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Fungal feruloyl esterases: Functional validation of genome mining based enzyme discovery including uncharacterized subfamilies

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

Research output: Contribution to journalArticleScientificpeer-review

Abstract

Feruloyl esterases (FAEs) are a diverse group of enzymes that specifically catalyze the hydrolysis of ester bonds between a hydroxycinnamic (e.g. ferulic) acid and plant poly- or oligosaccharides. FAEs as auxiliary enzymes significantly assist xylanolytic and pectinolytic enzymes in gaining access to their site of action during biomass saccharification for biofuel and biochemical production. A limited number of FAEs have been functionally characterized compared to over 1000 putative fungal FAEs that were recently predicted by similarity-based genome mining, which divided phylogenetically into different subfamilies (SFs). In this study, 27 putative and six characterized FAEs from both ascomycete and basidiomycete fungi were selected and heterologously expressed in Pichia pastoris and the recombinant proteins biochemically characterized to validate the previous genome mining and phylogenetical grouping and to expand the information on activity of fungal FAEs. As a result, 20 enzymes were shown to possess FAE activity, being active towards pNP-ferulate and/or methyl hydroxycinnamate substrates, and covering 11 subfamilies. Most of the new FAEs showed activities comparable to those of previously characterized fungal FAEs.
Original languageEnglish
Pages (from-to)9-14
JournalNew Biotechnology
Volume41
DOIs
Publication statusPublished - 25 Mar 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

  • Ferulic acid
  • Feruloyl esterase
  • Fungi
  • Genome mining
  • Plant cell wall

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