FN Archimer Export Format
PT J
TI Microbiota Composition and Evenness Predict Survival Rate of Oysters Confronted to Pacific Oyster Mortality Syndrome
BT 
AF Clerissi, Camille
   de Lorgeril, Julien
   Petton, Bruno
   Lucasson, Aude
   Escoubas, Jean Michel
   Gueguen, Yannick
   Dégremont, Lionel
   Mitta, Guillaume
   Toulza, Eve
AS 1:1,2;2:1;3:3;4:6;5:5;6:1;7:4;8:7;9:7;
FF 1:PDG-RBE-IHPE;2:PDG-RBE-IHPE;3:PDG-RBE-PFOM-LPI;4:;5:;6:PDG-RBE-IHPE;7:PDG-RBE-SGMM-LGPMM;8:;9:;
C1 IHPE, Univ. Montpellier, CNRS, Ifremer, Univ. Perpignan Via Domitia, Perpignan, France
   PSL Université Paris: EPHE-UPVD-CNRS, USR 3278 CRIOBE, Université de Perpignan, Perpignan, France
   Ifremer, LEMAR UMR 6539 (Université de Bretagne Occidentale, CNRS, IRD, Ifremer), Argenton-en-Landunvez, France
   Ifremer, RBE-SG2M-LGPMM, La Tremblade, France
   IHPE, Univ. Montpellier, CNRS, Ifremer, Univ. Perpignan Via Domitia, Perpignan, France
   IHPE, Univ. Montpellier, CNRS, Ifremer, Univ. Perpignan Via Domitia, Perpignan, France
   IHPE, Univ. Montpellier, CNRS, Ifremer, Univ. Perpignan Via Domitia, Perpignan, France
C2 IFREMER, FRANCE
   UNIV PERPIGNAN, FRANCE
   IFREMER, FRANCE
   IFREMER, FRANCE
   CNRS, FRANCE
   UNIV MONTPELLIER, FRANCE
   UNIV PERPIGNAN, FRANCE
SI MONTPELLIER
   ARGENTON
   LA TREMBLADE
SE PDG-RBE-IHPE
   PDG-RBE-PFOM-LPI
   PDG-RBE-SGMM-LGPMM
UM LEMAR
   IHPE
IN WOS Ifremer UPR
   WOS Ifremer UMR
   WOS Cotutelle UMR
   DOAJ
   copubli-france
   copubli-univ-france
IF 3.941
TC 42
UR https://archimer.ifremer.fr/doc/00621/73332/72500.pdf
   https://archimer.ifremer.fr/doc/00621/73332/72504.pdf
   https://archimer.ifremer.fr/doc/00621/73332/72507.tiff
   https://archimer.ifremer.fr/doc/00621/73332/72509.tiff
   https://archimer.ifremer.fr/doc/00621/73332/72510.tiff
   https://archimer.ifremer.fr/doc/00621/73332/72511.xlsx
   https://archimer.ifremer.fr/doc/00621/73332/72513.xlsx
   https://archimer.ifremer.fr/doc/00621/73332/72517.xlsx
   https://archimer.ifremer.fr/doc/00621/73332/72518.xlsx
   https://archimer.ifremer.fr/doc/00621/73332/72519.xlsx
LA English
DT Article
DE ;holobiont;microbiome;metabarcoding;fitness;bacteria
AB 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. 
PY 2020
PD FEB
SO Frontiers In Microbiology
SN 1664-302X
PU Frontiers Media SA
VL 11
IS 311
UT 000525167100001
DI 10.3389/fmicb.2020.00311
ID 73332
ER

EF