FN Archimer Export Format
PT J
TI Spatial epidemiological modelling of infection by Vibrio aestuarianus shows that connectivity and temperature control oyster mortality
BT 
AF Lupo, Coralie
   Dutta, Bhagat Lal
   Petton, Sebastien
   Ezanno, P
   Tourbiez, Delphine
   Travers, Marie-Agnes
   Pernet, Fabrice
   Bacher, Cedric
AS 1:1;2:1;3:2;4:3;5:1;6:1,4;7:2;8:5;
FF 1:PDG-RBE-SGMM-LGPMM;2:PDG-RBE-SG2M-LGPMM;3:PDG-RBE-PFOM-LPI;4:;5:PDG-RBE-SGMM-LGPMM;6:PDG-RBE-IHPE;7:PDG-RBE-PFOM-LPI;8:PDG-ODE-DYNECO;
C1 Ifremer, SG2M, F-17390 La Tremblade, France
   Université Brest, Ifremer, CNRS, IRD, LEMAR, 29840 Plouzané, France
   INRAE, Oniris, BIOEPAR, 44300 Nantes, France
   Université Montpellier, CNRS, Ifremer, UPVD, IHPE, 34000 Montpellier, France
   Ifremer, DYNECO, F-29580 Plouzané, France
C2 IFREMER, FRANCE
   IFREMER, FRANCE
   INRAE, FRANCE
   IFREMER, FRANCE
   IFREMER, FRANCE
SI LA TREMBLADE
   ARGENTON
   MONTPELLIER
   BREST
SE PDG-RBE-SGMM-LGPMM
   PDG-RBE-SG2M-LGPMM
   PDG-RBE-PFOM-LPI
   PDG-RBE-IHPE
   PDG-ODE-DYNECO
UM LEMAR
   IHPE
IN WOS Ifremer UPR
   WOS Ifremer UMR
   DOAJ
   copubli-france
   copubli-p187
IF 2.188
TC 7
UR https://archimer.ifremer.fr/doc/00662/77459/79114.pdf
   https://archimer.ifremer.fr/doc/00662/77459/79115.pdf
LA English
DT Article
DE ;Basic reproduction number;Crassostrea gigas;Hydrodynamics;Oyster disease;Sensitivity analysis;Vibrio aestuarianus
AB Vibrio aestuarianus infection in oyster populations causes massive mortality, resulting in losses for oyster farmers. Such dynamics result from host-pathogen interactions and contagion through water-borne transmission. To assess the spatiotemporal spread of V. aestuarianus infection and associated oyster mortality at a bay scale, we built a mathematical model informed by experimental infection data at 2 temperatures and spatially dependent marine connectivity of oyster farms. We applied the model to a real system and tested the importance of each factor using a number of modelling scenarios. Results suggest that introducing V. aestuarianus in a fully susceptible adult oyster population in the bay would lead to the mortality of all farmed oysters over 6 to 12 mo, depending on the location in which infection was initiated. The effect of temperature was captured by the basic reproduction number (R0), which was >1 at high seawater temperatures, as opposed to values <1 at low temperatures. At the ecosystem scale, simulations showed the existence of long-distance dispersal of free-living bacteria. The western part of the bay could be reached by bacteria originating from the eastern side, though the spread time was greatly increased. Further developments of the model, including the consideration of the anthropogenic movements of oysters and oyster-specific sensitivity factors, would allow the development of accurate maps of epidemiological risks and help define aquaculture zoning. 
PY 2020
SO Aquaculture Environment Interactions
SN 1869-215X
PU Inter-Research Science Center
VL 12
UT 000594267300001
BP 511
EP 527
DI 10.3354/aei00379
ID 77459
ER

EF