Proteomics

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Application of carbohydrate arrays coupled with mass spectrometry to detect activity of plant-polysaccharide degradative enzymes from the fungus Aspergillus niger


ABSTRACT: Renewables-based biotechnology depends on enzymes to degrade plant lignocellulose to simple sugars that are converted to fuels or high-value products. Identification and characterization of such lignocellulose degradative enzymes could be fast-tracked by availability of an enzyme activity measurement method that is fast, label-free, uses minimal resources and allows direct identification of generated products. We developed such a method by applying carbohydrate arrays coupled with MALDI-ToF mass spectrometry to identify reaction products of carbohydrate active enzymes (CAZymes) of the filamentous fungus Aspergillus niger. We describe the production and characterization of plant polysaccharide-derived oligosaccharides and their attachment to hydrophobic self-assembling monolayers on a gold target. We verify effectiveness of this array for detecting exo- and endo-acting glycoside hydrolase activity using commercial enzymes, and demonstrate how this platform is suitable for detection of enzyme activity in relevant biological samples, the culture filtrate of A. niger grown on wheat straw. In conclusion, this versatile method is broadly applicable in screening and characterisation of activity of CAZymes, such as fungal enzymes for plant lignocellulose degradation with relevance to biotechnological applications as biofuel production, the food and animal feed industry.

INSTRUMENT(S): LTQ Orbitrap Velos

ORGANISM(S): Aspergillus Niger

SUBMITTER: Jolanda van Munster  

LAB HEAD: David Archer

PROVIDER: PXD005699 | Pride | 2018-10-26

REPOSITORIES: Pride

Dataset's files

Source:
Action DRS
Sample_A.mgf Mgf
Sample_A.mzid.gz Mzid
Sample_A.pride.mgf.gz Mgf
Sample_A.pride.mztab.gz Mztab
Sample_A.raw Raw
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Publications

Application of carbohydrate arrays coupled with mass spectrometry to detect activity of plant-polysaccharide degradative enzymes from the fungus Aspergillus niger.

van Munster Jolanda M JM   Thomas Baptiste B   Riese Michel M   Davis Adrienne L AL   Gray Christopher J CJ   Archer David B DB   Flitsch Sabine L SL  

Scientific reports 20170221


Renewables-based biotechnology depends on enzymes to degrade plant lignocellulose to simple sugars that are converted to fuels or high-value products. Identification and characterization of such lignocellulose degradative enzymes could be fast-tracked by availability of an enzyme activity measurement method that is fast, label-free, uses minimal resources and allows direct identification of generated products. We developed such a method by applying carbohydrate arrays coupled with MALDI-ToF mass  ...[more]

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