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

Type Article
Date 2020-02
Language English
Author(s) Clerissi Camille1, 2, de Lorgeril JulienORCID1, Petton BrunoORCID3, Lucasson Aude6, Escoubas Jean Michel5, Gueguen YannickORCID1, Dégremont LionelORCID4, Mitta GuillaumeORCID7, Toulza Eve7
Affiliation(s) 1 : IHPE, Univ. Montpellier, CNRS, Ifremer, Univ. Perpignan Via Domitia, Perpignan, France
2 : PSL Université Paris: EPHE-UPVD-CNRS, USR 3278 CRIOBE, Université de Perpignan, Perpignan, France
3 : Ifremer, LEMAR UMR 6539 (Université de Bretagne Occidentale, CNRS, IRD, Ifremer), Argenton-en-Landunvez, France
4 : Ifremer, RBE-SG2M-LGPMM, La Tremblade, France
5 : IHPE, Univ. Montpellier, CNRS, Ifremer, Univ. Perpignan Via Domitia, Perpignan, France
6 : IHPE, Univ. Montpellier, CNRS, Ifremer, Univ. Perpignan Via Domitia, Perpignan, France
7 : IHPE, Univ. Montpellier, CNRS, Ifremer, Univ. Perpignan Via Domitia, Perpignan, France
Source Frontiers In Microbiology (1664-302X) (Frontiers Media SA), 2020-02 , Vol. 11 , N. 311 , P. 11p.
DOI 10.3389/fmicb.2020.00311
WOS© Times Cited 42
Keyword(s) holobiont, microbiome, metabarcoding, fitness, bacteria
Abstract

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.

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Data_Sheet_1 2 105 KB Open access
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Table_1 12 KB Open access
Table_2 6 MB Open access
Table_3 63 KB Open access
Table_4 67 KB Open access
Table_5 34 KB Open access
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How to cite 

Clerissi Camille, de Lorgeril Julien, Petton Bruno, Lucasson Aude, Escoubas Jean Michel, Gueguen Yannick, Dégremont Lionel, Mitta Guillaume, Toulza Eve (2020). Microbiota Composition and Evenness Predict Survival Rate of Oysters Confronted to Pacific Oyster Mortality Syndrome. Frontiers In Microbiology, 11(311), 11p. Publisher's official version : https://doi.org/10.3389/fmicb.2020.00311 , Open Access version : https://archimer.ifremer.fr/doc/00621/73332/