title: Integrated analysis of seaweed components during seasonal fluctuation by data mining across heterogeneous chemical measurements with network visualization.
abstract: Biological information is intricately intertwined with several factors. Therefore, comprehensive analytical methods such as integrated data analysis, combining several data measurements, are required. In this study, we describe a method of data preprocessing that can perform comprehensively integrated analysis based on a variety of multimeasurement of organic and inorganic chemical data from Sargassum fusiforme and explore the concealed biological information by statistical analyses with integrated data. Chemical components including polar and semipolar metabolites, minerals, major elemental and isotopic ratio, and thermal decompositional data were measured as environmentally responsive biological data in the seasonal variation. The obtained spectral data of complex chemical components were preprocessed to isolate pure peaks by removing noise and separating overlapping signals using the multivariate curve resolution alternating least-squares method before integrated analyses. By the input of these preprocessed multimeasurement chemical data, principal component analysis and self-organizing maps of integrated data showed changes in the chemical compositions during the mature stage and identified trends in seasonal variation. Correlation network analysis revealed multiple relationships between organic and inorganic components. Moreover, in terms of the relationship between metal group and metabolites, the results of structural equation modeling suggest that the structure of alginic acid changes during the growth of S. fusiforme, which affects its metal binding ability. This integrated analytical approach using a variety of chemical data can be developed for practical applications to obtain new biochemical knowledge including genetic and environmental information.
authors.affiliation: Graduate School of Medical Life Science, Yokohama City University , 1-7-29 Suehirocho, Tsurumi-ku, Yokohama 230-0045, Japan.
authors.forename: Kengo
authors.initials: K
authors.lastname: Ito
authors.forename: Kenji
authors.initials: K
authors.lastname: Sakata
authors.forename: Yasuhiro
authors.initials: Y
authors.lastname: Date
authors.forename: Jun
authors.initials: J
authors.lastname: Kikuchi
mesh_terms: D000464:Alginates / Q000032:analysis* / Q000378:metabolism; D000465:Algorithms; D000535:Aluminum / Q000032:analysis; D057225:Data Mining; D004784:Environmental Monitoring; D020723:Glucuronic Acid / Q000032:analysis / Q000378:metabolism; D006603:Hexuronic Acids / Q000032:analysis / Q000378:metabolism; D007501:Iron / Q000032:analysis; D007564:Japan; D016018:Least-Squares Analysis; D009682:Magnetic Resonance Spectroscopy; D055442:Metabolome; D025341:Principal Component Analysis; D044647:Sargassum / Q000737:chemistry / Q000378:metabolism*; D012621:Seasons; D012624:Seaweed / Q000737:chemistry / Q000378:metabolism*; D017550:Spectroscopy, Fourier Transform Infrared; D014025:Titanium / Q000032:analysis
chemical_list: D000464:Alginates; D006603:Hexuronic Acids; D020723:Glucuronic Acid; D000535:Aluminum; D014025:Titanium; D007501:Iron