Stress Modulation As a Means to Improve Yeasts for Lignocellulose Bioconversion

Overview

Journal Appl Microbiol Biotechnol

Specialties Biomedical Engineering
Biotechnology
Microbiology

Date 2021 Jun 7

PMID 34097119

Citations 4

Authors

B A Brandt

T Jansen

H Volschenk

J F Gorgens

W H van Zyl

R Den Haan

Affiliations

Soon will be listed here.

Abstract

The second-generation (2G) fermentation environment for lignocellulose conversion presents unique challenges to the fermentative organism that do not necessarily exist in other industrial fermentations. While extreme osmotic, heat, and nutrient starvation stresses are observed in sugar- and starch-based fermentation environments, additional pre-treatment-derived inhibitor stress, potentially exacerbated by stresses such as pH and product tolerance, exist in the 2G environment. Furthermore, in a consolidated bioprocessing (CBP) context, the organism is also challenged to secrete enzymes that may themselves lead to unfolded protein response and other stresses. This review will discuss responses of the yeast Saccharomyces cerevisiae to 2G-specific stresses and stress modulation strategies that can be followed to improve yeasts for this application. We also explore published -omics data and discuss relevant rational engineering, reverse engineering, and adaptation strategies, with the view of identifying genes or alleles that will make positive contributions to the overall robustness of 2G industrial strains. KEYPOINTS: • Stress tolerance is a key driver to successful application of yeast strains in biorefineries. • A wealth of data regarding stress responses has been gained through omics studies. • Integration of this knowledge could inform engineering of fit for purpose strains.

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References

Adeboye P, Bettiga M, Olsson L . The chemical nature of phenolic compounds determines their toxicity and induces distinct physiological responses in Saccharomyces cerevisiae in lignocellulose hydrolysates. AMB Express. 2014; 4:46. PMC: 4052683. DOI: 10.1186/s13568-014-0046-7. View

Adeboye P, Bettiga M, Olsson L . ALD5, PAD1, ATF1 and ATF2 facilitate the catabolism of coniferyl aldehyde, ferulic acid and p-coumaric acid in Saccharomyces cerevisiae. Sci Rep. 2017; 7:42635. PMC: 5311992. DOI: 10.1038/srep42635. View

Aguilera F, Peinado R, Millan C, Ortega J, Mauricio J . Relationship between ethanol tolerance, H+ -ATPase activity and the lipid composition of the plasma membrane in different wine yeast strains. Int J Food Microbiol. 2006; 110(1):34-42. DOI: 10.1016/j.ijfoodmicro.2006.02.002. View

Allen S, Clark W, McCaffery J, Cai Z, Lanctot A, Slininger P . Furfural induces reactive oxygen species accumulation and cellular damage in Saccharomyces cerevisiae. Biotechnol Biofuels. 2010; 3:2. PMC: 2820483. DOI: 10.1186/1754-6834-3-2. View

Almario M, Reyes L, Kao K . Evolutionary engineering of Saccharomyces cerevisiae for enhanced tolerance to hydrolysates of lignocellulosic biomass. Biotechnol Bioeng. 2013; 110(10):2616-23. DOI: 10.1002/bit.24938. View

Almeida J, Bertilsson M, Gorwa-Grauslund M, Gorsich S, Liden G . Metabolic effects of furaldehydes and impacts on biotechnological processes. Appl Microbiol Biotechnol. 2009; 82(4):625-38. DOI: 10.1007/s00253-009-1875-1. View

Ask M, Bettiga M, Mapelli V, Olsson L . The influence of HMF and furfural on redox-balance and energy-state of xylose-utilizing Saccharomyces cerevisiae. Biotechnol Biofuels. 2013; 6(1):22. PMC: 3598934. DOI: 10.1186/1754-6834-6-22. View

Auesukaree C . Molecular mechanisms of the yeast adaptive response and tolerance to stresses encountered during ethanol fermentation. J Biosci Bioeng. 2017; 124(2):133-142. DOI: 10.1016/j.jbiosc.2017.03.009. View

Bai Y, Wang S, Zhong H, Yang Q, Zhang F, Zhuang Z . Integrative analyses reveal transcriptome-proteome correlation in biological pathways and secondary metabolism clusters in A. flavus in response to temperature. Sci Rep. 2015; 5:14582. PMC: 4586720. DOI: 10.1038/srep14582. View

10.

Bellissimi E, van Dijken J, Pronk J, van Maris A . Effects of acetic acid on the kinetics of xylose fermentation by an engineered, xylose-isomerase-based Saccharomyces cerevisiae strain. FEMS Yeast Res. 2009; 9(3):358-64. DOI: 10.1111/j.1567-1364.2009.00487.x. View

11.

Bianchi M, Crinelli R, Arbore V, Magnani M . Induction of () gene transcription is mediated by HSF1: role of proteotoxic and oxidative stress. FEBS Open Bio. 2018; 8(9):1471-1485. PMC: 6120222. DOI: 10.1002/2211-5463.12484. View

12.

Bubis J, Spasskaya D, Gorshkov V, Kjeldsen F, Kofanova A, Lekanov D . Rpn4 and proteasome-mediated yeast resistance to ethanol includes regulation of autophagy. Appl Microbiol Biotechnol. 2020; 104(9):4027-4041. DOI: 10.1007/s00253-020-10518-x. View

13.

Buccitelli C, Selbach M . mRNAs, proteins and the emerging principles of gene expression control. Nat Rev Genet. 2020; 21(10):630-644. DOI: 10.1038/s41576-020-0258-4. View

14.

Caspeta L, Chen Y, Ghiaci P, Feizi A, Buskov S, Hallstrom B . Biofuels. Altered sterol composition renders yeast thermotolerant. Science. 2014; 346(6205):75-8. DOI: 10.1126/science.1258137. View

15.

Cavka A, Stagge S, Jonsson L . Identification of Small Aliphatic Aldehydes in Pretreated Lignocellulosic Feedstocks and Evaluation of Their Inhibitory Effects on Yeast. J Agric Food Chem. 2015; 63(44):9747-54. DOI: 10.1021/acs.jafc.5b04803. View

16.

Claes A, Deparis Q, Foulquie-Moreno M, Thevelein J . Simultaneous secretion of seven lignocellulolytic enzymes by an industrial second-generation yeast strain enables efficient ethanol production from multiple polymeric substrates. Metab Eng. 2020; 59:131-141. DOI: 10.1016/j.ymben.2020.02.004. View

17.

Cripwell R, Rose S, Favaro L, van Zyl W . Construction of industrial strains for the efficient consolidated bioprocessing of raw starch. Biotechnol Biofuels. 2019; 12:201. PMC: 6701143. DOI: 10.1186/s13068-019-1541-5. View

18.

Cubillos F, Billi E, Zorgo E, Parts L, Fargier P, Omholt S . Assessing the complex architecture of polygenic traits in diverged yeast populations. Mol Ecol. 2011; 20(7):1401-13. DOI: 10.1111/j.1365-294X.2011.05005.x. View

19.

Cubillos F, Parts L, Salinas F, Bergstrom A, Scovacricchi E, Zia A . High-resolution mapping of complex traits with a four-parent advanced intercross yeast population. Genetics. 2013; 195(3):1141-55. PMC: 3813843. DOI: 10.1534/genetics.113.155515. View

20.

Cunha J, Romani A, Costa C, Sa-Correia I, Domingues L . Molecular and physiological basis of Saccharomyces cerevisiae tolerance to adverse lignocellulose-based process conditions. Appl Microbiol Biotechnol. 2018; 103(1):159-175. DOI: 10.1007/s00253-018-9478-3. View