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微生物群组成和均匀度可预测遭遇太平洋牡蛎死亡综合征的牡蛎的存活率。

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

作者信息

Clerissi Camille, de Lorgeril Julien, Petton Bruno, Lucasson Aude, Escoubas Jean-Michel, Gueguen Yannick, Dégremont Lionel, Mitta Guillaume, Toulza Eve

机构信息

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.

出版信息

Front Microbiol. 2020 Feb 27;11:311. doi: 10.3389/fmicb.2020.00311. eCollection 2020.

DOI:10.3389/fmicb.2020.00311
PMID:32174904
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7056673/
Abstract

Pacific Oyster Mortality Syndrome (POMS) affects oysters worldwide and causes important economic losses. Disease dynamic was recently deciphered and revealed a multiple and progressive infection caused by the 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.

摘要

太平洋牡蛎死亡综合征(POMS)影响着全球的牡蛎,并造成了重大经济损失。最近对该疾病的动态变化进行了解析,发现它是由牡蛎疱疹病毒1型微变种(OsHV-1 μVar)引起的多重渐进性感染,引发免疫抑制,随后微生物群不稳定,机会性细菌病原体导致菌血症。然而,微生物群是否可能参与保护牡蛎抵抗POMS,以及微生物群特征是否可以预测牡蛎死亡率,仍然未知。为了解决这个问题,我们在有利于POMS发生的时期,将抗性和易感牡蛎家系的全同胞后代从孵化场转移到野外。移植5天后,每个家系的牡蛎要么被采样用于使用16S rRNA基因代谢条形码进行个体微生物群分析,要么被转移到设施中,在受控条件下记录它们的存活情况。正如预期的那样,所有易感家系的牡蛎都死亡了,而抗性家系的所有牡蛎都存活了下来。对OsHV-1和细菌的定量分析表明,5天的移植时间足以使牡蛎被POMS污染,但还未进入发病过程。因此,有可能在感染的早期阶段比较抗性和易感牡蛎家系之间的微生物群特征。令人惊讶的是,我们发现抗性和易感牡蛎家系之间的微生物群均匀度以及蓝细菌(第三亚组,第一科)、支原体科、红杆菌科和红螺菌科的丰度存在显著差异。我们得出结论,这些微生物群特征可能预测牡蛎死亡率。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c990/7056673/4e2a9e086d9b/fmicb-11-00311-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c990/7056673/c60e809417cb/fmicb-11-00311-g001.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c990/7056673/6db8c457e956/fmicb-11-00311-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c990/7056673/f73f1a336f04/fmicb-11-00311-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c990/7056673/56317454e25c/fmicb-11-00311-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c990/7056673/4e2a9e086d9b/fmicb-11-00311-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c990/7056673/c60e809417cb/fmicb-11-00311-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c990/7056673/6b197230e42b/fmicb-11-00311-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c990/7056673/3cce116206aa/fmicb-11-00311-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c990/7056673/6db8c457e956/fmicb-11-00311-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c990/7056673/f73f1a336f04/fmicb-11-00311-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c990/7056673/56317454e25c/fmicb-11-00311-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c990/7056673/4e2a9e086d9b/fmicb-11-00311-g007.jpg

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