PSX-15 Screening recombinant fibrolytic enzymes for improved ruminal fiber degradability of barley straw.
Bibliographic record
Abstract
The objective of this study was to screen new recombinant fibrolytic enzymes for their ability to increase ruminal fiber degradability of barley straw using a series of rumen in vitro techniques [high-throughput in vitro micro assay, in vitro batch cultures, and Rumen Simulation Technique (RUSITEC)]. Eleven different recombinant enzymes in combination with a mixture of rumen enzymes were compared with rumen enzymes alone in a micro assay. Based on 20% greater glucose + xylose release than rumen enzymes alone; one endoglucanase [EGL7A, from Glycoside Hydrolase family (GH) 7], two xylanases (XYL10A and XYL10C, from GH10), and a recombinant enzyme mixture were selected for further assessment. In batch cultures, enzymes were applied at two dosages (100 and 500 μg of protein per g of barley straw DM). Rumen in vitro batch cultures were conducted as a completely randomized design with three runs. All enzymes increased (P < 0.05) dry matter (DM) disappearance and total volatile fatty acid (VFA) production in batch cultures, but the mixture of recombinant enzymes was not superior to the use of a single recombinant enzyme. Three enzymes (EGL7A_THITE, XYL10A and XYL10C) were selected and applied to barley straw at 500 μg protein per g for further assessment in RUSITEC fed a (300:700 g/kg DM) concentrate:barley straw diet. A completely randomized block design was used with 4 treatments (3 enzyme treatments and a control) assigned to sixteen vessels (4/treatment) in two RUSITEC systems. XYL10A increased (P < 0.05) barley straw DM disappearance (2.6%), while EGL7A and XYL10C had no effect. Enzymes selected based on the high throughput in vitro micro assay consistently increased barley straw degradation in ruminal batch cultures, but not in the semi-continuous culture RUSITEC system. Further in vivo studies are needed to evaluate the effect of XYL10A in ruminants fed a straw-based diet. Key Words:
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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 | 0.000 |
| 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".