Manipulating lignin deposition
Bibliographic record
Abstract
Schuetz, M., Douglas, C., Samuels, L. and Ellis, B. 2014. Manipulating lignin deposition. Can. J. Plant Sci. 94: 1043–1049. Since lignin represents one of most durable forms of fixed carbon in plant biomass, we hypothesized that increasing root lignin content for crops whose root systems remained in the soil after harvest would elevate the total amount of carbon retained in the soil in Canadian agroecosystems. The immediate goal of this Greencrop project was, therefore, to gain a better understanding of the molecular mechanisms that control deposition of the lignin polymer in plant cell walls, with a view to eventually manipulating the quantity and location of lignin in crop plant root systems. To this end, we examined two classes of Arabidopsis thaliana proteins – transcription factors, which are believed to play crucial roles in regulating lignin biosynthesis, and ATP binding cassette transporters, which are putative lignin precursor transporters. These studies revealed that a complex network of interacting transcriptional regulators is involved in activating and suppressing the expression of key genes required for secondary cell wall deposition and lignification.
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 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 | 0.000 |
| 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) | 0.000 | 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".