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Characterization of a glucose tolerant beta-glucosidase from Aspergillus unguis with high potential as a blend-in for biomass hydrolyzing enzyme cocktails

Valappil, Prajeesh Kooloth and Rajasree, Kuni Parambil and Abraham, Amith and Christopher, Meera and Sukumaran, Rajeev K (2019) Characterization of a glucose tolerant beta-glucosidase from Aspergillus unguis with high potential as a blend-in for biomass hydrolyzing enzyme cocktails. In: BIOTECHNOLOGY LETTERS, 41 (10). pp. 1201-1211.

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Official URL: https://dx.doi.org/10.1007/s10529-019-02724-z

Abstract

Objectives Characterization of glucose tolerant beta glucosidase (GT-BGL) secreted by Aspergillus unguis NII 08123, determination of the gene and protein sequences of the enzyme and establishing its performance in blends for lignocellulose hydrolysis. Results Supplementation of A. unguis beta glucosidase (BGL) to cellulase released 1.6 times more sugar within 12 h during the hydrolysis of lignocellulosic biomass. The enzyme was determined to be similar to BGL-F from Emericella nidulans by MALDI-TOF analysis, and was found to be a GH3 family protein. Molecular Docking simulation studies showed that the enzyme has lesser affinity for glucose (- 5.7 kcal/mol) compared to its substrate cellobiose (- 7.5 kcal/mol). The residues present in the N-terminal domain are mostly involved in bond formation with both the substrate and the product, while the C-terminal domain contains the catalytic region. In-silico studies showed that its predicted structure is unlike that of previously reported BGLs, which might provide a clue to its exceptional catalytic activity. Conclusion The GT-BGL from A. unguis NII 08123 was proven effective as a blend in for biomass hydrolyzing enzyme cocktails and the possible reasons for its glucose tolerance was determined through studies on its modeled structure.

Item Type: Journal Article
Additional Information: copyright for this article belongs to SPRINGER
Keywords: beta-glucosidase; Glucose tolerant; Aspergillus unguis; Biomass hydrolysis; Genome; Homology model
Department/Centre: Division of Biological Sciences > Microbiology & Cell Biology
Depositing User: Id for Latest eprints
Date Deposited: 31 Oct 2019 07:59
Last Modified: 31 Oct 2019 07:59
URI: http://eprints.iisc.ac.in/id/eprint/63708

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