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

  • Adiphol Dilokpimol
  • , Miia R. Mäkelä
  • , Gabriella Cerullo
  • , Miaomiao Zhou
  • , Simona Varriale
  • , Loknath Gidijala
  • , Joana L A Brás
  • , Peter Jütten
  • , Alexander Piechot
  • , Raymond Verhaert
  • , Vincenza Faraco
  • , Kristiina S. Hildén*
  • , Ronald P de Vries*
  • *Corresponding author for this work
  • Utrecht University
  • University of Helsinki
  • University of Naples Federico II
  • Utrecht University of Applied Sciences
  • ProteoNic B.V.
  • NZYTech B.V.
  • Taros Chemicals GmbH & Co KG

Research output: Contribution to journalArticleScientificpeer-review

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.

Original languageEnglish
Pages (from-to)282-287
JournalNew Biotechnology
Volume40
Issue numberPt B
DOIs
Publication statusPublished - 25 Jan 2018
MoE publication typeA1 Journal article-refereed

Funding

This work was supported by the European Union, Grant agreement no: 613868 (OPTIBIOCAT).

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • Fungi
  • Genome mining
  • Glucuronic acid
  • Glucuronoyl esterase
  • Plant cell wall

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