FN Archimer Export Format PT J TI Modelling paralytic shellfish toxins (PST) accumulation in Crassostrea gigas by using Dynamic Energy Budgets (DEB) BT AF POUSSE, Emilien FLYE-SAINTE-MARIE, Jonathan ALUNNO-BRUSCIA, Marianne HEGARET, Helene RANNOU, Eric PECQUERIE, Laure MARQUES, Goncalo M. THOMAS, Yoann CASTREC, Justine FABIOUX, Caroline LONG, Marc LASSUDRIE, Malwenn HERMABESSIERE, Ludovic AMZIL, Zouher SOUDANT, Philippe JEAN, Fred AS 1:1,2;2:1;3:2;4:7;5:4;6:8;7:5;8:1;9:1;10:1;11:1,6;12:1;13:7;14:3;15:7;16:1; FF 1:;2:;3:PDG-RBE-PFOM-LPI;4:;5:;6:;7:;8:;9:;10:;11:;12:PDG-ODE-LITTORAL-LERBO;13:;14:PDG-ODE-DYNECO-PHYC;15:;16:; C1 Univ Bretagne Occidentale, Inst Univ Europeen Mer, Lab Sci Environm Marin LEMAR UMR6539, Pl Copern,Teclutopole Brest Iroise, F-29280 Plouzane, France. Ifremer, UMR 6539 LEMAR, 11 Presquile Vivier, F-29840 Argenton, Landunvez, France. Ifremer, Lab Phycotoxines, Rue Ille Yeu,BP 21105, F-44311 Nantes, France. Univ Europeenne Bretagne, Univ Brest, UMR 6205 Lab Math, 6 Ave Le Gorgeu,CS 93837, F-29238 Brest 3, France. Univ Lisbon, Inst Super Tecn, MARATEC Marine Environm & Technol Ctr, Ave Rovisco Pais 1, P-1049001 Lisbon, Portugal. Univ Wollongong, Sch Chem, Wollongong, NSW 2522, Australia. Univ Bretagne Occidentale, Inst Univ Europeen Mer, Lab Sci Environm Marin LEMAR UMR6539, Pl Copern,Teclutopole Brest Iroise, F-29280 Plouzane, France. Univ Bretagne Occidentale, Inst Univ Europeen Mer, Lab Sci Environm Marin LEMAR UMR6539, Pl Copern,Teclutopole Brest Iroise, F-29280 Plouzane, France. C2 UBO, FRANCE IFREMER, FRANCE IFREMER, FRANCE UBO, FRANCE UNIV LISBON, PORTUGAL UNIV WOLLONGONG, AUSTRALIA CNRS, FRANCE IRD, FRANCE SI ARGENTON CONCARNEAU NANTES SE PDG-RBE-PFOM-LPI PDG-ODE-LITTORAL-LERBO PDG-ODE-DYNECO-PHYC UM LEMAR IN WOS Ifremer UPR WOS Ifremer UMR WOS Cotutelle UMR copubli-france copubli-p187 copubli-europe copubli-univ-france copubli-int-hors-europe IF 1.725 TC 13 UR https://archimer.ifremer.fr/doc/00455/56662/58407.pdf LA English DT Article DE ;Alexandrium minutum;Paralytic shellfish toxins (PST);Dynamic Energy Budget (DEB);Modelling;Pacific oyster AB As other filter-feeders, Crassostrea gigas can concentrate paralytic shellfish toxins (PST) by consuming dinoflagellate phytoplankton species like Alexandrium minutum. Intake of PST in oyster tissues mainly results from feeding processes, i.e. clearance rate, pre-ingestive sorting and ingestion that are directly influenced by environmental conditions (trophic sources, temperature). This study aimed to develop a mechanistic model coupling the kinetics of PST accumulation and bioenergetics in C. gigas based on Dynamic Energy Budget (DEB) theory. For the first time, the Synthesizing Units (SU) concept was applied to formalize the feeding preference of oysters between non-toxic and toxic microalgae. Toxin intake and accumulation were both dependent on the physiological status of oysters. The accumulation was modelled through the dynamics of two toxin compartments: (1) a compartment of ingested but non-assimilated toxins, with labile toxins within the digestive gland eliminated via faeces production; (2) a compartment of assimilated toxins with a rapid detoxification rate (within a few days). Firstly, the DEB-PST model was calibrated using data from two laboratory experiments where oysters have been exposed to A. minutum. Secondly, it was validated using data from another laboratory experiment and from three field surveys carried out in the Bay of Brest (France) from 2012 to 2014. To account for the variability in PST content of A. minutum cells, the saxitoxin (STX) amount per energy units in a toxic algae (ρPST) was adjusted for each dataset. Additionally, the effects of PST on the oyster bioenergetics were calibrated during the first laboratory experiment. However, these effects were shown to depend on the strain of A. minutum. Results of this study could be of great importance for monitoring agencies and decision makers to identify risky conditions (e.g. production areas, seawater temperature), to properly assess detoxification step (e.g. duration, modalities) before any commercialization or to improve predictions regarding closing of shellfish areas. PY 2019 PD JAN SO Journal Of Sea Research SN 1385-1101 PU Elsevier Science Bv VL 143 UT 000453497600015 BP 152 EP 164 DI 10.1016/j.seares.2018.09.002 ID 56662 ER EF