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Identification of differentially expressed Atlantic salmon miRNAs responding to salmonid alphavirus (SAV) infection

Overview of attention for article published in BMC Genomics, May 2017
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Title
Identification of differentially expressed Atlantic salmon miRNAs responding to salmonid alphavirus (SAV) infection
Published in
BMC Genomics, May 2017
DOI 10.1186/s12864-017-3741-3
Pubmed ID
Authors

Rune Andreassen, Nardos Tesfaye Woldemariam, Ine Østråt Egeland, Oleg Agafonov, Hilde Sindre, Bjørn Høyheim

Abstract

MicroRNAs (miRNAs) control multiple biological processes including the innate immune responses by negative post-transcriptional regulation of gene expression. As there were no studies on the role(s) of miRNAs in viral diseases in Atlantic salmon, we aimed to identify miRNAs responding to salmonid alphavirus (SAV) infection. Their expression were studied at different time points post infection with SAV isolates associated with different mortalities. Furthermore, the genome sequences of the identified miRNAs were analysed to reveal putative cis-regulatory elements, and, finally, their putative target genes were predicted. Twenty differentially expressed miRNAs (DE miRNAs) were identified. The expression of the majority of these increased post infection with maximum levels reached after the viral load were stabilized or decreasing. On the other hand, some miRNAs (e.g. the miRNA-21 family) showed decreased expression at the early time points post infection. There were significant differences in the temporal expression of individual miRNA associated with different SAV isolates. Target gene prediction in SAV responsive immune network genes showed that seventeen of the DE miRNAs could target 24 genes (e.g. IRF3, IRF7). Applying the Atlantic salmon transcriptome as input 28 more immune network genes were revealed as putative targets (e.g. IRF5, IRF4). The majority of the predicted target genes promote inflammatory response. The upstream sequences of the miRNA genes revealed a high density of cis-regulatory sequences known as binding sites for immune network transcription factors (TFs). A high expression in the late phase could therefore be due to increased transcription promoted by immune response activated TFs. Based on the in silico target predictions, we discuss their putative roles as early promotors or late inhibitors of inflammation. We propose that the differences in expressions associated with different SAV isolates could contribute to their differences in mortality rates. This study represents the first steps in exploring miRNAs important in viral-host interaction in Atlantic salmon. We identified several miRNAs responding to SAV infection. Some likely to prohibit harmful inflammation while other may promote an early immune response. Their predicted functions need to be validated and further studied in functional assays to fully understand their roles in immune homeostasis.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 42 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 24%
Researcher 5 12%
Student > Master 4 10%
Student > Doctoral Student 3 7%
Student > Bachelor 2 5%
Other 3 7%
Unknown 15 36%
Readers by discipline Count As %
Agricultural and Biological Sciences 10 24%
Biochemistry, Genetics and Molecular Biology 8 19%
Immunology and Microbiology 3 7%
Veterinary Science and Veterinary Medicine 1 2%
Psychology 1 2%
Other 1 2%
Unknown 18 43%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 24 September 2017.
All research outputs
#15,457,417
of 22,968,808 outputs
Outputs from BMC Genomics
#6,720
of 10,686 outputs
Outputs of similar age
#194,912
of 310,942 outputs
Outputs of similar age from BMC Genomics
#142
of 215 outputs
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