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Metabolic changes in Medaka fish induced by cyanobacterial exposures in mesocosms: an integrative approach combining proteomic and metabolomic analyses
Author(s) -
Benoît. Sotton,
Alain Paris,
Séverine Le Manach,
Alain Blond,
Gérard Lacroix,
Alexis Millot,
Clément Duval,
Hélène Huet,
Qun Qiao,
Sophie Labrut,
Giovanni Chiapetta,
Joëlle Vinh,
Arnaud Catherine,
Benjamin Marie
Publication year - 2017
Publication title -
scientific reports
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.24
H-Index - 213
ISSN - 2045-2322
DOI - 10.1038/s41598-017-04423-z
Subject(s) - cyanobacteria , metabolomics , oryzias , metabolome , mesocosm , biology , microcystis aeruginosa , proteome , microcystis , fish <actinopterygii> , proteomics , aquatic ecosystem , ecology , bioinformatics , ecosystem , bacteria , biochemistry , genetics , fishery , gene
Cyanobacterial blooms pose serious threats to aquatic organisms and strongly impact the functioning of aquatic ecosystems. Due to their ability to produce a wide range of potentially bioactive secondary metabolites, so called cyanotoxins, cyanobacteria have been extensively studied in the past decades. Proteomic and metabolomic analyses provide a unique opportunity to evaluate the global response of hundreds of proteins and metabolites at a glance. In this study, we provide the first combined utilization of these methods targeted to identify the response of fish to bloom-forming cyanobacteria. Medaka fish ( Oryzias latipes ) were exposed for 96 hours either to a MC-producing or to a non-MC-producing strain of Microcystis aeruginosa and cellular, proteome and metabolome changes following exposure to cyanobacteria were characterized in the fish livers. The results suggest that a short-term exposure to cyanobacteria, producing or not MCs, induces sex-dependent molecular changes in medaka fish, without causing any cellular alterations. Globally, molecular entities involved in stress response, lipid metabolism and developmental processes exhibit the most contrasted changes following a cyanobacterial exposure. Moreover, it appears that proteomic and metabolomic analyses are useful tools to verify previous information and to additionally bring new horizons concerning molecular effects of cyanobacteria on fish.

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