A highly efficient recombinant laccase from the yeast Yarrowia lipolytica and its application in the hydrolysis of biomass

PLoS One. 2015 Mar 17;10(3):e0120156. doi: 10.1371/journal.pone.0120156. eCollection 2015.

Abstract

A modified thermal asymmetric interlaced polymerase chain reaction was performed to obtain the first yeast laccase gene (YlLac) from the isolated yeast Yarrowia lipolytica. The 1557-bp full-length cDNA of YlLac encoded a mature laccase protein containing 519 amino acids preceded by a signal peptide of 19 amino acids, and the YlLac gene was expressed in the yeast Pichia pastoris. YlLac is a monomeric glycoprotein with a molecular mass of ~55 kDa as determined by polyacrylamide-gel electrophoresis. It showed a higher catalytic efficiency towards 2,2-azino-bis(3-ethylbenzothiazoline-6-sulfonate) (kcat/Km = 17.5 s(-1) μM(-1)) and 2,6-dimethoxyphenol (kcat/Km = 16.1 s(-1) μM(-1)) than other reported laccases. The standard redox potential of the T1 site of the enzyme was found to be 772 mV. The highest catalytic efficiency of the yeast recombinant laccase, YlLac, makes it a good candidate for industrial applications: it removes phenolic compounds in acid-pretreated woody biomass (Populus balsamifera) and enhanced saccharification.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Biomass*
  • Fungal Proteins / chemistry*
  • Fungal Proteins / genetics
  • Hydrolysis
  • Laccase / chemistry*
  • Laccase / genetics
  • Pichia / genetics
  • Pichia / metabolism
  • Populus / chemistry*
  • Recombinant Proteins / chemistry
  • Recombinant Proteins / genetics
  • Wood / chemistry*
  • Yarrowia / enzymology*
  • Yarrowia / genetics

Substances

  • Fungal Proteins
  • Recombinant Proteins
  • Laccase

Grants and funding

This work was supported by the Energy Efficiency & Resources Core Technology Program of the Korea Institute of Energy Technology Evaluation and Planning (KETEP), granted financial resource from the Ministry of Trade, Industry & Energy, Republic of Korea (201320200000420). This research was also supported by a grant from the Intelligent Synthetic Biology Center of Global Frontier Project (2011-0031955) funded by the Ministry of Science, ICT and Future Planning, Republic of Korea. This work was supported by 2013 KU Brain Pool fellowship of Konkuk University. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.