Literature DB >> 33771787

Lipid Composition Analysis Reveals Mechanisms of Ethanol Tolerance in the Model Yeast Saccharomyces cerevisiae.

M Lairón-Peris1, S J Routledge2, J A Linney2, J Alonso-Del-Real1, C M Spickett2, A R Pitt2,3, J M Guillamón1, E Barrio1,4, A D Goddard2, A Querol1.   

Abstract

Saccharomyces cerevisiae is an important unicellular yeast species within the biotechnological and the food and beverage industries. A significant application of this species is the production of ethanol, where concentrations are limited by cellular toxicity, often at the level of the cell membrane. Here, we characterize 61 S. cerevisiae strains for ethanol tolerance and further analyze five representatives with various ethanol tolerances. The most tolerant strain, AJ4, was dominant in coculture at 0 and 10% ethanol. Unexpectedly, although it does not have the highest noninhibitory concentration or MIC, MY29 was the dominant strain in coculture at 6% ethanol, which may be linked to differences in its basal lipidome. Although relatively few lipidomic differences were observed between strains, a significantly higher phosphatidylethanolamine concentration was observed in the least tolerant strain, MY26, at 0 and 6% ethanol compared to the other strains that became more similar at 10%, indicating potential involvement of this lipid with ethanol sensitivity. Our findings reveal that AJ4 is best able to adapt its membrane to become more fluid in the presence of ethanol and that lipid extracts from AJ4 also form the most permeable membranes. Furthermore, MY26 is least able to modulate fluidity in response to ethanol, and membranes formed from extracted lipids are least leaky at physiological ethanol concentrations. Overall, these results reveal a potential mechanism of ethanol tolerance and suggest a limited set of membrane compositions that diverse yeast species use to achieve this. IMPORTANCE Many microbial processes are not implemented at the industrial level because the product yield is poorer and more expensive than can be achieved by chemical synthesis. It is well established that microbes show stress responses during bioprocessing, and one reason for poor product output from cell factories is production conditions that are ultimately toxic to the cells. During fermentative processes, yeast cells encounter culture media with a high sugar content, which is later transformed into high ethanol concentrations. Thus, ethanol toxicity is one of the major stresses in traditional and more recent biotechnological processes. We have performed a multilayer phenotypic and lipidomic characterization of a large number of industrial and environmental strains of Saccharomyces to identify key resistant and nonresistant isolates for future applications.

Entities:  

Keywords:  Saccharomyces cerevisiae; ethanol; membrane properties

Year:  2021        PMID: 33771787      PMCID: PMC8174666          DOI: 10.1128/AEM.00440-21

Source DB:  PubMed          Journal:  Appl Environ Microbiol        ISSN: 0099-2240            Impact factor:   4.792


  60 in total

1.  Susceptibility testing: accurate and reproducible minimum inhibitory concentration (MIC) and non-inhibitory concentration (NIC) values.

Authors:  R J Lambert; J Pearson
Journal:  J Appl Microbiol       Date:  2000-05       Impact factor: 3.772

2.  Influence of ethanol on lipid/sterol membranes: phase diagram construction from AFM imaging.

Authors:  Juan M Vanegas; Roland Faller; Marjorie L Longo
Journal:  Langmuir       Date:  2010-07-06       Impact factor: 3.882

3.  Computational models reveal genotype-phenotype associations in Saccharomyces cerevisiae.

Authors:  Ricardo Franco-Duarte; Inês Mendes; Lan Umek; João Drumonde-Neves; Blaz Zupan; Dorit Schuller
Journal:  Yeast       Date:  2014-05-26       Impact factor: 3.239

4.  Identification of oxidized phospholipids by electrospray ionization mass spectrometry and LC-MS using a QQLIT instrument.

Authors:  Corinne M Spickett; Ana Reis; Andrew R Pitt
Journal:  Free Radic Biol Med       Date:  2011-09-16       Impact factor: 7.376

5.  Relationship between lipid composition, frequency of ethanol-induced respiratory deficient mutants, and ethanol tolerance in Saccharomyces cerevisiae.

Authors:  Z Chi; N Arneborg
Journal:  J Appl Microbiol       Date:  1999-06       Impact factor: 3.772

Review 6.  How lipids affect the activities of integral membrane proteins.

Authors:  Anthony G Lee
Journal:  Biochim Biophys Acta       Date:  2004-11-03

7.  Alcohols dehydrate lipid membranes: an infrared study on hydrogen bonding.

Authors:  J S Chiou; P R Krishna; H Kamaya; I Ueda
Journal:  Biochim Biophys Acta       Date:  1992-10-05

8.  Bax expression protects yeast plasma membrane against ethanol-induced permeabilization.

Authors:  Esther Marza; Nadine Camougrand; Stéphen Manon
Journal:  FEBS Lett       Date:  2002-06-19       Impact factor: 4.124

9.  Population genomics of domestic and wild yeasts.

Authors:  Gianni Liti; David M Carter; Alan M Moses; Jonas Warringer; Leopold Parts; Stephen A James; Robert P Davey; Ian N Roberts; Austin Burt; Vassiliki Koufopanou; Isheng J Tsai; Casey M Bergman; Douda Bensasson; Michael J T O'Kelly; Alexander van Oudenaarden; David B H Barton; Elizabeth Bailes; Alex N Nguyen; Matthew Jones; Michael A Quail; Ian Goodhead; Sarah Sims; Frances Smith; Anders Blomberg; Richard Durbin; Edward J Louis
Journal:  Nature       Date:  2009-02-11       Impact factor: 49.962

10.  Co-Flocculation of Yeast Species, a New Mechanism to Govern Population Dynamics in Microbial Ecosystems.

Authors:  Debra Rossouw; Bahareh Bagheri; Mathabatha Evodia Setati; Florian Franz Bauer
Journal:  PLoS One       Date:  2015-08-28       Impact factor: 3.240

View more
  1 in total

Review 1.  Past, Present, and Future Perspectives on Whey as a Promising Feedstock for Bioethanol Production by Yeast.

Authors:  Jing Zou; Xuedong Chang
Journal:  J Fungi (Basel)       Date:  2022-04-12
  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.