|Author(s)||Mondeguer Florence1, Lepinay Alexandra2, 3, Capiaux Hervé4, Turpin Vincent2, Lebeau Thierry3|
|Affiliation(s)||1 : Ifremer, Laboratoire Phycotoxines, 44311 Nantes Cedex3, France
2 : MMS EA 2160, Faculté Sciences et Techniques, Université de Nantes - 44322 Nantes Cedex, France
3 : UMR LPGN 6112 CNRS, Université de Nantes - 44322 Nantes Cedex, France
4 : Plateforme d'Analyse Moléculaire Biodiversité-Environnement- 85035 La Roche sur Yon, France
|Meeting||10èmes Journées Scientifiques du Réseau Français de Métabolomique et Fluxomique (RMFM). 31 mai-2 juin 2016, Montpellier, France|
|Keyword(s)||Haslea ostrearia, marine diatom, co-culture microalgae, bacterial community, TTGE, High Resolution Mass Spectrometry, untargeted metabolomics|
|Abstract||The marine diatom Haslea ostrearia  produces a water-soluble blue-pigment named marennine  of economic interest. But the lack of knowledge of the ecological conditions, under which this microalga develops in its natural ecosystem, more especially bacteria H. ostrearia interactions, prevents any optimization of its culture in well-controlled conditions.
The structure of the bacterial community was analyzed by PCR-TTGE before and after the isolation of H. ostrearia cells recovered from 4 localities, to distinguish the relative part of the biotope and the biocenose and eventually to describe the temporal dynamic of the structure of the bacterial community at two time-scales.
The differences in genetic fingerprints, more especially high between two H. ostrearia isolates (HO-R and HO-BM) showed also the highest differences in the bacterial structure  as the result of specific metabolomics profiles. The non-targeted metabolomic investigation showed that these profiles were more distinct in case of bacteria-alga associations than for the H. ostrearia monoculture
Here we present a Q-TOF LC/MS metabolomic fingerprinting approach :
- to investigate differential metabolites of axenic versus non axenic H. ostrearia cultures.
- to focus on the specific metabolites of a bacterial surrounding associated with the activation or inhibition of the microalga growing.
The Agilent suite of data processing software makes feature finding, statistical analysis, and identification easier. This enables rapid transformation of complex raw data into biologically relevant metabolite information.
Mondeguer Florence, Lepinay Alexandra, Capiaux Hervé, Turpin Vincent, Lebeau Thierry (2016). Preliminary metabolomic approach on the bacterial structure community of Haslea ostrearia. 10èmes Journées Scientifiques du Réseau Français de Métabolomique et Fluxomique (RMFM). 31 mai-2 juin 2016, Montpellier, France. https://archimer.ifremer.fr/doc/00342/45368/