<i>Pc</i> GCE is a potent elicitor of defense responses in aspen
Bibliographic record
Abstract
Abstract Using microbial enzymes in transgenesis is a powerful means to introduce new functionalities in plants. Glucuronoyl esterase (GCE) is a microbial enzyme hydrolyzing the ester bond between lignin and 4- O -methyl-α-D-glucuronic acid present as a side chain of glucuronoxylan. This bond mediates lignin-carbohydrate complex (LCC) formation, considered as crucial factor of lignocellulose recalcitrance to saccharification. Previous studies showed that hybrid aspen ( Populus tremula L. x tremuloides Michx.) constitutively expressing Phanerochaete carnosa Burt GCE ( Pc GCE) had better efficiency of cellulose-to-glucose conversion but were stunned and had lower cellulose content indicating that more studies are needed to design strategy for deployment of this enzyme in planta . Here we report that the transgenic plants exhibit premature leaf senescence, increased accumulation of calcium oxalate crystals, tyloses and necrotic lesions and have strongly activated immune defense reactions as revealed by their altered profiles of transcriptomes, metabolomes and hormones in the leaves. To elucidate if these effects are triggered by damage-associated molecular patterns (DAMPs) or by Pc GCE protein perceived as a pathogen-associated molecular pattern (PAMP), we ectopically expressed in aspen an enzymatically inactive Pc GCE S217A . The mutated Pc GCE induced similar growth retardation, leaf necrosis and premature senescence as the active one, providing evidence that Pc GCE protein is recognized as PAMP. Transcriptomics analysis of young expanding leaves of 35S:PcGCE plants identified several candidates for receptors of Pc GCE, which were not expressed in developing wood tissues. Grafting experiments showed that Pc GCE transcripts are not cell-to-cell mobile and that PcGCE expressing leaves augment systemic responses. In agreement, expressing Pc GCE in developing wood by using the wood-specific promoter (WP), avoided all off-target effects. Moreover, WP:PcGCE lines grew better than control plants providing evidence that this strategy can be used in transgenic crops dedicated for biorefinery.
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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 | 0.001 |
| 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".