Linking hydrolysis performance to Trichoderma reesei cellulolytic enzyme profile
Artikel i vetenskaplig tidskrift, 2016

Trichoderma reesei expresses a large number of enzymes involved in lignocellulose hydrolysis and the mechanism of how these enzymes work together is too complex to study by traditional methods, for example, by spiking with single enzymes and monitoring hydrolysis performance. In this study, a multivariate approach, partial least squares regression, was used to see whether it could help explain the correlation between enzyme profile and hydrolysis performance. Diverse enzyme mixtures were produced by T. reesei Rut-C30 by exploiting various fermentation conditions and used for hydrolysis of washed pretreated corn stover as a measure of enzyme performance. In addition, the enzyme mixtures were analyzed by liquid chromatography-tandem mass spectrometry to identify and quantify the different proteins. A multivariate model was applied for the prediction of enzyme performance based on the combination of different proteins present in an enzyme mixture. The multivariate model was used for identification of candidate proteins that are correlated to enzyme performance on pretreated corn stover. A very large variation in hydrolysis performance was observed and this was clearly caused by the difference in fermentation conditions. Besides β-glucosidase, the multivariate model identified several xylanases, Cip1 and Cip2, as relevant proteins to study further.

Liquid chromatography-tandem mass spectrometry

Cellulase

Mathematical modeling

Proteomics

Trichoderma reesei

Författare

L. Lehmann

Novozymes AS

Danmarks Tekniske Universitet

N.P. Rønnest

Novo Nordisk AS

Danmarks Tekniske Universitet

C.I. Jørgensen

Novozymes AS

Lisbeth Olsson

Wallenberg Wood Science Center (WWSC)

Chalmers, Biologi och bioteknik, Industriell bioteknik

S.M. Stocks

Novozymes AS

H.S. Jørgensen

Novozymes AS

T. Hobley

Danmarks Tekniske Universitet

Biotechnology and Bioengineering

0006-3592 (ISSN) 1097-0290 (eISSN)

Vol. 113 1001-1010

Drivkrafter

Hållbar utveckling

Styrkeområden

Energi

Ämneskategorier

Bioenergi

Biokatalys och enzymteknik

DOI

10.1002/bit.25871