Cellobiose dehydrogenase from the agaricomycete Coprinellus aureogranulatus and its application for the synergistic conversion of rice straw
Autor: | Le Xuan Duy, Tran Thi Nhu Hang, Le Mai Huong, Enrico Büttner, Dang Thu Quynh, An Verberckmoes, Christiane Liers, Martin Hofrichter, Do Huu Nghi, Ludo Diels, Harald Kellner, Vu Dinh Giap |
---|---|
Rok vydání: | 2021 |
Předmět: |
EXPRESSION
Cellobiose dehydrogenase Technology and Engineering Synergetic conversion Coprinellus aureogranulatus Lignocellulosic biomass Cellulase Xylose Esterase General Biochemistry Genetics and Molecular Biology chemistry.chemical_compound SACCHARIFICATION Food science PURIFICATION biology Organic Chemistry Rice-straw degradation biology.organism_classification PICHIA-PASTORIS chemistry CELLULOSE biology.protein Xylanase Gluconic acid ESTERASE Lignocellulose |
Zdroj: | APPLIED BIOLOGICAL CHEMISTRY |
ISSN: | 2468-0842 2468-0834 |
DOI: | 10.1186/s13765-021-00637-y |
Popis: | From the biotechnological viewpoint, the enzymatic disintegration of plant lignocellulosic biomass is a promising goal since it would deliver fermentable sugars for the chemical sector. Cellobiose dehydrogenase (CDH) is a vital component of the extracellular lignocellulose-degrading enzyme system of fungi and has a great potential to improve catalyst efficiency for biomass processing. In the present study, a CDH from a newly isolated strain of the agaricomycete Coprinellus aureogranulatus (CauCDH) was successfully purified with a specific activity of 28.9 U mg−1. This pure enzyme (MW = 109 kDa, pI = 5.4) displayed the high oxidative activity towards β-1–4-linked oligosaccharides. Not least, CauCDH was used for the enzymatic degradation of rice straw without chemical pretreatment. As main metabolites, glucose (up to 165.18 ± 3.19 mg g−1), xylose (64.21 ± 1.22 mg g−1), and gluconic acid (5.17 ± 0.13 mg g−1) could be identified during the synergistic conversion of this raw material with the fungal hydrolases (e.g., esterase, cellulase, and xylanase) and further optimization by using an RSM statistical approach. |
Databáze: | OpenAIRE |
Externí odkaz: |