A hemocyte gene expression signature correlated with predictive capacity of oysters to survive Vibrio infections
International audience Background: The complex balance between environmental and host factors is an important determinant of susceptibility to infection. Disturbances of this equilibrium may result in multifactorial diseases as illustrated by the summer mortality syndrome, a worldwide and complex ph...
Published in: | BMC Genomics |
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ftunivnantes:oai:HAL:hal-02646013v1 2023-05-15T15:58:28+02:00 A hemocyte gene expression signature correlated with predictive capacity of oysters to survive Vibrio infections Rosa, Rafael Diego de Lorgeril, Julien Tailliez, Patrick Bruno, Roman Piquemal, David Bachère, Evelyne Université Montpellier 2 - Sciences et Techniques (UM2) Université Montpellier 1 (UM1) Ecologie microbienne des insectes et interactions hôte-pathogène (EMIP) Institut National de la Recherche Agronomique (INRA)-Université Montpellier 2 - Sciences et Techniques (UM2) Skuldtech CNPq-Brazil; Ifremer; CNRS; Agence Nationale de la Recherche 07/5210875/F 2012 https://hal.inrae.fr/hal-02646013 https://hal.inrae.fr/hal-02646013/document https://hal.inrae.fr/hal-02646013/file/2012_Rosa_BMC-Genomics_1.pdf https://doi.org/10.1186/1471-2164-13-252 en eng HAL CCSD BioMed Central info:eu-repo/semantics/altIdentifier/doi/10.1186/1471-2164-13-252 hal-02646013 https://hal.inrae.fr/hal-02646013 https://hal.inrae.fr/hal-02646013/document https://hal.inrae.fr/hal-02646013/file/2012_Rosa_BMC-Genomics_1.pdf doi:10.1186/1471-2164-13-252 PRODINRA: 214829 WOS: 000307947500001 info:eu-repo/semantics/OpenAccess EISSN: 1471-2164 BMC Genomics https://hal.inrae.fr/hal-02646013 BMC Genomics, BioMed Central, 2012, 13, ⟨10.1186/1471-2164-13-252⟩ Mollusk bivalve Mass mortality Transcriptome-wide analysis Digital gene expression Polymorphism Gene copy number Survival predictive biomarkers CRASSOSTREA-GIGAS BREAST-CANCER SUSCEPTIBILITY DISEASES POLYMORPHISMS NUCLEOTIDE Marine invertebrate Microfluidic qPCR Survival signature COPY NUMBER VARIATION PACIFIC OYSTERS IMMUNE-RESPONSE POPULATION [SDV]Life Sciences [q-bio] info:eu-repo/semantics/article Journal articles 2012 ftunivnantes https://doi.org/10.1186/1471-2164-13-252 2022-08-02T23:01:18Z International audience Background: The complex balance between environmental and host factors is an important determinant of susceptibility to infection. Disturbances of this equilibrium may result in multifactorial diseases as illustrated by the summer mortality syndrome, a worldwide and complex phenomenon that affects the oysters, Crassostrea gigas. The summer mortality syndrome reveals a physiological intolerance making this oyster species susceptible to diseases. Exploration of genetic basis governing the oyster resistance or susceptibility to infections is thus a major goal for understanding field mortality events. In this context, we used high-throughput genomic approaches to identify genetic traits that may characterize inherent survival capacities in C. gigas. Results: Using digital gene expression (DGE), we analyzed the transcriptomes of hemocytes (immunocompetent cells) of oysters able or not able to survive infections by Vibrio species shown to be involved in summer mortalities. Hemocytes were nonlethally collected from oysters before Vibrio experimental infection, and two DGE libraries were generated from individuals that survived or did not survive. Exploration of DGE data and microfluidic qPCR analyses at individual level showed an extraordinary polymorphism in gene expressions, but also a set of hemocyte-expressed genes whose basal mRNA levels discriminate oyster capacity to survive infections by the pathogenic V. splendidus LGP32. Finally, we identified a signature of 14 genes that predicted oyster survival capacity. Their expressions are likely driven by distinct transcriptional regulation processes associated or not associated to gene copy number variation (CNV). Conclusions: We provide here for the first time in oyster a gene expression survival signature that represents a useful tool for understanding mortality events and for assessing genetic traits of interest for disease resistance selection programs. Article in Journal/Newspaper Crassostrea gigas Université de Nantes: HAL-UNIV-NANTES Pacific BMC Genomics 13 1 |
institution |
Open Polar |
collection |
Université de Nantes: HAL-UNIV-NANTES |
op_collection_id |
ftunivnantes |
language |
English |
topic |
Mollusk bivalve Mass mortality Transcriptome-wide analysis Digital gene expression Polymorphism Gene copy number Survival predictive biomarkers CRASSOSTREA-GIGAS BREAST-CANCER SUSCEPTIBILITY DISEASES POLYMORPHISMS NUCLEOTIDE Marine invertebrate Microfluidic qPCR Survival signature COPY NUMBER VARIATION PACIFIC OYSTERS IMMUNE-RESPONSE POPULATION [SDV]Life Sciences [q-bio] |
spellingShingle |
Mollusk bivalve Mass mortality Transcriptome-wide analysis Digital gene expression Polymorphism Gene copy number Survival predictive biomarkers CRASSOSTREA-GIGAS BREAST-CANCER SUSCEPTIBILITY DISEASES POLYMORPHISMS NUCLEOTIDE Marine invertebrate Microfluidic qPCR Survival signature COPY NUMBER VARIATION PACIFIC OYSTERS IMMUNE-RESPONSE POPULATION [SDV]Life Sciences [q-bio] Rosa, Rafael Diego de Lorgeril, Julien Tailliez, Patrick Bruno, Roman Piquemal, David Bachère, Evelyne A hemocyte gene expression signature correlated with predictive capacity of oysters to survive Vibrio infections |
topic_facet |
Mollusk bivalve Mass mortality Transcriptome-wide analysis Digital gene expression Polymorphism Gene copy number Survival predictive biomarkers CRASSOSTREA-GIGAS BREAST-CANCER SUSCEPTIBILITY DISEASES POLYMORPHISMS NUCLEOTIDE Marine invertebrate Microfluidic qPCR Survival signature COPY NUMBER VARIATION PACIFIC OYSTERS IMMUNE-RESPONSE POPULATION [SDV]Life Sciences [q-bio] |
description |
International audience Background: The complex balance between environmental and host factors is an important determinant of susceptibility to infection. Disturbances of this equilibrium may result in multifactorial diseases as illustrated by the summer mortality syndrome, a worldwide and complex phenomenon that affects the oysters, Crassostrea gigas. The summer mortality syndrome reveals a physiological intolerance making this oyster species susceptible to diseases. Exploration of genetic basis governing the oyster resistance or susceptibility to infections is thus a major goal for understanding field mortality events. In this context, we used high-throughput genomic approaches to identify genetic traits that may characterize inherent survival capacities in C. gigas. Results: Using digital gene expression (DGE), we analyzed the transcriptomes of hemocytes (immunocompetent cells) of oysters able or not able to survive infections by Vibrio species shown to be involved in summer mortalities. Hemocytes were nonlethally collected from oysters before Vibrio experimental infection, and two DGE libraries were generated from individuals that survived or did not survive. Exploration of DGE data and microfluidic qPCR analyses at individual level showed an extraordinary polymorphism in gene expressions, but also a set of hemocyte-expressed genes whose basal mRNA levels discriminate oyster capacity to survive infections by the pathogenic V. splendidus LGP32. Finally, we identified a signature of 14 genes that predicted oyster survival capacity. Their expressions are likely driven by distinct transcriptional regulation processes associated or not associated to gene copy number variation (CNV). Conclusions: We provide here for the first time in oyster a gene expression survival signature that represents a useful tool for understanding mortality events and for assessing genetic traits of interest for disease resistance selection programs. |
author2 |
Université Montpellier 2 - Sciences et Techniques (UM2) Université Montpellier 1 (UM1) Ecologie microbienne des insectes et interactions hôte-pathogène (EMIP) Institut National de la Recherche Agronomique (INRA)-Université Montpellier 2 - Sciences et Techniques (UM2) Skuldtech CNPq-Brazil; Ifremer; CNRS; Agence Nationale de la Recherche 07/5210875/F |
format |
Article in Journal/Newspaper |
author |
Rosa, Rafael Diego de Lorgeril, Julien Tailliez, Patrick Bruno, Roman Piquemal, David Bachère, Evelyne |
author_facet |
Rosa, Rafael Diego de Lorgeril, Julien Tailliez, Patrick Bruno, Roman Piquemal, David Bachère, Evelyne |
author_sort |
Rosa, Rafael Diego |
title |
A hemocyte gene expression signature correlated with predictive capacity of oysters to survive Vibrio infections |
title_short |
A hemocyte gene expression signature correlated with predictive capacity of oysters to survive Vibrio infections |
title_full |
A hemocyte gene expression signature correlated with predictive capacity of oysters to survive Vibrio infections |
title_fullStr |
A hemocyte gene expression signature correlated with predictive capacity of oysters to survive Vibrio infections |
title_full_unstemmed |
A hemocyte gene expression signature correlated with predictive capacity of oysters to survive Vibrio infections |
title_sort |
hemocyte gene expression signature correlated with predictive capacity of oysters to survive vibrio infections |
publisher |
HAL CCSD |
publishDate |
2012 |
url |
https://hal.inrae.fr/hal-02646013 https://hal.inrae.fr/hal-02646013/document https://hal.inrae.fr/hal-02646013/file/2012_Rosa_BMC-Genomics_1.pdf https://doi.org/10.1186/1471-2164-13-252 |
geographic |
Pacific |
geographic_facet |
Pacific |
genre |
Crassostrea gigas |
genre_facet |
Crassostrea gigas |
op_source |
EISSN: 1471-2164 BMC Genomics https://hal.inrae.fr/hal-02646013 BMC Genomics, BioMed Central, 2012, 13, ⟨10.1186/1471-2164-13-252⟩ |
op_relation |
info:eu-repo/semantics/altIdentifier/doi/10.1186/1471-2164-13-252 hal-02646013 https://hal.inrae.fr/hal-02646013 https://hal.inrae.fr/hal-02646013/document https://hal.inrae.fr/hal-02646013/file/2012_Rosa_BMC-Genomics_1.pdf doi:10.1186/1471-2164-13-252 PRODINRA: 214829 WOS: 000307947500001 |
op_rights |
info:eu-repo/semantics/OpenAccess |
op_doi |
https://doi.org/10.1186/1471-2164-13-252 |
container_title |
BMC Genomics |
container_volume |
13 |
container_issue |
1 |
_version_ |
1766394222374551552 |