| Literature DB >> 30894609 |
Clelton A Santos1,2, Mariana A B Morais3, Oliver M Terrett2, Jan J Lyczakowski2,4,5, Letícia M Zanphorlin3, Jaire A Ferreira-Filho1, Celisa C C Tonoli6, Mario T Murakami3, Paul Dupree2,4,5, Anete P Souza7,8.
Abstract
β-glucosidases play a critical role among the enzymes in enzymatic cocktails designed for plant biomass deconstruction. By catalysing the breakdown of β-1, 4-glycosidic linkages, β-glucosidases produce free fermentable glucose and alleviate the inhibition of other cellulases by cellobiose during saccharification. Despite this benefit, most characterised fungal β-glucosidases show weak activity at high glucose concentrations, limiting enzymatic hydrolysis of plant biomass in industrial settings. In this study, structural analyses combined with site-directed mutagenesis efficiently improved the functional properties of a GH1 β-glucosidase highly expressed by Trichoderma harzianum (ThBgl) under biomass degradation conditions. The tailored enzyme displayed high glucose tolerance levels, confirming that glucose tolerance can be achieved by the substitution of two amino acids that act as gatekeepers, changing active-site accessibility and preventing product inhibition. Furthermore, the enhanced efficiency of the engineered enzyme in terms of the amount of glucose released and ethanol yield was confirmed by saccharification and simultaneous saccharification and fermentation experiments using a wide range of plant biomass feedstocks. Our results not only experimentally confirm the structural basis of glucose tolerance in GH1 β-glucosidases but also demonstrate a strategy to improve technologies for bioethanol production based on enzymatic hydrolysis.Entities:
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Year: 2019 PMID: 30894609 PMCID: PMC6426972 DOI: 10.1038/s41598-019-41300-3
Source DB: PubMed Journal: Sci Rep ISSN: 2045-2322 Impact factor: 4.379
Data collection and refinement statistics of ThBgl-Mut (Leu167Trp/Pro172Leu).
| Data collection | |
|---|---|
| Space group | |
| Cell dimensions | |
| a, b, c (Å) | 91.61, 96.21, 96.45 |
| Molecules per AUa | 2 |
| Resolution (Å) | 48.22 – 2.2 |
| Observed reflections | 253,768 (25,032) |
| Unique reflections | 43,877 (4,310) |
| CC1/2b | 0.99 (0.45) |
| I/σI | 9.74 (1.17) |
| Completeness (%) | 99.87 (99.61) |
| R-meas | 0.164 |
| R-merge | 0.149 (1.491) |
| Multiplicity | 5.8 (5.8) |
|
| |
| Resolution (Å) | 48.22 – 2.2 |
| No. reflections | 43,852 |
| Rwork/Rfree | 0.178/0.221 |
| No. protein residues | 929 |
| B-factor (Å2) | |
| Average | 44.80 |
| Macromolecules | 44.90 |
| Ligands | 59.00 |
| Solvent | 38.80 |
| Root mean square deviations | |
| Bond lengths (Å) | 0.006 |
| Bond angles (°) | 0.79 |
| Ramachandran Plot | |
| Favored (%) | 96 |
| Outliers (%) | 0.11 |
| MolProbity clashscore | 2.79 |
| PDB code | 6EFU |
Values in parentheses are for the highest-resolution shell. aAU: asymmetric unit; bCC1/2: correlation between intensities from random half-datasets[37].
Figure 1Effect of glucose on ThBgl-WT and ThBgl-Mut activities. Plots are the mean average of the relative activity of independent triplicates, and the error bars represent the standard deviations.
Figure 2Structural comparison between ThBgl-WT and ThBgl-Mut. (a) Cartoon representation of ThBgl-WT (orange) and ThBgl-Mut (green), highlighting the predicted catalytic residues (sticks). N- and C-termini are indicated. (b) Enlarged view of amino acid residues from subsite -1, predicted to be important for catalysis[11]. (c) Surface representation of ThBgl-WT and ThBgl-Mut (d) highlighting the subsite -1 region represented in (b) with dashed lines and the active-site topology in light purple. The mutated residues (P172L and L167W) are labelled in red. Additionally, the positive-subsite delimiting residue W338 is represented as sticks.
Figure 3The engineered ThBgl-Mut active-site topology is similar to that of the glucose-tolerant HiBgl. (a) Surface representation of the ThBgl-WT (a) active-site topology, highlighting the conserved residue W338 and the mutated P172 and L167 residues. In ThBgl-Mut (b), these last two residues were replaced by L172 and W167, resulting in an active-site topology similar to that of HiBgl (c). The +1 subsite region is indicated by gray dashed lines. The estimated measures are an approximated average distance between the active-site extremities represented here.
Figure 4Comparative analysis of the performances of ThBgl-WT and ThBgl-Mut enzymes in laboratory-scale biomass saccharification assays. Saccharification assays were performed using ball-milled biomass material derived from (a) sugarcane steam-exploded bagasse, (b) sugarcane pith, (c) pine and (d) birch. Glucose release was quantified using a commercial kit. The detailed procedure is described in the ‘Methods’ section. Error bars indicate standard errors of the mean from triplicate experiments. All differences in sugar release between ThBgl-WT and ThBgl-Mut were statistically significant at a p-value ≤ 0.01.
Figure 5Bioethanol production and analysis of the cello-oligosaccharides generates by ThBgl-WT and ThBgl-Mut activities. The ethanol concentration after 96 h of SSF was measured (a) for ThBgl-WT or ThBgl-Mut in the presence of CBHI and endocellulase or (b) of only endocellulase. Ethanol yields were standardised using readings from a control fermentation reaction with only CBHI and endocellulase enzymes (Supplementary Table S1). (c) 10% PACE gel of sugarcane bagasse saccharification products generated by ThBgl-WT and ThBgl-Mut in the presence of endocellulase. Sugarcane bagasse digested using only endocellulase or in the absence of enzymes is also shown. A cello-oligosaccharide (Cello)1 – 6 ladder is shown on the left. Under these standard conditions, glucose (Glc) and cellobiose (Cello2) closely comigrate in the PACE. High-and low-contrast (exposure) gels are shown in Supplementary Fig. S7. (d) Glucose released from sugarcane bagasse saccharification performed using ThBgl-WT or ThBgl-Mut and endoglucanase. Error bars represent the standard deviation of triplicate experiments, *p-value ≤ 0.05; **p-value ≤ 0.01.