RNAseq data

Version 1

Salmon farming in the future must navigate conflicting and shifting demands of sustainability, shifting feed prices, disease, and product quality. The industry needs to develop a flexible, integrated basis of knowledge for rapid response to new challenges. The Digital Salmon will be an ensemble of mathematical descriptions of salmon physiology, combining mathematics, high-dimensional data analysis, computer science and measurement technology with genomics and experimental biology into a concerted ...

Towards the Digital Salmon: From a reactive to a pre-emptive research strategy in aquaculture (DigiSal)

Salmon farming in the future must navigate conflicting and shifting demands of sustainability, shifting feed prices, disease, and product quality. The industry needs to develop a flexible, integrated basis of knowledge for rapid response to new challenges. Project DigiSal will lay the foundations for a Digital Salmon: an ensemble of mathematical descriptions of salmon physiology, combining ...

The aim of this investigation is to understand molecular mechanisms of PUFA biosynthesis and regulation in order to enable the sustainable use of vegetable oils in aquafeeds as current sources of fish oils are unable to meet increasing demands for omega-3 PUFAs. By generating gene knockouts, we would like to study the genes that are crucial for multi-tissue synthesis of PUFA synthesis in vivo.

By generating CRISPR-mediated elovl2 knockout, we are planning to study the crucial role of elovl2 for multi-tissue synthesis of 22:6n-3 in vivo. Endogenously synthesized PUFAs are important for transcriptional regulation of lipogenic genes in Atlantic salmon. This study demonstrates key roles of elovl2 at two penultimate steps of PUFA synthesis in vivo and suggests Srebp-1 as a main regulator of endogenous PUFA synthesis in Atlantic salmon.

RNAseq is utilised to validate the SnpEff annotation predictions for aberrant splicing. For this purpose the percentage exon retention for exons 4, 6 and 7 are calculated using RNAseq data.