Fungal glucuronoyl esterases: Genome mining based enzyme discovery and biochemical characterization

Publication date

2018-01-25

Authors

Dilokpimol, Adiphol
Mäkelä, Miia R
Cerullo, Gabriella
Zhou, Miaomiao
Varriale, Simona
Gidijala, Loknath
Brás, Joana L A
Jütten, Peter
Piechot, Alexander
Verhaert, Raymond

Editors

Advisors

Supervisors

Document Type

Article
Open Access logo

License

taverne

Abstract

4-O-Methyl-d-glucuronic acid (MeGlcA) is a side-residue of glucuronoarabinoxylan and can form ester linkages to lignin, contributing significantly to the strength and rigidity of the plant cell wall. Glucuronoyl esterases (4-O-methyl-glucuronoyl methylesterases, GEs) can cleave this ester bond, and therefore may play a significant role as auxiliary enzymes in biomass saccharification for the production of biofuels and biochemicals. GEs belong to a relatively new family of carbohydrate esterases (CE15) in the CAZy database (www.cazy.org), and so far around ten fungal GEs have been characterized. To explore additional GE enzymes, we used a genome mining strategy. BLAST analysis with characterized GEs against approximately 250 publicly accessible fungal genomes identified more than 150 putative fungal GEs, which were classified into eight phylogenetic sub-groups. To validate the genome mining strategy, 21 selected GEs from both ascomycete and basidiomycete fungi were heterologously produced in Pichia pastoris. Of these enzymes, 18 were active against benzyl d-glucuronate demonstrating the suitability of our genome mining strategy for enzyme discovery.

Keywords

Computational Biology, Esterases/chemistry, Glucuronic Acid/chemistry, Molecular Conformation, Pichia/enzymology, Taverne

Citation

Dilokpimol, A, Mäkelä, M R, Cerullo, G, Zhou, M, Varriale, S, Gidijala, L, Brás, J L A, Jütten, P, Piechot, A, Verhaert, R, Faraco, V, Hilden, K S & de Vries, R P 2018, 'Fungal glucuronoyl esterases : Genome mining based enzyme discovery and biochemical characterization', New Biotechnology, vol. 40, no. Pt B, pp. 282-287. https://doi.org/10.1016/j.nbt.2017.10.003