The role of glycosyltransferase 61 and BAHD genes in determining ferulate & para-coumarate content of the cell walls of the Poaceae
Bibliographic record
Abstract
Lignocellulosic biomass, composed largely of plant cell walls, of economically important cereal crops is remarkably recalcitrant to digestion, both in second generation biofuel production and ruminant nutrition applications. Ferulic acid (FA) esterified to arabinoxylan (AX) forms oxidatively linked dimers and oligomers which cross-link polysaccharide chains. FA is also a nucleation site for lignin formation. These cross-links are major inhibitors of enzymatic digestion, and therefore FA is a key target for improving the digestibility of grass cell walls. Also, para coumaric acid (pCA) esterified to AX may be involved in the polymerisation of lignin. Despite the importance of cell wall bound hydroxycinnamic acids, many of the genes and enzymes responsible for the esterification of pCA and FA to AX remain to be elucidated. The BAHD and glycosyltransferase (GT)61 gene families have previously been identified as likely to be involved in the process (Mitchell et al., 2007). Here, the role of candidate genes within the BAHD and GT61 families in pCA and FA esterification to AX is investigated in the model organism Brachypodium distachyon (Brachypodium). Jasmonic acid induced large increases in cell wall-esterified pCA, and moderate increases in FA and FA dimer in Brachypodium callus, accompanied by up-regulation of genes within the BAHD and GT61 families. Furthermore, transformation of Brachypodium with RNAi constructs designed to knock-down expression of paralogues BdGT61.9p1 and BdGT61.9p2 resulted in decreased cell wall-esterified FA. Overexpression of BdGT61.9p1 in Brachypodium resulted in a small increase in the 8-8-coupled FA dimer. These findings complemented the existing body of evidence for the involvement of genes within the BAHD and GT61 families in hydroxycinnamic acid esterification to AX.
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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".