Global gene expression and secondary metabolite changes in <i>Arabidopsis thaliana ABI4</i> over-expression lines
Bibliographic record
Abstract
Despite numerous studies on ABI4, its role in plant secondary metabolism has not been fully investigated. Here, we used metabolite profiling together with transcriptome analysis to demonstrate that ABI4 transcript levels regulate a host of secondary metabolite pathways and growth modalities in ABI4 over-expression (ABI4_OE) lines of Arabidopsis thaliana. This strategy provided a unique and comprehensive overview of the regulation of metabolic shifts in response to ABI4 transcription. We show that enhancement of ABI4 transcript levels changed seed proanthocyanidin (PA), flavonoid, and carotenoid levels in ABI4_OE seeds and 30-day-old shoots, as well as the expression of genes encoding enzymes involved in the production of these and other secondary metabolites in ABI4_OE shoots. In seeds, PA accumulated in very large uneven patches, which was dramatically different from the even distribution of PA in wild-type seeds. Shoots of ABI4_OE lines also exhibited altered expression of a range of genes involved in several aspects of plant development, including hormone and cell-wall synthesis. Alteration of such disparate secondary metabolite pathways, along with hormone and developmental pathways, suggests that ABI4 is a master regulator integrating these compounds with plant development.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".