Author(s):
Mazzuca, S. 
; Bjork, M. ; Beer, S. ; Felisberto, P. ; Gobert, S. ; Procaccini, G. ; Runcle, J. ; Silva, J. ; Borges, A.V. ; Brunet, C. ; Buapet, P. ; Champenois, W. ; Costa, M. M. ; D'Esposito, D. ; Gullström, M. ; Lejeune, P. ; Lepoint, G. ; Olivé, I. ; Rasmusson, L. M. ; Richir, J. ; Ruocco, M. ; Serra, I. A. ; Spadafora, A. ; Santos, Rui
Date: 2013
Persistent ID: http://hdl.handle.net/10400.1/5199
Origin: Sapientia - Universidade do Algarve
Subject(s): Seagrasses; Proteomics; Genomics; Carbon fluxes; Photosynthesis; Respiration; Productivity; Marine
Description
A complete understanding of the mechanistic basis of marine ecosystem functioning is
only possible through integrative and interdisciplinary research.This enables the predictionof change and possibly the mitigation of the consequences ofanthropogenic impacts. One
major aim of the European Cooperation in Science and Technology (COST) Action ES0609
“Seagrasses productivity. From genes to ecosystem management,” is the calibration and
synthesis of various methods and the development of innovative techniques and protocolsfor studying seagrass ecosystems. During 10 days, 20 researchers representing a range of disciplines (molecular biology, physiology, botany, ecology, oceanography, and underwater acoustics) gathered at The Station de Recherches Sous-marines et Océanographiques (STARESO, Corsica) to study together the nearby Posidonia oceanica meadow. STARESO is located in an oligotrophic area classified as “pristine site” where environmental disturbances caused by anthropogenic pressure are exceptionally low. The healthy P. oceanica
meadow, which grows in front of the research station, colonizes the sea bottom from the surface to 37m depth. During the study, genomic and proteomic approaches were
integrated with ecophysiological and physical approaches with the aim of understanding changes in seagrass productivity and metabolism at different depths and along daily cycles.
In this paper we report details on the approaches utilized and we forecast the potential of the data that will come from this synergistic approach not only for P. oceanica but for seagrasses in general.
