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Poster De Conférence Année : 2019

Innovative workflows towards more transparent and integrative metabolomics analysis

Workflows novateurs pour une analyse métabolomique plus claire et plus intégrative

Résumé

During their life cycle, Alexandrium minutum and Scrippsiella donghaienis can produce resistant and revivable cysts that can accumulate in marine sediments for hundreds of years. Our working hypothesis assumes that these two genera have "recorded" their adaptation to ecosystem changes in these cells preserved in the form of cysts. From these revived cysts, toxic and non-toxic dinoflagellate cultures (Alexandrium minutum and Scrippsiella donghaienis) were analyzed by a metabolomic approach to investigate the possible adaptive responses of phytoplankton to these changes in coastal ecosystems. The strains were obtained from isotopically dated sediments, 1986 and 1996 for "old" and 2006 for "modern". In total, 84 samples were obtained. Each experimental condition (species combinations, age, growth phase) was grown in triplicate. Extracts from different growth phases of the ancient and modern strains of Alexandrium minutum and Scrippsiella donghaienis were analyzed by LC-HRMS and compared via two workflows: a chemometrics platform, Agilent Mass Profiler Professional (MPP) and the collaborative portal "Workflow4Metabolomics". It is interesting to note that regardless of the workflows used (MPP or Galaxy), the metabolomic profiles of cultures reactivated at different ages were more different than those of different growth phases. While A. Minutum did not generally show the specific metabolites of the different stages but only common compounds, S. donghaienis contained metabolites specific for phosphorus deficiency. Molecular network analysis (GNPS_MetGem) provided a better understanding of these metabolites produced in case of phosphorus deficiency.
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Dates et versions

hal-04428201 , version 1 (31-01-2024)

Identifiants

  • HAL Id : hal-04428201 , version 1

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Florence Mondeguer, Pierre-Marie Allard, Florence Souard, Nicolas Elie, Yann Guitton, et al.. Innovative workflows towards more transparent and integrative metabolomics analysis. Gen2Bio 2019, Mar 2019, Angers, France. ⟨hal-04428201⟩
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