Ethanol Production and Maximum Cell Growth Are Highly Correlated with Membrane Lipid Composition during Fermentation as Determined by Lipidomic Analysis of 22 Saccharomyces cerevisiae Strains / (Record no. 45890)

000 -LEADER
fixed length control field 03403nma a2200301 4500
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 2013 eng
022 ## - INTERNATIONAL STANDARD SERIAL NUMBER
ISSN 1098-5336
040 ## - CATALOGING SOURCE
Transcribing agency Sonoma County Wine Library
041 ## -
-- eng
100 0# - MAIN ENTRY--PERSONAL NAME
Personal name Clark M. Henderson.
245 10 - TITLE STATEMENT
Title Ethanol Production and Maximum Cell Growth Are Highly Correlated with Membrane Lipid Composition during Fermentation as Determined by Lipidomic Analysis of 22 Saccharomyces cerevisiae Strains /
Statement of responsibility, etc by Clark M. Henderson.
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Name of publisher, distributor, etc American Society for Microbiology,
Date of publication, distribution, etc 2013.
300 ## - PHYSICAL DESCRIPTION
Type Journal article
490 0# - JOURNAL TITLE
Title of the journal Applied and Environmental Microbiology
520 ## - ABSTRACT
Abstract Optimizing ethanol yield during fermentation is important for efficient production of fuel alcohol, as well as wine and other alcoholic beverages. However, increasing ethanol concentrations during fermentation can create problems that result in arrested or sluggish sugar-to-ethanol conversion. The fundamental cellular basis for these problem fermentations, however, is not well understood. Small-scale fermentations were performed in a synthetic grape must using 22 industrial Saccharomyces cerevisiae strains (primarily wine strains) with various degrees of ethanol tolerance to assess the correlation between lipid composition and fermentation kinetic parameters. Lipids were extracted at several fermentation time points representing different growth phases of the yeast to quantitatively analyze phospholipids and ergosterol utilizing atmospheric pressure ionization-mass spectrometry methods. Lipid profiling of individual fermentations indicated that yeast lipid class profiles do not shift dramatically in composition over the course of fermentation. Multivariate statistical analysis of the data was performed using partial least-squares linear regression modeling to correlate lipid composition data with fermentation kinetic data. The results indicate a strong correlation (R2 = 0.91) between the overall lipid composition and the final ethanol concentration (wt/wt), an indicator of strain ethanol tolerance. One potential component of ethanol tolerance, the maximum yeast cell concentration, was also found to be a strong function of lipid composition (R2 = 0.97). Specifically, strains unable to complete fermentation were associated with high phosphatidylinositol levels early in fermentation. Yeast strains that achieved the highest cell densities and ethanol concentrations were positively correlated with phosphatidylcholine species similar to those known to decrease the perturbing effects of ethanol in model membrane systems.
700 0# - ADDED ENTRY-PERSONAL NAME
PERSONAL NAME David E. Block.
700 0# - ADDED ENTRY-PERSONAL NAME
PERSONAL NAME Vladimir Jiranek.
700 0# - ADDED ENTRY-PERSONAL NAME
PERSONAL NAME Michelle Lozada-Contreras.
700 0# - ADDED ENTRY-PERSONAL NAME
PERSONAL NAME Marjorie L. Longo.
710 2# - ADDED ENTRY-CORPORATE NAME
CORPORATE NAME dSchool of Agriculture, Food, and Wine, The University of Adelaide, Glen Osmond, South Australia, Australia.
710 2# - ADDED ENTRY-CORPORATE NAME
CORPORATE NAME aBiophysics Graduate Group.
710 2# - ADDED ENTRY-CORPORATE NAME
CORPORATE NAME bDepartment of Viticulture and Enology.
710 2# - ADDED ENTRY-CORPORATE NAME
CORPORATE NAME cDepartment of Chemical Engineering and Materials Science, University of California, Davis, California, USA.
773 0# - SOURCE JOURNAL
Journal title Applied and Environmental Microbiology.
Related parts (Vol.) 79. (No.) 1. 2013. (Pages.) 91-104.
Page numbers 91-104
Volume number 79
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URI http://aem.asm.org/content/79/1/91.abstract
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OAI set code AEM
OAI set name Applied and Environmental Microbiology
100 0# - MAIN ENTRY--PERSONAL NAME
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856 42 - ELECTRONIC LOCATION & ACCESS
-- Link to original article.

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