These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


Pubmed for Handhelds

PUBMED FOR HANDHELDS

Search MEDLINE/PubMed

  • Title: Integrated phospholipidomics and transcriptomics analysis of Saccharomyces cerevisiae with enhanced tolerance to a mixture of acetic acid, furfural, and phenol.
    Author: Yang J, Ding MZ, Li BZ, Liu ZL, Wang X, Yuan YJ.
    Journal: OMICS; 2012; 16(7-8):374-86. PubMed ID: 22734833.
    Abstract:
    A mixture of acetic acid, furfural, and phenol (AFP), three representative lignocellulose-derived inhibitors, significantly inhibited the growth and bioethanol production of Saccharomyces cerevisiae. In order to uncover the mechanisms behind the enhanced tolerance of an inhibitor-tolerant S. cerevisiae strain (T), we measured the plasma membrane properties, which significantly influence cellular adaptation to inhibitors, of T strain and its parental strain (P) with and without AFP treatment. We integrated data obtained from multi-statistics-assisted phospholipidomics and parallel transcriptomics by using LC-tandem MS and microarray analysis. With the AFP treatment, the transcriptional changes of fatty acid metabolic genes showed a strong correlation with the increase of fatty-acyl-chain length of phosphatidylcholine (PC) and phosphatidylinositol (PI). This suggests a possible compensatory mechanism to cope with the increase of plasma membrane permeability and fluidity in both strains. Moreover, the absence of phosphatidylserine (PS) and phosphatidylethanolamine (PE) species from the most variable phospholipid species group was a discriminative feature of the T strain. This resulted from the decrease of CHO1 and increase of CHO2 levels of the T strain upon AFP treatment. These novel findings reveal that the coordinated transcription and phospholipid composition changes contribute to the increased robustness of the T strain and highlight potential metabolic engineering targets for mutants with higher tolerance.
    [Abstract] [Full Text] [Related] [New Search]