Modeling the Transmission of Vibrio aestuarianus in Pacific Oysters Using Experimental Infection Data
International audience Vibrio aestuarianus is a bacterium related to mortality outbreaks in Pacific oysters, Crassostrea gigas, in France, Ireland, and Scotland since 2011. Knowledge about its transmission dynamics is still lacking, impairing guidance to prevent and control the related disease sprea...
Published in: | Frontiers in Veterinary Science |
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Main Authors: | , , , , , |
Other Authors: | , , |
Format: | Article in Journal/Newspaper |
Language: | English |
Published: |
HAL CCSD
2019
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Subjects: | |
Online Access: | https://hal.inrae.fr/hal-02618348 https://hal.inrae.fr/hal-02618348/document https://hal.inrae.fr/hal-02618348/file/Ezanno19FrontiersVetSci_1.pdf https://hal.inrae.fr/hal-02618348/file/Ezanno19FrontiersVetSciSupplement_2.pdf https://doi.org/10.3389/fvets.2019.00142 |
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ftccsdartic:oai:HAL:hal-02618348v1 |
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institution |
Open Polar |
collection |
Archive ouverte HAL (Hyper Article en Ligne, CCSD - Centre pour la Communication Scientifique Directe) |
op_collection_id |
ftccsdartic |
language |
English |
topic |
Crassostrea gigas Oyster mortality Global sensitivity analysis Basic reproduction number R0 Compartmental model ABC method Parameter estimation Marine epidemiology [SDV]Life Sciences [q-bio] |
spellingShingle |
Crassostrea gigas Oyster mortality Global sensitivity analysis Basic reproduction number R0 Compartmental model ABC method Parameter estimation Marine epidemiology [SDV]Life Sciences [q-bio] Lupo, Coralie Travers, Marie-Agnès Tourbiez, Delphine Barthélémy, Clément Félix Beaunée, Gael Ezanno, Pauline Modeling the Transmission of Vibrio aestuarianus in Pacific Oysters Using Experimental Infection Data |
topic_facet |
Crassostrea gigas Oyster mortality Global sensitivity analysis Basic reproduction number R0 Compartmental model ABC method Parameter estimation Marine epidemiology [SDV]Life Sciences [q-bio] |
description |
International audience Vibrio aestuarianus is a bacterium related to mortality outbreaks in Pacific oysters, Crassostrea gigas, in France, Ireland, and Scotland since 2011. Knowledge about its transmission dynamics is still lacking, impairing guidance to prevent and control the related disease spread. Mathematical modeling is a relevant approach to better understand the determinants of a disease and predict its dynamics in imperfectly observed pathosystems. We developed here the first marine epidemiological model to estimate the key parameters of V. aestuarianus infection at a local scale in a small and closed oyster population under controlled laboratory conditions. Using a compartmental model accounting for free-living bacteria in seawater, we predicted the infection dynamics using dedicated and model-driven collected laboratory experimental transmission data. We estimated parameters and showed that waterborne transmission of V. aestuarianus is possible under experimental conditions, with a basic reproduction number R0 of 2.88 (95% CI: 1.86; 3.35), and a generation time of 5.5 days. Our results highlighted a bacterial dose–dependent transmission of vibriosis at local scale. Global sensitivity analyses indicated that the bacteria shedding rate, the concentration of bacteria in seawater that yields a 50% chance of catching the infection, and the initial bacterial exposure dose W0 were three critical parameters explaining most of the variation in the selected model outputs related to disease spread, i.e., R0, the maximum prevalence, oyster survival curve, and bacteria concentration in seawater. Prevention and control should target the exposure of oysters to bacterial concentration in seawater. This combined laboratory–modeling approach enabled us to maximize the use of information obtained through experiments. The identified key epidemiological parameters should be better refined by further dedicated laboratory experiments. These results revealed the importance of multidisciplinary approaches to gain consistent ... |
author2 |
Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER) Biologie, Epidémiologie et analyse de risque en Santé Animale (BIOEPAR) Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE) |
format |
Article in Journal/Newspaper |
author |
Lupo, Coralie Travers, Marie-Agnès Tourbiez, Delphine Barthélémy, Clément Félix Beaunée, Gael Ezanno, Pauline |
author_facet |
Lupo, Coralie Travers, Marie-Agnès Tourbiez, Delphine Barthélémy, Clément Félix Beaunée, Gael Ezanno, Pauline |
author_sort |
Lupo, Coralie |
title |
Modeling the Transmission of Vibrio aestuarianus in Pacific Oysters Using Experimental Infection Data |
title_short |
Modeling the Transmission of Vibrio aestuarianus in Pacific Oysters Using Experimental Infection Data |
title_full |
Modeling the Transmission of Vibrio aestuarianus in Pacific Oysters Using Experimental Infection Data |
title_fullStr |
Modeling the Transmission of Vibrio aestuarianus in Pacific Oysters Using Experimental Infection Data |
title_full_unstemmed |
Modeling the Transmission of Vibrio aestuarianus in Pacific Oysters Using Experimental Infection Data |
title_sort |
modeling the transmission of vibrio aestuarianus in pacific oysters using experimental infection data |
publisher |
HAL CCSD |
publishDate |
2019 |
url |
https://hal.inrae.fr/hal-02618348 https://hal.inrae.fr/hal-02618348/document https://hal.inrae.fr/hal-02618348/file/Ezanno19FrontiersVetSci_1.pdf https://hal.inrae.fr/hal-02618348/file/Ezanno19FrontiersVetSciSupplement_2.pdf https://doi.org/10.3389/fvets.2019.00142 |
geographic |
Pacific |
geographic_facet |
Pacific |
genre |
Crassostrea gigas |
genre_facet |
Crassostrea gigas |
op_source |
ISSN: 2297-1769 Frontiers in Veterinary Science https://hal.inrae.fr/hal-02618348 Frontiers in Veterinary Science, Frontiers Media, 2019, 6, 15 p. ⟨10.3389/fvets.2019.00142⟩ https://www.frontiersin.org/journals/veterinary-science# |
op_relation |
info:eu-repo/semantics/altIdentifier/doi/10.3389/fvets.2019.00142 info:eu-repo/semantics/altIdentifier/pmid/31139636 hal-02618348 https://hal.inrae.fr/hal-02618348 https://hal.inrae.fr/hal-02618348/document https://hal.inrae.fr/hal-02618348/file/Ezanno19FrontiersVetSci_1.pdf https://hal.inrae.fr/hal-02618348/file/Ezanno19FrontiersVetSciSupplement_2.pdf doi:10.3389/fvets.2019.00142 PRODINRA: 477762 PUBMED: 31139636 WOS: 000467915800001 |
op_rights |
http://creativecommons.org/licenses/by/ info:eu-repo/semantics/OpenAccess |
op_doi |
https://doi.org/10.3389/fvets.2019.00142 |
container_title |
Frontiers in Veterinary Science |
container_volume |
6 |
_version_ |
1766394172420390912 |
spelling |
ftccsdartic:oai:HAL:hal-02618348v1 2023-05-15T15:58:26+02:00 Modeling the Transmission of Vibrio aestuarianus in Pacific Oysters Using Experimental Infection Data Lupo, Coralie Travers, Marie-Agnès Tourbiez, Delphine Barthélémy, Clément Félix Beaunée, Gael Ezanno, Pauline Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER) Biologie, Epidémiologie et analyse de risque en Santé Animale (BIOEPAR) Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE) 2019 https://hal.inrae.fr/hal-02618348 https://hal.inrae.fr/hal-02618348/document https://hal.inrae.fr/hal-02618348/file/Ezanno19FrontiersVetSci_1.pdf https://hal.inrae.fr/hal-02618348/file/Ezanno19FrontiersVetSciSupplement_2.pdf https://doi.org/10.3389/fvets.2019.00142 en eng HAL CCSD Frontiers Media info:eu-repo/semantics/altIdentifier/doi/10.3389/fvets.2019.00142 info:eu-repo/semantics/altIdentifier/pmid/31139636 hal-02618348 https://hal.inrae.fr/hal-02618348 https://hal.inrae.fr/hal-02618348/document https://hal.inrae.fr/hal-02618348/file/Ezanno19FrontiersVetSci_1.pdf https://hal.inrae.fr/hal-02618348/file/Ezanno19FrontiersVetSciSupplement_2.pdf doi:10.3389/fvets.2019.00142 PRODINRA: 477762 PUBMED: 31139636 WOS: 000467915800001 http://creativecommons.org/licenses/by/ info:eu-repo/semantics/OpenAccess ISSN: 2297-1769 Frontiers in Veterinary Science https://hal.inrae.fr/hal-02618348 Frontiers in Veterinary Science, Frontiers Media, 2019, 6, 15 p. ⟨10.3389/fvets.2019.00142⟩ https://www.frontiersin.org/journals/veterinary-science# Crassostrea gigas Oyster mortality Global sensitivity analysis Basic reproduction number R0 Compartmental model ABC method Parameter estimation Marine epidemiology [SDV]Life Sciences [q-bio] info:eu-repo/semantics/article Journal articles 2019 ftccsdartic https://doi.org/10.3389/fvets.2019.00142 2021-09-11T23:44:01Z International audience Vibrio aestuarianus is a bacterium related to mortality outbreaks in Pacific oysters, Crassostrea gigas, in France, Ireland, and Scotland since 2011. Knowledge about its transmission dynamics is still lacking, impairing guidance to prevent and control the related disease spread. Mathematical modeling is a relevant approach to better understand the determinants of a disease and predict its dynamics in imperfectly observed pathosystems. We developed here the first marine epidemiological model to estimate the key parameters of V. aestuarianus infection at a local scale in a small and closed oyster population under controlled laboratory conditions. Using a compartmental model accounting for free-living bacteria in seawater, we predicted the infection dynamics using dedicated and model-driven collected laboratory experimental transmission data. We estimated parameters and showed that waterborne transmission of V. aestuarianus is possible under experimental conditions, with a basic reproduction number R0 of 2.88 (95% CI: 1.86; 3.35), and a generation time of 5.5 days. Our results highlighted a bacterial dose–dependent transmission of vibriosis at local scale. Global sensitivity analyses indicated that the bacteria shedding rate, the concentration of bacteria in seawater that yields a 50% chance of catching the infection, and the initial bacterial exposure dose W0 were three critical parameters explaining most of the variation in the selected model outputs related to disease spread, i.e., R0, the maximum prevalence, oyster survival curve, and bacteria concentration in seawater. Prevention and control should target the exposure of oysters to bacterial concentration in seawater. This combined laboratory–modeling approach enabled us to maximize the use of information obtained through experiments. The identified key epidemiological parameters should be better refined by further dedicated laboratory experiments. These results revealed the importance of multidisciplinary approaches to gain consistent ... Article in Journal/Newspaper Crassostrea gigas Archive ouverte HAL (Hyper Article en Ligne, CCSD - Centre pour la Communication Scientifique Directe) Pacific Frontiers in Veterinary Science 6 |