Synergism of Recombinant <i>Podospora anserina</i> <i>Pa</i>AA9B with Cellulases Containing AA9s Can Boost the Enzymatic Hydrolysis of Cellulosic Substrates
Bibliographic record
Abstract
To achieve a fast and efficient cellulose hydrolysis with low enzyme loading remains a challenge for an economically feasible biomass biorefinery process. The synergism between cellulase and lytic polysaccharide monooxygenases (LPMOs) has demonstrated great promise, but it appears that such synergistic effects are highly substrate-dependent. In addition, the need for an efficient method of LPMO production has also limited its application. In this study, the production of Podospora anserina AA9B ( Pa AA9B), one of the most active LPMOs, was optimized by using double-plasmid coexpression in Pichia pastoris, and its hydrolysis-boosting effects on cellulases were assessed on model cellulosic materials and on our in-house-optimized atmospheric glycerol organosolv (AGO)-pretreated lignocellulosic substrates. The results showed that the double-plasmid coexpression technique successfully improved the Pa AA9B production, where up to three times more Pa AA9B (3.34 g L –1 ) was expressed in the 5 L bioreactor after 4 days of induction. The addition of recombinant Pa AA9B to Cellic CTec2 (CTec2) significantly boosted the cellulose hydrolysis of a filter paper and Avicel by 2.3- and 1.4-folds, respectively, while no effects were observed on carboxymethyl cellulose (CMC). When lignocellulosic substrates were assessed, the Pa AA9B also successfully enhanced the cellulose hydrolysis of both acid-catalyzed (ac) and alkali-catalyzed (al) AGO-pretreated sugarcane bagasses by 30 and 20%, respectively, at a 5% solid loading (w/v). At industrially relevant high-solid loading (20% w/v) hydrolysis of an al-AGO-pretreated substrate, the combination of 1.0 mg of Pa AA9B and 3 FPU of cellulase per gram of substrate achieved 83% cellulose hydrolysis with 105 g L –1 of the corresponding glucose concentration after 72 h. These results indicated that the double-plasmid coexpression strategy is viable for the high-yield Pa AA9B production. The mixture of Pa AA9B and cellulase enzymes containing other AA9s exhibited a strong cosynergistic interaction and further boosted the enzymatic hydrolysis of both model cellulosic substrates and our optimized AGO-pretreated lignocellulosic biomass with industrially relevant enzyme loading. This study sheds light on the industrially relevant Pa AA9B utilization in the enzymatic hydrolysis of lignocellulosic substrates.
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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) | 0.001 | 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".