Microbiota composition and evenness predict survival rate of oysters confronted to Pacific Oyster Mortality Syndrome

牡蛎 生物 牡蛎 太平洋牡蛎 鸵鸟科 移植 动物 生态学 渔业 贝类 水生动物 内科学 医学
作者
Camille Clérissi,Julien de Lorgeril,Bruno Petton,Aude Lucasson,Jean-Michel Escoubas,Yannick Gueguen,Lionel Dégremont,Guillaume Mitta,Ève Toulza
出处
期刊: [Cold Spring Harbor Laboratory]
被引量:5
标识
DOI:10.1101/378125
摘要

Abstract Pacific Oyster Mortality Syndrome (POMS) affects Crassostrea gigas oysters worldwide and caused important economic losses. Disease dynamics 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 oyster protection to 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 favour of POMS. After five 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 five days of transplantation was 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 oyster 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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