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      High temperature induces transcriptomic changes in Crassostrea gigas that hinder progress of ostreid herpesvirus (OsHV-1) and promote survival

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          ABSTRACT

          Of all environmental factors, seawater temperature plays a decisive role in triggering marine diseases. Like fever in vertebrates, high seawater temperature could modulate the host response to pathogens in ectothermic animals. In France, massive mortality of Pacific oysters, Crassostrea gigas, caused by the ostreid herpesvirus 1 (OsHV-1) is markedly reduced when temperatures exceed 24°C in the field. In the present study we assess how high temperature influences the host response to the pathogen by comparing transcriptomes (RNA sequencing) during the course of experimental infection at 21°C (reference) and 29°C. We show that high temperature induced host physiological processes that are unfavorable to the viral infection. Temperature influenced the expression of transcripts related to the immune process and increased the transcription of genes related to the apoptotic process, synaptic signaling and protein processes at 29°C. Concomitantly, the expression of genes associated with catabolism, metabolite transport, macromolecule synthesis and cell growth remained low from the first stage of infection at 29°C. Moreover, viral entry into the host might have been limited at 29°C by changes in extracellular matrix composition and protein abundance. Overall, these results provide new insights into how environmental factors modulate host–pathogen interactions.

          Abstract

          Summary: New insights into the mechanisms underlying the high survival of oysters infected with OsHV-1 at 29°C, inducing host physiological processes that are unfavorable to the viral infection.

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          Most cited references71

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          edgeR: a Bioconductor package for differential expression analysis of digital gene expression data

          Summary: It is expected that emerging digital gene expression (DGE) technologies will overtake microarray technologies in the near future for many functional genomics applications. One of the fundamental data analysis tasks, especially for gene expression studies, involves determining whether there is evidence that counts for a transcript or exon are significantly different across experimental conditions. edgeR is a Bioconductor software package for examining differential expression of replicated count data. An overdispersed Poisson model is used to account for both biological and technical variability. Empirical Bayes methods are used to moderate the degree of overdispersion across transcripts, improving the reliability of inference. The methodology can be used even with the most minimal levels of replication, provided at least one phenotype or experimental condition is replicated. The software may have other applications beyond sequencing data, such as proteome peptide count data. Availability: The package is freely available under the LGPL licence from the Bioconductor web site (http://bioconductor.org). Contact: mrobinson@wehi.edu.au
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            Colorimetric Method for Determination of Sugars and Related Substances

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              SortMeRNA: fast and accurate filtering of ribosomal RNAs in metatranscriptomic data.

              The application of next-generation sequencing (NGS) technologies to RNAs directly extracted from a community of organisms yields a mixture of fragments characterizing both coding and non-coding types of RNAs. The task to distinguish among these and to further categorize the families of messenger RNAs and ribosomal RNAs (rRNAs) is an important step for examining gene expression patterns of an interactive environment and the phylogenetic classification of the constituting species. We present SortMeRNA, a new software designed to rapidly filter rRNA fragments from metatranscriptomic data. It is capable of handling large sets of reads and sorting out all fragments matching to the rRNA database with high sensitivity and low running time.
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                Author and article information

                Journal
                J Exp Biol
                J Exp Biol
                JEB
                jexbio
                The Journal of Experimental Biology
                The Company of Biologists Ltd
                0022-0949
                1477-9145
                15 October 2020
                15 October 2020
                15 October 2020
                : 223
                : 20
                : jeb226233
                Affiliations
                [1 ]Ifremer, Université de Brest, CNRS, IRD, LEMAR , F-29280 Plouzané, France
                [2 ]Cawthron Institute , 98 Halifax Street East, Private Bag 2, Nelson 7042, New Zealand
                [3 ]Department of Comparative Biomedicine and Food Science, University of Padova , Viale dell'Università 16, 35020 Legnaro, Padova, Italy
                [4 ]IHPE, Université de Montpellier, CNRS, Ifremer, Université de Perpignan , Via Domitia , F-34095 Montpellier, France
                Author notes
                [*]

                These authors contributed equally to this work

                []Author for correspondence ( elodie.fleury@ 123456ifremer.fr )
                Author information
                http://orcid.org/0000-0002-8546-6680
                Article
                JEB226233
                10.1242/jeb.226233
                7578350
                32816959
                93a2b8af-5de9-464d-8074-aa864a04a7b4
                © 2020. Published by The Company of Biologists Ltd

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution and reproduction in any medium provided that the original work is properly attributed.

                History
                : 6 April 2020
                : 7 August 2020
                Funding
                Funded by: French Ministry of Environment, Energy and Sea;
                Award ID: 16/1212569
                Funded by: Horizon 2020 Research and innovation european programme;
                Categories
                Research Article

                Molecular biology
                anti-viral molecular pathway,host–pathogen interaction,marine disease,oshv-1,resistance,temperature

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