Journal
ANALYTICAL LETTERS
Volume 45, Issue 10, Pages 1172-1183Publisher
TAYLOR & FRANCIS INC
DOI: 10.1080/00032719.2012.673094
Keywords
Biomarker; Chlamydomonas nivalis; Fatty acids; Gas chromatography/mass spectrometry; Multivariate statistical analysis; Salt stress
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Funding
- NSFC Project [20876058]
- Major State Basic Research Development Program of China (973 Project) [2011CB200904, 2011CB200901]
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The snow alga Chlamydomonas nivalis is a model species of microalgae for the investigation of cell response mechanism and adaptation ability in natural habitats in polar regions and similar extreme environments. The alteration of fatty acids in cellular lipids is known to play a vital role for cell survival and reproduction under various stress conditions. In the present work, an integrated approach of gas chromatography/mass spectrometry (GC/MS) coupled with multivariate statistical analysis was developed to investigate the fatty acid profiles and identify the biomarkers in response to NaCl stress. The data of fatty acid profiles between the control and NaCl-stress group was classified by orthogonal projection on latent structure discriminant analysis (OPLS-DA) and hierarchical cluster analysis (HCA); six of fatty acids (C16:0, C16:3, C18:0, C18:1, C18:2, and C18:3) were identified as biomarkers. These biomarkers showed a regulatory role by decreasing the degree of lipid unsaturation (DLU), providing an expected function in reducing membrane fluidity and permeability for enhancing the tolerance to higher salinity. This is the first report to demonstrate the fatty acid biomarkers in microalgae as the physiological regulators corresponding to the response and adaptation to NaCl stress based on an integrated approach at the lipidomic level.
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