Summer mortality of Pacific oyster Crassostrea gigas: a metapopulation model of Vibrio aestuarianus infection
International audience High mortality of farmed oysters during summer leads to major economic losses. Vibrio aestuarianus is one of the pathogens associated with such recently observed severe mortality outbreaks in Pacific oysters, in France as well as in other parts of the globe. Our objective is t...
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ftccsdartic:oai:HAL:hal-02742463v1 2023-05-15T15:59:05+02:00 Summer mortality of Pacific oyster Crassostrea gigas: a metapopulation model of Vibrio aestuarianus infection Dutta, Bhagat Lal Lupo, Coralie Petton, Sébastien Ezanno, Pauline Travers, Marie-Agnès Tourbiez, Delphine Normand, Julien Gangnery, Aline Pernet, Fabrice Bacher, Cédric Biologie, Epidémiologie et analyse de risque en Santé Animale (BIOEPAR) Institut National de la Recherche Agronomique (INRA) Laboratoire de Génétique et Pathologie des Mollusques Marins Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER) Laboratoire de physiologie des invertébrés Laboratoire Environnement Ressources de Normandie (LERN) Las Vegas, Nevada, United States 2016-02-22 https://hal.inrae.fr/hal-02742463 en eng HAL CCSD hal-02742463 https://hal.inrae.fr/hal-02742463 PRODINRA: 361451 Aquaculture https://hal.inrae.fr/hal-02742463 Aquaculture, Feb 2016, Las Vegas, Nevada, United States [SDV]Life Sciences [q-bio] info:eu-repo/semantics/conferenceObject Conference papers 2016 ftccsdartic 2021-11-21T00:46:11Z International audience High mortality of farmed oysters during summer leads to major economic losses. Vibrio aestuarianus is one of the pathogens associated with such recently observed severe mortality outbreaks in Pacific oysters, in France as well as in other parts of the globe. Our objective is to better understand, using a multiscale modelling framework, how this bacterium spreads in a spatially explicit metapopulation of oysters to evaluate its impact and, on a longer term, control measures to limit losses for farmers. We design a discrete time stochastic compartmental model, with farm level subpopulations connected through water neighboring relationships and anthropogenic movements of oysters between different farming sites. The model accounts for the diversity in inter-farm infection dynamics by coupling epidemiological models at intra-farm scale through a hydrodynamic particle transport model and a set of rules representing anthropogenic movements between sites based on farming practice. Farming sites are identified by land registers. The intra-farm host-pathogen dynamics is represented using three epidemiological compartments for oysters together with an infectious particle density compartment. Subpopulations exchange the pathogen particles shed by infected oysters at two scales: within a neighborhood through a local diffusion process, and on long distances using a hydrodynamic particle transport model. A mechanistic contact network is designed to simulate the anthropogenic movements of oysters between farming sites, as part of farm management practices, based on the information obtained from interviews. The model is applied on the oyster farming layout of the Baie des Veys area in Normandy, France, using observed oceano-environmental inputs for the hydrodynamic transport model, aiming to explore pathogen dynamics in a real case study. Scenarios of the initiation of pathogen outbreak are simulated to assess the respective roles of local and long distances dynamics. The next step will be to validate ... Conference Object Crassostrea gigas Pacific oyster Archive ouverte HAL (Hyper Article en Ligne, CCSD - Centre pour la Communication Scientifique Directe) Pacific |
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collection |
Archive ouverte HAL (Hyper Article en Ligne, CCSD - Centre pour la Communication Scientifique Directe) |
op_collection_id |
ftccsdartic |
language |
English |
topic |
[SDV]Life Sciences [q-bio] |
spellingShingle |
[SDV]Life Sciences [q-bio] Dutta, Bhagat Lal Lupo, Coralie Petton, Sébastien Ezanno, Pauline Travers, Marie-Agnès Tourbiez, Delphine Normand, Julien Gangnery, Aline Pernet, Fabrice Bacher, Cédric Summer mortality of Pacific oyster Crassostrea gigas: a metapopulation model of Vibrio aestuarianus infection |
topic_facet |
[SDV]Life Sciences [q-bio] |
description |
International audience High mortality of farmed oysters during summer leads to major economic losses. Vibrio aestuarianus is one of the pathogens associated with such recently observed severe mortality outbreaks in Pacific oysters, in France as well as in other parts of the globe. Our objective is to better understand, using a multiscale modelling framework, how this bacterium spreads in a spatially explicit metapopulation of oysters to evaluate its impact and, on a longer term, control measures to limit losses for farmers. We design a discrete time stochastic compartmental model, with farm level subpopulations connected through water neighboring relationships and anthropogenic movements of oysters between different farming sites. The model accounts for the diversity in inter-farm infection dynamics by coupling epidemiological models at intra-farm scale through a hydrodynamic particle transport model and a set of rules representing anthropogenic movements between sites based on farming practice. Farming sites are identified by land registers. The intra-farm host-pathogen dynamics is represented using three epidemiological compartments for oysters together with an infectious particle density compartment. Subpopulations exchange the pathogen particles shed by infected oysters at two scales: within a neighborhood through a local diffusion process, and on long distances using a hydrodynamic particle transport model. A mechanistic contact network is designed to simulate the anthropogenic movements of oysters between farming sites, as part of farm management practices, based on the information obtained from interviews. The model is applied on the oyster farming layout of the Baie des Veys area in Normandy, France, using observed oceano-environmental inputs for the hydrodynamic transport model, aiming to explore pathogen dynamics in a real case study. Scenarios of the initiation of pathogen outbreak are simulated to assess the respective roles of local and long distances dynamics. The next step will be to validate ... |
author2 |
Biologie, Epidémiologie et analyse de risque en Santé Animale (BIOEPAR) Institut National de la Recherche Agronomique (INRA) Laboratoire de Génétique et Pathologie des Mollusques Marins Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER) Laboratoire de physiologie des invertébrés Laboratoire Environnement Ressources de Normandie (LERN) |
format |
Conference Object |
author |
Dutta, Bhagat Lal Lupo, Coralie Petton, Sébastien Ezanno, Pauline Travers, Marie-Agnès Tourbiez, Delphine Normand, Julien Gangnery, Aline Pernet, Fabrice Bacher, Cédric |
author_facet |
Dutta, Bhagat Lal Lupo, Coralie Petton, Sébastien Ezanno, Pauline Travers, Marie-Agnès Tourbiez, Delphine Normand, Julien Gangnery, Aline Pernet, Fabrice Bacher, Cédric |
author_sort |
Dutta, Bhagat Lal |
title |
Summer mortality of Pacific oyster Crassostrea gigas: a metapopulation model of Vibrio aestuarianus infection |
title_short |
Summer mortality of Pacific oyster Crassostrea gigas: a metapopulation model of Vibrio aestuarianus infection |
title_full |
Summer mortality of Pacific oyster Crassostrea gigas: a metapopulation model of Vibrio aestuarianus infection |
title_fullStr |
Summer mortality of Pacific oyster Crassostrea gigas: a metapopulation model of Vibrio aestuarianus infection |
title_full_unstemmed |
Summer mortality of Pacific oyster Crassostrea gigas: a metapopulation model of Vibrio aestuarianus infection |
title_sort |
summer mortality of pacific oyster crassostrea gigas: a metapopulation model of vibrio aestuarianus infection |
publisher |
HAL CCSD |
publishDate |
2016 |
url |
https://hal.inrae.fr/hal-02742463 |
op_coverage |
Las Vegas, Nevada, United States |
geographic |
Pacific |
geographic_facet |
Pacific |
genre |
Crassostrea gigas Pacific oyster |
genre_facet |
Crassostrea gigas Pacific oyster |
op_source |
Aquaculture https://hal.inrae.fr/hal-02742463 Aquaculture, Feb 2016, Las Vegas, Nevada, United States |
op_relation |
hal-02742463 https://hal.inrae.fr/hal-02742463 PRODINRA: 361451 |
_version_ |
1766394865009033216 |