Next Article in Journal
Stoichiometry Based Steady-State Hepatic Flux Analysis: Computational and Experimental Aspects
Next Article in Special Issue
Metabolomic and Lipidomic Analysis of the Heart of Peroxisome Proliferator-Activated Receptor-γ Coactivator 1-β Knock Out Mice on a High Fat Diet
Previous Article in Journal
Human Metabolic Network: Reconstruction, Simulation, and Applications in Systems Biology
Previous Article in Special Issue
Shotgun Lipidomics by Sequential Precursor Ion Fragmentation on a Hybrid Quadrupole Time-of-Flight Mass Spectrometer
Article Menu

Export Article

Open AccessArticle
Metabolites 2012, 2(1), 254-267; doi:10.3390/metabo2010254

Comparative Lipidomic Profiling of S. cerevisiae and Four Other Hemiascomycetous Yeasts

Leibniz-Institut für Analytische Wissenschaften-ISAS-e.V., Otto-Hahn-Str. 6b, D-44227 Dortmund, Germany
Current address: Bayer CropScience AG, BCS AG-D-EnSa-EFate (Environmental Fate), Alfred-Nobel-Str. 50, D-40789 Monheim am Rhein, Germany.
Current address: Department of Food Chemistry, University of Wuppertal, Gaußstr. 20, D-42119 Wuppertal, Germany.
*
Author to whom correspondence should be addressed.
Received: 19 January 2012 / Revised: 23 February 2012 / Accepted: 24 February 2012 / Published: 2 March 2012
(This article belongs to the Special Issue Lipidomics)
View Full-Text   |   Download PDF [528 KB, uploaded 2 March 2012]   |  

Abstract

Glycerophospholipids (GP) are the building blocks of cellular membranes and play essential roles in cell compartmentation, membrane fluidity or apoptosis. In addition, GPs are sources for multifunctional second messengers. Whereas the genome and proteome of the most intensively studied eukaryotic model organism, the baker’s yeast (Saccharomyces cerevisiae), are well characterized, the analysis of its lipid composition is still at the beginning. Moreover, different yeast species can be distinguished on the DNA, RNA and protein level, but it is currently unknown if they can also be differentiated by determination of their GP pattern. Therefore, the GP compositions of five different yeast strains, grown under identical environmental conditions, were elucidated using high performance liquid chromatography coupled to negative electrospray ionization-hybrid linear ion trap-Fourier transform ion cyclotron resonance mass spectrometry in single and multistage mode. Using this approach, relative quantification of more than 100 molecular species belonging to nine GP classes was achieved. The comparative lipidomic profiling of Saccharomyces cerevisiae, Saccharomyces bayanus, Kluyveromyces thermotolerans, Pichia angusta, and Yarrowia lipolytica revealed characteristic GP profiles for each strain. However, genetically related yeast strains show similarities in their GP compositions, e.g., Saccharomyces cerevisiae and Saccharomyces bayanus. View Full-Text
Keywords: yeast strains; Saccharomyces cerevisiae; Saccharomyces bayanus; Kluyveromyces thermotolerans; Pichia angusta; Yarrowia lipolytica; glycerophospholipid profiling; LC-MS; lipidomics yeast strains; Saccharomyces cerevisiae; Saccharomyces bayanus; Kluyveromyces thermotolerans; Pichia angusta; Yarrowia lipolytica; glycerophospholipid profiling; LC-MS; lipidomics
Figures

This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

Supplementary material

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Hein, E.-M.; Hayen, H. Comparative Lipidomic Profiling of S. cerevisiae and Four Other Hemiascomycetous Yeasts. Metabolites 2012, 2, 254-267.

Show more citation formats Show less citations formats

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Metabolites EISSN 2218-1989 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top