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Innovative metabolomic workflows to study growth kinetics dinoflagellate cysts revived from modern and ancient sediments

Authors :
Mondeguer, Florence
Souard, Florence
Guitton, Yann
Allard, Pierre-marie
Elie, Nicolas
Sibat, Manoella
Latimier, Marie
Quere, Julien
Wolfender, Jean-luc
Siano, Raffaele
Hess, Philipp
Mondeguer, Florence
Souard, Florence
Guitton, Yann
Allard, Pierre-marie
Elie, Nicolas
Sibat, Manoella
Latimier, Marie
Quere, Julien
Wolfender, Jean-luc
Siano, Raffaele
Hess, Philipp
Publication Year :
2018

Abstract

Aquatic ecosystems worldwide have been negatively affected by eutrophication, many of them driven by increasing nutrient inputs from untreated domestic sewage and industrial and agricultural wastewater. During their life cycle, Alexandrium minutum and Scrippsiella donghaienis can produce resistant and revivable cysts that can accumulate in the sediments of the coastal marine environment for hundreds of years. As a working hypothesis, we presumed that these two genera have preserved their adaptation to such ecosystem changes in the form of cysts in the old sediments. From revivified cysts, some cultures of toxic and non-toxic dinoflagellates (A. minutum and S. donghaienis) were analyzed by a metabolomic approach to study the possible adaptive responses of phytoplankton to these modifications of coastal ecosystems. Strains of Scrippsiella donghaienis were obtained from sediments isotopically dated to 1986 (ancient) and 2006 (modern) while those of A. minutum dated from 1996 (ancient) and 2006 (modern). In total 84 samples were obtained, with each experimental condition (combinations of species, age, growth phase) being cultured in triplicate in phosphate depleted conditions. Extracts of different growth phases of the ancient and modern strains of A. minutum and S. donghaienis were analyzed by liquid chromatography coupled to high resolution mass spectrometry and retreated using a workflow on a wide variety of hydrophilic and lipophilic metabolites. More specifically, two workflows have been used for univariate hypothesis testing and PCA multivariate modelling on: (i) a chemometrics platform, Agilent Mass Profiler Professional (MPP). Metabolic fingerprints of the various stages made it possible to highlight the distribution of the common and / or age-specific metabolites of the culture but also those common and specific to the different growth phases (exponential or stationary and supplemented or limited in phosphorus), and (ii) a collaborative portal dedicated to meta

Details

Database :
OAIster
Notes :
application/pdf, English
Publication Type :
Electronic Resource
Accession number :
edsoai.on1083256556
Document Type :
Electronic Resource