Metabolite profiling of ascidian Styela plicata using LC-MS with multivariate statistical analysis and their antitumor activity.

ABSTRACT: To identify the metabolite distribution in ascidian, we have applied an integrated liquid chromatography- tandem mass spectrometry (LC-MS) metabolomics approach to explore and identify patterns in chemical diversity of invasive ascidian Styela plicata. A total of 71 metabolites were reported among these alkaloids, fatty acids and lipids are the most dominant chemical group. Multivariate statistical analysis, principal component analysis (PCA) showed a clear separation according to chemical diversity and taxonomic groups. PCA and partial least square discriminant analysis were applied to discriminate the chemical group of S. plicata crude compounds and classify the compounds with unknown biological activities. In this study, we reported for the first time that a partially purified methanol

SUBMITTER: Palanisamy SK 

PROVIDER: S-EPMC6010017 | biostudies-literature | 2017 Dec

REPOSITORIES: biostudies-literature