Rational and evolutionary engineering of Saccharomyces cerevisiae for production of dicarboxylic acids from lignocellulosic biomass and exploring genetic mechanisms of the yeast tolerance to the biomass hydrolysate
Journal article, 2022

Background: Lignosulfonates are significant wood chemicals with a $700 million market, produced by sulfite pulping of wood. During the pulping process, spent sulfite liquor (SSL) is generated, which in addition to lignosulfonates contains hemicellulose-derived sugars—in case of hardwoods primarily the pentose sugar xylose. The pentoses are currently underutilized. If they could be converted into value-added chemicals, overall economic profitability of the process would increase. SSLs are typically very inhibitory to microorganisms, which presents a challenge for a biotechnological process. The aim of the present work was to develop a robust yeast strain able to convert xylose in SSL to carboxylic acids. Results: The industrial strain Ethanol Red of the yeast Saccharomyces cerevisiae was engineered for efficient utilization of xylose in a Eucalyptus globulus lignosulfonate stream at low pH using CRISPR/Cas genome editing and adaptive laboratory evolution. The engineered strain grew in synthetic medium with xylose as sole carbon source with maximum specific growth rate (µmax) of 0.28 1/h. Selected evolved strains utilized all carbon sources in the SSL at pH 3.5 and grew with µmax between 0.05 and 0.1 1/h depending on a nitrogen source supplement. Putative genetic determinants of the increased tolerance to the SSL were revealed by whole genome sequencing of the evolved strains. In particular, four top-candidate genes (SNG1, FIT3, FZF1 and CBP3) were identified along with other gene candidates with predicted important roles, based on the type and distribution of the mutations across different strains and especially the best performing ones. The developed strains were further engineered for production of dicarboxylic acids (succinic and malic acid) via overexpression of the reductive branch of the tricarboxylic acid cycle (TCA). The production strain produced 0.2 mol and 0.12 mol of malic acid and succinic acid, respectively, per mol of xylose present in the SSL. Conclusions: The combined metabolic engineering and adaptive evolution approach provided a robust SSL-tolerant industrial strain that converts fermentable carbon content of the SSL feedstock into malic and succinic acids at low pH.in production yields reaching 0.1 mol and 0.065 mol per mol of total consumed carbon sources. Moreover, our work suggests potential genetic background of the tolerance to the SSL stream pointing out potential gene targets for improving the tolerance to inhibitory industrial feedstocks.

Dicarboxylic acids

Next generation sequencing

Hardwood spent sulfite liquor

Xylose

Industrial yeast

Biorefineries

Adaptive evolution

Author

Vratislav Stovicek

Technical University of Denmark (DTU)

Laura Dato

River Stone Biotech ApS

Technical University of Denmark (DTU)

Henrik Almqvist

Institutionen för Kemiteknik

Marie Schöpping

Chr. Hansen

Chalmers, Biology and Biological Engineering, Industrial Biotechnology

Institutionen för Kemiteknik

Ksenia Chekina

Technical University of Denmark (DTU)

Lasse Ebdrup Pedersen

Technical University of Denmark (DTU)

Anna Koza

Chr. Hansen

Technical University of Denmark (DTU)

Diogo Figueira

Biotrend S.A.

Freddy Tjosås

Borregaard ApS

Bruno Sommer Ferreira

Biotrend S.A.

J. Forster

Technical University of Denmark (DTU)

G. Liden

Institutionen för Kemiteknik

I. Borodina

Technical University of Denmark (DTU)

Biotechnology for Biofuels and Bioproducts

27313654 (eISSN)

Vol. 15 1 22

Subject Categories

Chemical Process Engineering

Microbiology

Biocatalysis and Enzyme Technology

DOI

10.1186/s13068-022-02121-1

PubMed

35219341

Related datasets

Additional file 3 of Rational and evolutionary engineering of Saccharomyces cerevisiae for production of dicarboxylic acids from lignocellulosic biomass and exploring genetic mechanisms of the yeast tolerance to the biomass hydrolysate [dataset]

DOI: 10.6084/m9.figshare.19243446

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