4.7 Article

The H2O2-dependent activity of a fungal lytic polysaccharide monooxygenase investigated with a turbidimetric assay

期刊

BIOTECHNOLOGY FOR BIOFUELS
卷 13, 期 1, 页码 -

出版社

BMC
DOI: 10.1186/s13068-020-01673-4

关键词

Lytic polysaccharide monooxygenase; Cellobiose dehydrogenase; Glucose oxidase; Hydrogen peroxide; Cellulose; Neurospora crassa

资金

  1. Austrian Science Fund FWF [J4154, I2385-N28]
  2. ERC Consolidator Grant OXIDISE [726396]
  3. Czech Science Foundation [16-34818L]
  4. EU/MEYS [CZ.1.05/1.1.00.02.0109, LM2015043 CIISB]
  5. European Research Council (ERC) [726396] Funding Source: European Research Council (ERC)
  6. Austrian Science Fund (FWF) [J4154] Funding Source: Austrian Science Fund (FWF)

向作者/读者索取更多资源

Background Lytic polysaccharide monooxygenases (LPMOs) are copper-dependent redox enzymes that cleave recalcitrant biopolymers such as cellulose, chitin, starch and hemicelluloses. Although LPMOs receive ample interest in industry and academia, their reaction mechanism is not yet fully understood. Recent studies showed that H2O2 is a more efficient cosubstrate for the enzyme than O-2, which could greatly affect the utilization of LPMOs in industrial settings. Results We probe the reactivity of LPMO9C from the cellulose-degrading fungus Neurospora crassa with a turbidimetric assay using phosphoric acid-swollen cellulose (PASC) as substrate and H2O2 as a cosubstrate. The measurements were also followed by continuous electrochemical H2O2 detection and LPMO reaction products were analysed by mass spectrometry. Different systems for the in situ generation of H2O2 and for the reduction of LPMO's active-site copper were employed, including glucose oxidase, cellobiose dehydrogenase, and the routinely used reductant ascorbate. Conclusions We found for all systems that the supply of H2O2 limited LPMO's cellulose depolymerization activity, which supports the function of H2O2 as the relevant cosubstrate. The turbidimetric assay allowed rapid determination of LPMO activity on a cellulosic substrate without the need for time-consuming and instrumentally elaborate analysis methods.

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