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Frontiers of Chemical Science and Engineering

ISSN 2095-0179

ISSN 2095-0187(Online)

CN 11-5981/TQ

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Front Chem Sci Eng    2012, Vol. 6 Issue (4) : 461-469    https://doi.org/10.1007/s11705-012-1223-3
RESEARCH ARTICLE
Comparative lipidomic analysis of S. cerevisiae cells during industrial bioethanol fermentation
Bin QIAO, Hong-Chi TIAN, Ying-Jin YUAN()
Key Laboratory of Systems Bioengineering (Ministry of Education), School of Chemical Engineering and Technology, Tianjin University, Tianjin 300072, China
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Abstract

Variations in the composition and level of phospholipids (PLs) in yeast cells during industrial ethanol fermentation processes were analyzed. A comparative lipidomic method was used to investigate the changes in total cellular PLs during continuous and fed-batch/batch processes. The phospholipid metabolism in yeast changed during both processes, mainly due to the presence of long-chain poly unsaturated fatty acids (PUFA) that contained phosphatidyglycerol (PG), phosphatidylethanolamine (PE) and phosphatidylserine (PS). The complexity of the media affected the growth of the yeast and the membrane composition. Yeast incorporated lots of exogenous saturated and PUFAs from the feedstock during the fermentations. During the continuous fermentation, there was an increase in PLs with shorter chains as the fermentation progressed and early in process there were more long-chains. During the fed-batch/batch process, the PG species increased as the fermentation progressed. This is probably due to an inositol deficiency in the earlier part of the fermentation.
Keywords lipidomics      systems biology      phospholipids      stirred-tank      saccharomyces cerevisiae      biorefinery engineering     
Corresponding Author(s): YUAN Ying-Jin,Email:yjyuan@tju.edu.cn   
Issue Date: 05 December 2012
 Cite this article:   
Bin QIAO,Hong-Chi TIAN,Ying-Jin YUAN. Comparative lipidomic analysis of S. cerevisiae cells during industrial bioethanol fermentation[J]. Front Chem Sci Eng, 2012, 6(4): 461-469.
 URL:  
https://academic.hep.com.cn/fcse/EN/10.1007/s11705-012-1223-3
https://academic.hep.com.cn/fcse/EN/Y2012/V6/I4/461
Fig.1  Biosynthetic pathway of phospholipids in eukaryotes (DAG, 1,2-diacylglycerol; CDP, cytidine diphosphate)
Fig.1  Biosynthetic pathway of phospholipids in eukaryotes (DAG, 1,2-diacylglycerol; CDP, cytidine diphosphate)
Fig.1  Biosynthetic pathway of phospholipids in eukaryotes (DAG, 1,2-diacylglycerol; CDP, cytidine diphosphate)
Fig.1  Biosynthetic pathway of phospholipids in eukaryotes (DAG, 1,2-diacylglycerol; CDP, cytidine diphosphate)
Fig.1  Biosynthetic pathway of phospholipids in eukaryotes (DAG, 1,2-diacylglycerol; CDP, cytidine diphosphate)
Fig.1  Biosynthetic pathway of phospholipids in eukaryotes (DAG, 1,2-diacylglycerol; CDP, cytidine diphosphate)
Fig.2  Changes of temperature (a) and viable cells (b) of during industrial continuous and fed-batch/batch fermentation
Fig.2  Changes of temperature (a) and viable cells (b) of during industrial continuous and fed-batch/batch fermentation
Fig.2  Changes of temperature (a) and viable cells (b) of during industrial continuous and fed-batch/batch fermentation
Fig.2  Changes of temperature (a) and viable cells (b) of during industrial continuous and fed-batch/batch fermentation
Fig.2  Changes of temperature (a) and viable cells (b) of during industrial continuous and fed-batch/batch fermentation
Fig.2  Changes of temperature (a) and viable cells (b) of during industrial continuous and fed-batch/batch fermentation
Continuous fermentationFed-batch fermentation
SGMFFFSGMFFF
PC31.38±3.4530.98±2.0427.77±1.1930.98±4.0228.65±2.0926.43±3.78
PI18.21±1.4118.43±1.4819.02±0.9820.09±2.5016.76±1.5418.56±2.09
PE19.58±2.1016.93±1.3416.14±1.5911.53±1.0114.98±1.4213.63±1.98
PA12.33±1.4012.21±0.7317.65±1.9021.52±1.9420.68±1.9920.50±1.44
PS10.51±1.3714.16±0.8410.22±1.926.15±0.876.93±0.736.59±0.96
PG7.99±0.867.30±0.639.19±1.319.72±1.1412.90±1.1414.29±1.94
Tab.1  Changes in cellular phospholipids during different fermentations
Fig.3  PLS-DA score plots of phospholipid profiles of from continuous and fed-batch/batch fermentation processes
Fig.3  PLS-DA score plots of phospholipid profiles of from continuous and fed-batch/batch fermentation processes
Fig.3  PLS-DA score plots of phospholipid profiles of from continuous and fed-batch/batch fermentation processes
Fig.3  PLS-DA score plots of phospholipid profiles of from continuous and fed-batch/batch fermentation processes
Fig.3  PLS-DA score plots of phospholipid profiles of from continuous and fed-batch/batch fermentation processes
Fig.3  PLS-DA score plots of phospholipid profiles of from continuous and fed-batch/batch fermentation processes
PL speciesVIPTrend a)PL speciesVIPTrendPL speciesVIPTrend
VLCFAPS 40 ∶ 21.9314↑PG 38 ∶ 62.1446↑PE 40 ∶ 31.339↓
PS 40 ∶ 11.0444↑PG 38 ∶ 52.2164↑PE 40 ∶ 21.5111↓
PS 38 ∶ 21.6319↑PG 37 ∶ 71.45↑
C18PS 36 ∶ 21.3688↑PC 36 ∶ 31.3877↑PE 36 ∶ 41.8594↑
PI 36 ∶ 41.3351↑PC 36 ∶ 21.1359↑PE 36 ∶ 32.1445↑
PI 36 ∶ 31.7631↑PA 36 ∶ 41.254↓
PI 36 ∶ 21.2894—PA 36 ∶ 31.1691↑
PI 36 ∶ 11.5235↓PA 36 ∶ 21.0067↑
C16PS 34 ∶ 21.1272—PC 34 ∶ 21.7845↓PE 34 ∶ 11.2003↑
PS 34 ∶ 12.2193↓PG 34 ∶ 21.478↓
PI 34 ∶ 21.5889↑PG 33 ∶ 61.5783↓
PG 32 ∶ 01.5754↓
Tab.2  Variations in relative abundance of potential biomarkers (VIP>1)
Fig.4  Variations of potential biomarkers in continuous and fed-batch/batch fermentation processes
Fig.4  Variations of potential biomarkers in continuous and fed-batch/batch fermentation processes
Fig.4  Variations of potential biomarkers in continuous and fed-batch/batch fermentation processes
Fig.4  Variations of potential biomarkers in continuous and fed-batch/batch fermentation processes
Fig.4  Variations of potential biomarkers in continuous and fed-batch/batch fermentation processes
Fig.4  Variations of potential biomarkers in continuous and fed-batch/batch fermentation processes
Fig.5  PLS-DA analysis scores plot of PL profiles of from continuous fermentation
Fig.5  PLS-DA analysis scores plot of PL profiles of from continuous fermentation
Fig.5  PLS-DA analysis scores plot of PL profiles of from continuous fermentation
Fig.5  PLS-DA analysis scores plot of PL profiles of from continuous fermentation
Fig.5  PLS-DA analysis scores plot of PL profiles of from continuous fermentation
Fig.5  PLS-DA analysis scores plot of PL profiles of from continuous fermentation
Fig.6  Variations in potential biomarkers at different phases in continuous fermentation.
Fig.6  Variations in potential biomarkers at different phases in continuous fermentation.
Fig.6  Variations in potential biomarkers at different phases in continuous fermentation.
Fig.6  Variations in potential biomarkers at different phases in continuous fermentation.
Fig.6  Variations in potential biomarkers at different phases in continuous fermentation.
Fig.6  Variations in potential biomarkers at different phases in continuous fermentation.
Fig.7  PLS-DA analysis scores plot of PL profiles of from fed-batch/batch fermentation
Fig.7  PLS-DA analysis scores plot of PL profiles of from fed-batch/batch fermentation
Fig.7  PLS-DA analysis scores plot of PL profiles of from fed-batch/batch fermentation
Fig.7  PLS-DA analysis scores plot of PL profiles of from fed-batch/batch fermentation
Fig.7  PLS-DA analysis scores plot of PL profiles of from fed-batch/batch fermentation
Fig.7  PLS-DA analysis scores plot of PL profiles of from fed-batch/batch fermentation
Fig.8  Variations of potential biomarkers at different phases in fed-batch/batch fermentation
Fig.8  Variations of potential biomarkers at different phases in fed-batch/batch fermentation
Fig.8  Variations of potential biomarkers at different phases in fed-batch/batch fermentation
Fig.8  Variations of potential biomarkers at different phases in fed-batch/batch fermentation
Fig.8  Variations of potential biomarkers at different phases in fed-batch/batch fermentation
Fig.8  Variations of potential biomarkers at different phases in fed-batch/batch fermentation
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