Sahar Hassani

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 ...

Collection of training material for SEEK/FAIRDOMHub

Salmon farmed on modern feeds contains less of the healthy, long-chain fatty acids (EPA and DHA) than before. Up until the turn of the millennium, farmed salmon were fed fish oil as a replacement for their omega-3 rich natural prey. However, fish oil is now a scarce resource, and more than half of the fat in modern feeds comes from plant oils that are inexpensive, but devoid of long-chain omega-3 fatty acids. How can we increase the omega-3 content of salmon on sustainable feeds?

One option is ...

This is a sandbox where DigiSal members can learn to use the SEEK.

Tutorial document: http://tinyurl.com/seek-ds17

The SEEK is a web interface to a database of research "assets" organised in a hierarchical "ISA structure" (investigation-study-assay) [1]. These are further organised into projects and programmes.

• Programme = Overarching research theme (The Digital Salmon)
• Project = Research grant (DigiSal, GenoSysFat)
• Investigation = a particular biological process, phenomenon or thing ...

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.

NB! The files here are the old version for the files in Lipidomics (Experimental Assay)

Lipidomic analysis by LC-MS of tissue samples from the GSF1 feed-switch experiment. Samples were analyzed at NTNU by Zdenka Bartosova and Per Bruheim.

There are two separate data files of lipid analysis in muscle and liver samples. Excel sheets contains both raw and normalised data of compounds abundance. Normalization to all compounds was used as a normalization method.

We have also performed a "normalization ...

Stranded RNAseq libraries were prepared from 1µg total RNA from liver tissue using TruSeq Stranded mRNA library preparation kit (Illumina, San Diego, USA) using double unique indices (#20022371), according to the manufacturer's instruction (Part 15031057 Rev.E). Libraries were sequenced at the Norwegian Sequencing Centre (NSC). All libraries were pooled, and the same pool was sequenced on 4 flow cell lanes on a HiSeq 3000 machine (Illumina), generating 100bp single-end reads. RNA sequencing files ...

Total lipids are extracted from tissues of white muscle, liver and whole brain from three fish per dietary treatment.

The three different CRISPR target sites within the elovl2 gene (T1-3) were characterised by Sanger sequencing, sequencing on average 8 clones per individual.

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.

Lipidomic analysis by UPC2-MS of tissue samples from the GSF1 feed-switch experiment. Samples were analyzed at NTNU by Zdenka Bartosova and Per Bruheim.

There are three separate data files of lipid analysis in muscle, liver and gut tissue samples. Excel sheets contains both raw and normalised data of compounds abundance. Normalization to all compounds was used as a normalization method.

Columns: Compound 0.93_858.7669n Anova (p) 0,044998264 q Value 0,009417222 Max Fold Change 1,644961431 Maximum ...

Salmon feed switch experiment: Lipid class quantitation for liver tissue samples (POS mode).

Lipid class abbreviations used: CE, cholesterol esters FC, free cholesterol Cer, ceramides HexCer, hexosyl ceramides (ie. galactosyl and glucosyl ceramides) MG, monoacylglycerols DG, diacylglycerols TG, triacylglycerols LPE, lysophosphatidylethanolamines LPC, lysophosphatidylcholines PC, phosphatidylcholines PE, phosphatidylethanolamines PG, phosphatidylglycerols SM, sphingomyelins.

Salmon feed switch experiment: Lipid class quantitation for muscle tissue samples (POS mode).

Lipid class abbreviations used: CE, cholesterol esters FC, free cholesterol Cer, ceramides HexCer, hexosyl ceramides (ie. galactosyl and glucosyl ceramides) MG, monoacylglycerols DG, diacylglycerols TG, triacylglycerols LPE, lysophosphatidylethanolamines LPC, lysophosphatidylcholines PC, phosphatidylcholines PE, phosphatidylethanolamines PG, phosphatidylglycerols SM, sphingomyelins.

Salmon feed switch experiment: Lipidomic data (POS mode) of gut tissue samples.

Salmon feed switch experiment: Lipidomic data (POS mode) of muscle tissue samples.

Salmon feed switch experiment: Lipid identification for muscle tissue samples (POS mode).

Lipid abbreviations used: CE, cholesterol esters Cer, ceramides GalCer, galactosyl ceramides GluCer, glucosyl ceramides MG, monoacylglycerols DG, diacylglycerols TG, triacylglycerols LPE, lysophosphatidylethanolamines LPC, lysophosphatidylcholines PC, phosphatidylcholines PE, phosphatidylethanolamines PG, phosphatidylglycerols PI, phosphatidylinositols PS, phosphatidylserines SM, sphingomyelins.

The 'O-' ...

Salmon feed switch experiment: Lipid identification for liver tissue samples (POS mode).

Lipid abbreviations used: CE, cholesterol esters Cer, ceramides GalCer, galactosyl ceramides GluCer, glucosyl ceramides MG, monoacylglycerols DG, diacylglycerols TG, triacylglycerols LPE, lysophosphatidylethanolamines LPC, lysophosphatidylcholines PC, phosphatidylcholines PE, phosphatidylethanolamines PG, phosphatidylglycerols PI, phosphatidylinositols PS, phosphatidylserines SM, sphingomyelins.

The 'O-' ...

Salmon feed switch experiment: Lipid identification for gut tissue samples (POS mode).

Lipid abbreviations used: CE, cholesterol esters Cer, ceramides GalCer, galactosyl ceramides GluCer, glucosyl ceramides MG, monoacylglycerols DG, diacylglycerols TG, triacylglycerols LPE, lysophosphatidylethanolamines LPC, lysophosphatidylcholines PC, phosphatidylcholines PE, phosphatidylethanolamines PG, phosphatidylglycerols PI, phosphatidylinositols PS, phosphatidylserines SM, sphingomyelins.

The 'O-' prefix ...

Salmon feed switch experiment: Lipid class quantitation for gut tissue samples (POS mode).

Lipid class abbreviations used: CE, cholesterol esters FC, free cholesterol Cer, ceramides HexCer, hexosyl ceramides (ie. galactosyl and glucosyl ceramides) MG, monoacylglycerols DG, diacylglycerols TG, triacylglycerols LPE, lysophosphatidylethanolamines LPC, lysophosphatidylcholines PC, phosphatidylcholines PE, phosphatidylethanolamines PG, phosphatidylglycerols SM, sphingomyelins.

Salmon feed switch experiment: Lipidomics data (POS mode) of liver samples.

Liver samples (salt water sampling) - Identification of compounds based on the LipidBlast database.

Salmon feed experiment: Lipidomic data (NEG mode) of liver samples from fresh water sampling.

Muscle samples (salt water sampling) - Identification of compounds based on the LipidBlast database.

Columns: Compound 8.60_759.5784n Compound ID GPCho(12:0/22:1) Accepted? Adducts M+H, M+Na Formula C42H82NO8P Score 51,1 Fragmentation Score 62,1 Mass Error (ppm) 0,808672852 Isotope Similarity 94,59106017 Theoretical Isotope Distribution 100 - 47 - 12.5 - 2.39 - 0.367 Link http://nonlinear.com/redirect/outbound?p=lipidblast&param=GPCho%2812%3A0%2F22%3A1%29 Description GPCho(12:0/22:1) Neutral ...

Liver samples (salt water sampling) - Identification of compounds based on the LipidBlast database.

Columns: Compound 8.60_759.5784n Compound ID GPCho(12:0/22:1) Accepted? Adducts M+H, M+Na Formula C42H82NO8P Score 51,1 Fragmentation Score 62,1 Mass Error (ppm) 0,808672852 Isotope Similarity 94,59106017 Theoretical Isotope Distribution 100 - 47 - 12.5 - 2.39 - 0.367 Link http://nonlinear.com/redirect/outbound?p=lipidblast¶m=GPCho%2812%3A0%2F22%3A1%29 Description GPCho(12:0/22:1) Neutral mass (Da) ...

FASTA file of representative sequences for operational taxonomic units in gut microbiota analyses from feed-switch experiment at Solbergstrand January 2016.

Gut microbiota analysis of fish sampled in january 2016. The data is found in row 335-548 and downwards (Sheet 1). The first 16 colums contain information about the fish, and the following columns (From R to AJO) each represent an OTU (Operational taxonomic unit) with the given taxonomy for each OTU presented in the bottom row. Sequencing depth was kept at 13000 sequences per sample, thus the numbers presented in the OTU columns represent the number of sequences matching the specific OTU from the ...

Gut microbiota analysis of the fish whose gross phenotypes are listed in https://fairdomhub.org/data_files/1244. Besides identification of the fish, the data are a 130 x 435 matrix showing amounts of operational taxonomic units (OTUs), one row per fish and one column per OTU (https://en.wikipedia.org/wiki/Operational_taxonomic_unit). Sequences that characterize each OTU are in https://fairdomhub.org/data_files/1317. Amounts are measured as the number out of 2000 sequences examined that contain a ...

FASTQ file made from AB1 files. Source: /mnt/users/fabig/DigiSal/crispr_RNAseq/sanger/data/fq

FASTQ file made from AB1 files. Source: /mnt/users/fabig/DigiSal/crispr_RNAseq/sanger/data/fq

FASTQ file made from AB1 files. Source: /mnt/users/fabig/DigiSal/crispr_RNAseq/sanger/data/fq

FASTQ file made from AB1 files. Source: /mnt/users/fabig/DigiSal/crispr_RNAseq/sanger/data/fq

Describes the workflow used for preparation of a 16S rRNA gene amplicon (V3-V4 region) Library for sequencing on a MiSeq platform (Illumina) using V3 sequencing chemistry with 300 base pairs paired-end reads.

Describes how the DNA was isolated from salmon intestinal samples before preparations of 16S rRNA gene amplicons for the Illumina MiSeq system.

Data modelling methods that are capable of maintaining block structure, as for example the block structure of the blocks of lipid classes, are called multi-block methods e.g. Consensus Principal Component Analysis (CPCA) and Multi-block Partial Least Squares Regression (MBPLSR). CPCA and MBPLR are two large families of MB methods. The developed methods can still be transferred to other data analysis methods. CPCA and MBPLSR which are extensions of PCA and PLSR to multi-block data sets can be ...