3∆ 9,12,15 ) in a temperature-dependent manner. The expression of DGAT1 corresponded to accumulation of linoleic acid (18:2∆ 9,12 ), which varied among the soybean genotypes, indicating a genotypic effect on the expression of DGAT1. This study suggests that the expression of the acyltransferase enzymes of the Kennedy Pathway influences the fatty acid composition in seed of four altered fatty acid soybean genotypes.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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 teacher head, 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".