Microbiota Composition and Evenness Predict Survival Rate of Oysters Confronted to Pacific Oyster Mortality Syndrome

International audience Pacific Oyster Mortality Syndrome (POMS) affects Crassostrea gigas oysters worldwide and causes important economic losses. Disease dynamic was recently deciphered and revealed a multiple and progressive infection caused by the Ostreid herpesvirus OsHV-1 µVar, triggering an imm...

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Published in:Frontiers in Microbiology
Main Authors: Clerissi, Camille, de Lorgeril, Julien, Petton, Bruno, Lucasson, Aude, Escoubas, Jean-Michel, Guéguen, Yannick, Degrémont, Lionel, L., Mitta, Guillaume, Toulza, Eve, R
Other Authors: Interactions Hôtes-Pathogènes-Environnements (IHPE), Université de Perpignan Via Domitia (UPVD)-Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER)-Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM), Université Paris Sciences et Lettres (PSL), Laboratoire des Sciences de l'Environnement Marin (LEMAR) (LEMAR), Institut de Recherche pour le Développement (IRD)-Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER)-Université de Brest (UBO)-Institut Universitaire Européen de la Mer (IUEM), Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS), Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER), Unité Santé, Génétique et Microbiologie des Mollusques (SGMM), ANR-14-CE19-0023,DECIPHER,Déchiffrage des maladies multifactorielles: cas des mortalités de l'huître(2014), ANR-11-IDEX-0002,UNITI,Université Fédérale de Toulouse(2011), ANR-10-LABX-0004,CeMEB,Mediterranean Center for Environment and Biodiversity(2010), European Project: 678589,H2020,H2020-SFS-2015-2,VIVALDI(2016)
Format: Article in Journal/Newspaper
Language:English
Published: HAL CCSD 2020
Subjects:
ACL
Online Access:https://hal.science/hal-02551728
https://hal.science/hal-02551728/document
https://hal.science/hal-02551728/file/Clerissi-2020-FrontMicrob-Microbiota.pdf
https://doi.org/10.3389/fmicb.2020.00311
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record_format openpolar
institution Open Polar
collection Université de Perpignan: HAL
op_collection_id ftunivperpignan
language English
topic microbiome
fitness
holobiont
bacteria
ACL
metabarcoding
[SDV.BID.EVO]Life Sciences [q-bio]/Biodiversity/Populations and Evolution [q-bio.PE]
[SDE.BE]Environmental Sciences/Biodiversity and Ecology
spellingShingle microbiome
fitness
holobiont
bacteria
ACL
metabarcoding
[SDV.BID.EVO]Life Sciences [q-bio]/Biodiversity/Populations and Evolution [q-bio.PE]
[SDE.BE]Environmental Sciences/Biodiversity and Ecology
Clerissi, Camille
de Lorgeril, Julien
Petton, Bruno
Lucasson, Aude
Escoubas, Jean-Michel
Guéguen, Yannick
Degrémont, Lionel, L.
Mitta, Guillaume
Toulza, Eve, R
Microbiota Composition and Evenness Predict Survival Rate of Oysters Confronted to Pacific Oyster Mortality Syndrome
topic_facet microbiome
fitness
holobiont
bacteria
ACL
metabarcoding
[SDV.BID.EVO]Life Sciences [q-bio]/Biodiversity/Populations and Evolution [q-bio.PE]
[SDE.BE]Environmental Sciences/Biodiversity and Ecology
description International audience Pacific Oyster Mortality Syndrome (POMS) affects Crassostrea gigas oysters worldwide and causes important economic losses. Disease dynamic was recently deciphered and revealed a multiple and progressive infection caused by the Ostreid herpesvirus OsHV-1 µVar, triggering an immunosuppression followed by microbiota destabilization and bacteraemia by opportunistic bacterial pathogens. However, it remains unknown if microbiota might participate to protect oysters against POMS, and if microbiota characteristics might be predictive of oyster mortalities. To tackle this issue, we transferred full-sib progenies of resistant and susceptible oyster families from hatchery to the field during a period in favor of POMS. After 5 days of transplantation, oysters from each family were either sampled for individual microbiota analyses using 16S rRNA gene-metabarcoding or transferred into facilities to record their survival using controlled condition. As expected, all oysters from susceptible families died, and all oysters from the resistant family survived. Quantification of OsHV-1 and bacteria showed that 5 days of transplantation were long enough to contaminate oysters by POMS, but not for entering the pathogenesis process. Thus, it was possible to compare microbiota characteristics between resistant and susceptible oysters families at the early steps of infection. Strikingly, we found that microbiota evenness and abundances of Cyanobacteria (Subsection III, family I), Mycoplasmataceae, Rhodobacteraceae, and Rhodospirillaceae were significantly different between resistant and susceptible oyster families. We concluded that these microbiota characteristics might predict oyster mortalities.
author2 Interactions Hôtes-Pathogènes-Environnements (IHPE)
Université de Perpignan Via Domitia (UPVD)-Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER)-Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)
Université Paris Sciences et Lettres (PSL)
Laboratoire des Sciences de l'Environnement Marin (LEMAR) (LEMAR)
Institut de Recherche pour le Développement (IRD)-Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER)-Université de Brest (UBO)-Institut Universitaire Européen de la Mer (IUEM)
Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS)
Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER)
Unité Santé, Génétique et Microbiologie des Mollusques (SGMM)
ANR-14-CE19-0023,DECIPHER,Déchiffrage des maladies multifactorielles: cas des mortalités de l'huître(2014)
ANR-11-IDEX-0002,UNITI,Université Fédérale de Toulouse(2011)
ANR-10-LABX-0004,CeMEB,Mediterranean Center for Environment and Biodiversity(2010)
European Project: 678589,H2020,H2020-SFS-2015-2,VIVALDI(2016)
format Article in Journal/Newspaper
author Clerissi, Camille
de Lorgeril, Julien
Petton, Bruno
Lucasson, Aude
Escoubas, Jean-Michel
Guéguen, Yannick
Degrémont, Lionel, L.
Mitta, Guillaume
Toulza, Eve, R
author_facet Clerissi, Camille
de Lorgeril, Julien
Petton, Bruno
Lucasson, Aude
Escoubas, Jean-Michel
Guéguen, Yannick
Degrémont, Lionel, L.
Mitta, Guillaume
Toulza, Eve, R
author_sort Clerissi, Camille
title Microbiota Composition and Evenness Predict Survival Rate of Oysters Confronted to Pacific Oyster Mortality Syndrome
title_short Microbiota Composition and Evenness Predict Survival Rate of Oysters Confronted to Pacific Oyster Mortality Syndrome
title_full Microbiota Composition and Evenness Predict Survival Rate of Oysters Confronted to Pacific Oyster Mortality Syndrome
title_fullStr Microbiota Composition and Evenness Predict Survival Rate of Oysters Confronted to Pacific Oyster Mortality Syndrome
title_full_unstemmed Microbiota Composition and Evenness Predict Survival Rate of Oysters Confronted to Pacific Oyster Mortality Syndrome
title_sort microbiota composition and evenness predict survival rate of oysters confronted to pacific oyster mortality syndrome
publisher HAL CCSD
publishDate 2020
url https://hal.science/hal-02551728
https://hal.science/hal-02551728/document
https://hal.science/hal-02551728/file/Clerissi-2020-FrontMicrob-Microbiota.pdf
https://doi.org/10.3389/fmicb.2020.00311
genre Crassostrea gigas
Pacific oyster
genre_facet Crassostrea gigas
Pacific oyster
op_source ISSN: 1664-302X
EISSN: 1664-302X
Frontiers in Microbiology
https://hal.science/hal-02551728
Frontiers in Microbiology, 2020, 11, pp.311. ⟨10.3389/fmicb.2020.00311⟩
op_relation info:eu-repo/semantics/altIdentifier/doi/10.3389/fmicb.2020.00311
info:eu-repo/grantAgreement//678589/EU/Preventing and mitigating farmed bivalve diseases/VIVALDI
hal-02551728
https://hal.science/hal-02551728
https://hal.science/hal-02551728/document
https://hal.science/hal-02551728/file/Clerissi-2020-FrontMicrob-Microbiota.pdf
doi:10.3389/fmicb.2020.00311
op_rights info:eu-repo/semantics/OpenAccess
op_doi https://doi.org/10.3389/fmicb.2020.00311
container_title Frontiers in Microbiology
container_volume 11
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spelling ftunivperpignan:oai:HAL:hal-02551728v1 2024-05-19T07:39:19+00:00 Microbiota Composition and Evenness Predict Survival Rate of Oysters Confronted to Pacific Oyster Mortality Syndrome Clerissi, Camille de Lorgeril, Julien Petton, Bruno Lucasson, Aude Escoubas, Jean-Michel Guéguen, Yannick Degrémont, Lionel, L. Mitta, Guillaume Toulza, Eve, R Interactions Hôtes-Pathogènes-Environnements (IHPE) Université de Perpignan Via Domitia (UPVD)-Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER)-Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM) Université Paris Sciences et Lettres (PSL) Laboratoire des Sciences de l'Environnement Marin (LEMAR) (LEMAR) Institut de Recherche pour le Développement (IRD)-Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER)-Université de Brest (UBO)-Institut Universitaire Européen de la Mer (IUEM) Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS) Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER) Unité Santé, Génétique et Microbiologie des Mollusques (SGMM) ANR-14-CE19-0023,DECIPHER,Déchiffrage des maladies multifactorielles: cas des mortalités de l'huître(2014) ANR-11-IDEX-0002,UNITI,Université Fédérale de Toulouse(2011) ANR-10-LABX-0004,CeMEB,Mediterranean Center for Environment and Biodiversity(2010) European Project: 678589,H2020,H2020-SFS-2015-2,VIVALDI(2016) 2020-02-27 https://hal.science/hal-02551728 https://hal.science/hal-02551728/document https://hal.science/hal-02551728/file/Clerissi-2020-FrontMicrob-Microbiota.pdf https://doi.org/10.3389/fmicb.2020.00311 en eng HAL CCSD Frontiers Media info:eu-repo/semantics/altIdentifier/doi/10.3389/fmicb.2020.00311 info:eu-repo/grantAgreement//678589/EU/Preventing and mitigating farmed bivalve diseases/VIVALDI hal-02551728 https://hal.science/hal-02551728 https://hal.science/hal-02551728/document https://hal.science/hal-02551728/file/Clerissi-2020-FrontMicrob-Microbiota.pdf doi:10.3389/fmicb.2020.00311 info:eu-repo/semantics/OpenAccess ISSN: 1664-302X EISSN: 1664-302X Frontiers in Microbiology https://hal.science/hal-02551728 Frontiers in Microbiology, 2020, 11, pp.311. ⟨10.3389/fmicb.2020.00311⟩ microbiome fitness holobiont bacteria ACL metabarcoding [SDV.BID.EVO]Life Sciences [q-bio]/Biodiversity/Populations and Evolution [q-bio.PE] [SDE.BE]Environmental Sciences/Biodiversity and Ecology info:eu-repo/semantics/article Journal articles 2020 ftunivperpignan https://doi.org/10.3389/fmicb.2020.00311 2024-04-25T00:00:11Z International audience Pacific Oyster Mortality Syndrome (POMS) affects Crassostrea gigas oysters worldwide and causes important economic losses. Disease dynamic was recently deciphered and revealed a multiple and progressive infection caused by the Ostreid herpesvirus OsHV-1 µVar, triggering an immunosuppression followed by microbiota destabilization and bacteraemia by opportunistic bacterial pathogens. However, it remains unknown if microbiota might participate to protect oysters against POMS, and if microbiota characteristics might be predictive of oyster mortalities. To tackle this issue, we transferred full-sib progenies of resistant and susceptible oyster families from hatchery to the field during a period in favor of POMS. After 5 days of transplantation, oysters from each family were either sampled for individual microbiota analyses using 16S rRNA gene-metabarcoding or transferred into facilities to record their survival using controlled condition. As expected, all oysters from susceptible families died, and all oysters from the resistant family survived. Quantification of OsHV-1 and bacteria showed that 5 days of transplantation were long enough to contaminate oysters by POMS, but not for entering the pathogenesis process. Thus, it was possible to compare microbiota characteristics between resistant and susceptible oysters families at the early steps of infection. Strikingly, we found that microbiota evenness and abundances of Cyanobacteria (Subsection III, family I), Mycoplasmataceae, Rhodobacteraceae, and Rhodospirillaceae were significantly different between resistant and susceptible oyster families. We concluded that these microbiota characteristics might predict oyster mortalities. Article in Journal/Newspaper Crassostrea gigas Pacific oyster Université de Perpignan: HAL Frontiers in Microbiology 11