Literature DB >> 35314324

Data mining of Saccharomyces cerevisiae mutants engineered for increased tolerance towards inhibitors in lignocellulosic hydrolysates.

Elena Cámara1, Lisbeth Olsson2, Jan Zrimec3, Aleksej Zelezniak4, Cecilia Geijer5, Yvonne Nygård6.   

Abstract

The use of renewable plant biomass, lignocellulose, to produce biofuels and biochemicals using microbial cell factories plays a fundamental role in the future bioeconomy. The development of cell factories capable of efficiently fermenting complex biomass streams will improve the cost-effectiveness of microbial conversion processes. At present, inhibitory compounds found in hydrolysates of lignocellulosic biomass substantially influence the performance of a cell factory and the economic feasibility of lignocellulosic biofuels and chemicals. Here, we present and statistically analyze data on Saccharomyces cerevisiae mutants engineered for altered tolerance towards the most common inhibitors found in lignocellulosic hydrolysates: acetic acid, formic acid, furans, and phenolic compounds. We collected data from 7971 experiments including single overexpression or deletion of 3955 unique genes. The mutants included in the analysis had been shown to display increased or decreased tolerance to individual inhibitors or combinations of inhibitors found in lignocellulosic hydrolysates. Moreover, the data included mutants grown on synthetic hydrolysates, in which inhibitors were added at concentrations that mimicked those of lignocellulosic hydrolysates. Genetic engineering aimed at improving inhibitor or hydrolysate tolerance was shown to alter the specific growth rate or length of the lag phase, cell viability, and vitality, block fermentation, and decrease product yield. Different aspects of strain engineering aimed at improving hydrolysate tolerance, such as choice of strain and experimental set-up are discussed and put in relation to their biological relevance. While successful genetic engineering is often strain and condition dependent, we highlight the conserved role of regulators, transporters, and detoxifying enzymes in inhibitor tolerance. The compiled meta-analysis can guide future engineering attempts and aid the development of more efficient cell factories for the conversion of lignocellulosic biomass.
Copyright © 2022 The Authors. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Acetic acid; Lignocellulosic biomass; Metabolic engineering; Robustness; Screening; Strain improvement; Systems biology; Yeast

Mesh:

Substances:

Year:  2022        PMID: 35314324     DOI: 10.1016/j.biotechadv.2022.107947

Source DB:  PubMed          Journal:  Biotechnol Adv        ISSN: 0734-9750            Impact factor:   14.227


  4 in total

1.  Improving Lipid Production of Yarrowia lipolytica by the Aldehyde Dehydrogenase-Mediated Furfural Detoxification.

Authors:  Jiwon Kim; Hyeoncheol Francis Son; Sungmin Hwang; Gyeongtaek Gong; Ja Kyong Ko; Youngsoon Um; Sung Ok Han; Sun-Mi Lee
Journal:  Int J Mol Sci       Date:  2022-04-26       Impact factor: 6.208

2.  Harnessing originally robust yeast for rapid lactic acid bioproduction without detoxification and neutralization.

Authors:  Radityo Pangestu; Prihardi Kahar; Lutfi Nia Kholida; Urip Perwitasari; Ahmad Thontowi; Puspita Lisdiyanti; Chiaki Ogino; Bambang Prasetya; Akihiko Kondo
Journal:  Sci Rep       Date:  2022-08-11       Impact factor: 4.996

Review 3.  Exploring Yeast Diversity to Produce Lipid-Based Biofuels from Agro-Forestry and Industrial Organic Residues.

Authors:  Marta N Mota; Paula Múgica; Isabel Sá-Correia
Journal:  J Fungi (Basel)       Date:  2022-06-29

4.  Identification of acetic acid sensitive strains through biosensor-based screening of a Saccharomyces cerevisiae CRISPRi library.

Authors:  Maurizio Mormino; Ibai Lenitz; Verena Siewers; Yvonne Nygård
Journal:  Microb Cell Fact       Date:  2022-10-15       Impact factor: 6.352

  4 in total

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