LIPIDOMIC ANALYSIS CAN DISTINGUISH BETWEEN TWO MORPHOLOGICALLY SIMILAR STRAINS OF NANNOCHLOROPSIS OCEANICA

作者:Li, Shuang; Xu, Jilin*; Jiang, Ying; Zhou, Chengxu; Yu, Xuejun; Zhong, Yingying; Chen, Juanjuan; Yan, Xiaojun
来源:Journal of Phycology, 2015, 51(2): 264-276.
DOI:10.1111/jpy.12271

摘要

The two morphologically similar microalgae NMBluh014 and NMBluh-X belong to two different strains of Nannochloropsis oceanica. They possess obviously different feeding effects on bivalves, but are indistinguishable by 18S rRNA and morphological features. In this work, lipidomic analysis followed by principal component analysis and orthogonal projections to latent structures discriminant analysis provided a clear distinction between these strains. Metabolites that definitively contribute to the classification were selected as potential biomarkers. The most important difference in polar lipids were sulfoquinovosyldiacylglycerol (containing 18: 1/16:0 and 18: 3/16:0) and monogalactosyldiacylglycerol (containing 18: 3/16: 3 and 20: 5/14:0), which were detected only in NMBluh-X. Additionally, an exhaustive qualitative and quantitative profiling of the neutral lipid triacylglycerol (TAG) in the two strains was carried out. The predominant species of TAG containing 16:1/16: 1/16:1 acyl groups was detected only in NMBluh-X with a content of similar to 93.67 +/- 11.85 nmol . mg(-1) dry algae at the onset of stationary phase. Meanwhile, TAG containing 16:0/16:0/16:0 was the main TAG in NMBluh014 with a content of 40.25 +/- 3.92 nmol . mg(-1). These results provided the most straightforward evidence for differentiating the two species. The metabolomic profiling indicated that NMBluh-X underwent significant chemical and physiological changes during the growth process, whereas NMBluh014 did not show such noticeable time-dependent metabolite change. This study is the first using Ultra Performance Liquid Chromatography coupled with Electrospray ionization-Quadrupole-Time of Flight Mass Spectrometry (UPLC-Q-TOF-MS) for lipidomic profiling with multivariate statistical analysis to explore lipidomic differences of plesiomorphous microalgae. Our results demonstrate that lipidomic profiling is a valid chemotaxonomic tool in the study of microalgal systematics.