YMR152W from Saccharomyces cerevisiae encoding a novel aldehyde reductase for detoxification of aldehydes derived from lignocellulosic biomass.

Aldehyde reductase Lignocellulosic biomass Medium-chain dehydrogenase/reductase Saccharomyces cerevisiae YMR152W

Journal

Journal of bioscience and bioengineering
ISSN: 1347-4421
Titre abrégé: J Biosci Bioeng
Pays: Japan
ID NLM: 100888800

Informations de publication

Date de publication:
Jan 2021
Historique:
received: 17 06 2020
revised: 12 08 2020
accepted: 04 09 2020
pubmed: 25 9 2020
medline: 8 1 2021
entrez: 24 9 2020
Statut: ppublish

Résumé

Aldehydes are the main inhibitors generated during the pretreatment of lignocellulosic biomass, which can inhibit cell growth and disturb subsequent fermentation. Saccharomyces cerevisiae has the intrinsic ability to in situ detoxify aldehydes to their less toxic or nontoxic alcohols by numerous aldehyde dehydrogenases/reductases during the lag phase. Herein, we report that an uncharacterized open reading frame YMR152W from S. cerevisiae encodes a novel aldehyde reductase with catalytic functions for reduction of at least six aldehydes, including two furan aldehydes (furfural and 5-hydroxymethylfurfural), three aliphatic aldehydes (acetaldehyde, glycolaldehyde, and 3-methylbutanal), and an aromatic aldehyde (benzaldehyde) with NADH or NADPH as the co-factor. Particularly, Ymr152wp displayed the highest specific activity (190.86 U/mg), and the best catalytic rate constant (K

Identifiants

pubmed: 32967812
pii: S1389-1723(20)30336-4
doi: 10.1016/j.jbiosc.2020.09.004
pii:
doi:

Substances chimiques

Aldehydes 0
lignocellulose 11132-73-3
Lignin 9005-53-2
Aldehyde Reductase EC 1.1.1.21

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

39-46

Informations de copyright

Copyright © 2020 The Society for Biotechnology, Japan. Published by Elsevier B.V. All rights reserved.

Auteurs

Yidan Ouyang (Y)

Institute of Resources and Geographic Information Technology, College of Resources, Sichuan Agricultural University, Wenjiang, Chengdu, Sichuan 611130, PR China.

Qian Li (Q)

Institute of Resources and Geographic Information Technology, College of Resources, Sichuan Agricultural University, Wenjiang, Chengdu, Sichuan 611130, PR China.

Xiaolin Kuang (X)

Institute of Resources and Geographic Information Technology, College of Resources, Sichuan Agricultural University, Wenjiang, Chengdu, Sichuan 611130, PR China.

Hanyu Wang (H)

Institute of Resources and Geographic Information Technology, College of Resources, Sichuan Agricultural University, Wenjiang, Chengdu, Sichuan 611130, PR China.

Jinjian Wu (J)

Institute of Resources and Geographic Information Technology, College of Resources, Sichuan Agricultural University, Wenjiang, Chengdu, Sichuan 611130, PR China.

Ellen Ayepa (E)

Institute of Resources and Geographic Information Technology, College of Resources, Sichuan Agricultural University, Wenjiang, Chengdu, Sichuan 611130, PR China.

Huan Chen (H)

Institute of Resources and Geographic Information Technology, College of Resources, Sichuan Agricultural University, Wenjiang, Chengdu, Sichuan 611130, PR China.

Getachew Tafere Abrha (GT)

Institute of Resources and Geographic Information Technology, College of Resources, Sichuan Agricultural University, Wenjiang, Chengdu, Sichuan 611130, PR China.

Zhengyue Zhang (Z)

Institute of Resources and Geographic Information Technology, College of Resources, Sichuan Agricultural University, Wenjiang, Chengdu, Sichuan 611130, PR China.

Xi Li (X)

College of Landscape Architecture, Sichuan Agricultural University, Wenjiang, Chengdu, Sichuan 611130, PR China.

Menggen Ma (M)

Institute of Resources and Geographic Information Technology, College of Resources, Sichuan Agricultural University, Wenjiang, Chengdu, Sichuan 611130, PR China; Department of Applied Microbiology, College of Resources, Sichuan Agricultural University, Wenjiang, Chengdu, Sichuan 611130, PR China. Electronic address: mgen@sicau.edu.cn.

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Classifications MeSH