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Peer-reviewed veterinary case report

Influence of colour background on anti-viral activity against viral haemorrhagic septicaemia virus in zebrafish regulated by circadian rhythm signalling pathway.

Journal:
Journal of fish diseases
Year:
2024
Authors:
Cho, Se-Hyun et al.
Affiliation:
Department of Food Science and Technology and Foodborne Virus Research Center · South Korea

Abstract

The influence of colour background on the regulation of behavioural and physiological responses in zebrafish is widely recognized. However, its specific effect on virus infection in zebrafish remains unclear. This study aimed to explore the susceptibility of zebrafish to viral haemorrhagic septicaemia virus (VHSV) infection in relation to background colour, investigate the underlying mechanisms, and elucidate the involvement of key molecules, using proteomic and gene expression analyses. The results revealed that zebrafish housed in a blue tank exhibited higher survival rates and considerably reduced VHSV replication compared to those housed in a yellow tank. Further, up-regulation of apolipoprotein 1 (APOA1) was identified as a crucial shared mechanism associated with survival in zebrafish exposed to VHSV infection and reared in a blue background. The mRNA expression level of bmal1a, a core gene involved in the circadian rhythm, was consistently downregulated in fish from the blue tank compared to fish from the yellow tank, regardless of infection status. Subsequently, zebrafish in the blue tank were exposed to daylight conditions to stimulate per2 and pgc1a expression, aiming to investigate their potential impact on VHSV infection. The validity of these interconnected events, triggered by background colour, involving APOA1 up-regulation, circadian rhythm modulation, and antiviral responses, was confirmed by treatments with hesperetin and cyclosporine A, an activator and inhibitor of apoa1 respectively. Our findings revealed the influence of background colour on the apoa1 expression level, thus establishing the involvement of a novel network through circadian rhythm signalling.

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Original publication: https://pubmed.ncbi.nlm.nih.gov/38018296/