SEEK ID: https://fairdomhub.org/people/683
Location: Norway
ORCID: https://orcid.org/0000-0002-4056-0606
Joined: 31st May 2016
Expertise: Not specified
Tools: Not specified
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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 ...
Projects: GenoSysFat, DigiSal, SEEK tutorial for DigiSal, DigiSal-BT8121
Web page: http://tinyurl.com/digisal
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 ...
Programme: The Digital Salmon
Public web page: http://tinyurl.com/digisal
Organisms: Danio rerio, Salmo salar, Oncorhynchus mykiss
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 ...
Programme: The Digital Salmon
Public web page: http://tinyurl.com/genosysfat
Organisms: Danio rerio, Salmo salar, Oncorhynchus mykiss
16S rRNA amplicon sequencing (Illumina MiSeq, V3-V4 region) to assess community structure.
Submitter: Jon Olav Vik
Assay type: Experimental Assay Type
Technology type: Next generation sequencing
Investigation: Omega-3 metabolism of salmon in relation to die...
Organisms: Salmo salar
SOPs: 16S metagenomic sequencing library preparations, DNA extraction from intestinal samples
Data files: Combined taxonomy table from freshwater and sal..., Feed switch 2015-09 Solbergstranda FASTA for gu..., Feed switch 2015-09 Solbergstranda gut microbio..., Feed switch 2016-01 Solbergstranda FASTA for gu..., Feed switch 2016-01 Solbergstranda gut microbio...
Snapshots: No snapshots
This is the fatty acid profile data from the freshwater portion of the feed switch trial. The last column has the sample ID eg: D0_MA-L-1/9_6 (Day 0, MA- Marine oil, L-liver, 1/9 sept 1, fish number 6
Fatty acid Systematic Name C14:0 Myristic acid myristin-syre C16:0 Palmitic acid palmitin-syre C16:1n7 Palmitoleic palmitolein-syre C17:0 C17:1 C18:0 stearic acid stearin-syre 18:1n9c oleic acid olje-syre C18:2n6c linoleic acid linolsyre C20:1 eicosenoic acid C18:3n3 linolenic acid linolensyre C20:2 ...
Creators: Graceline Tina Kirubakaran, Inga Leena Angell, Thomas Harvey, Jon Olav Vik, Magny Sidsel Thomassen
Submitter: Graceline Tina Kirubakaran
FASTA file of representative sequences for operational taxonomic units in gut microbiota analyses from feed-switch experiment at Solbergstrand January 2016.
Creators: Inga Leena Angell, Jon Olav Vik, Graceline Tina Kirubakaran, Sahar Hassani
Submitter: Inga Leena Angell
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 ...
Creators: Inga Leena Angell, Jon Olav Vik, Graceline Tina Kirubakaran, Sahar Hassani
Submitter: Inga Leena Angell
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 ...
Creators: Inga Leena Angell, Jon Olav Vik, Graceline Tina Kirubakaran, Sahar Hassani
Submitter: Inga Leena Angell
Combined taxonomy table of abundance of OTUs (Operational Taxonomy Units) in both freshwater and saltwater samples from 16S V3-V4 Illumina sequencing of gut microbiota. Primers used for sequencing are given in https://fairdomhub.org/sops/270 The OTUs are presented in number of counts per sample (n=349). Each row represent one sample. Raw data are available in the Sequence Read Archive database under accession number SRP119730 (https://trace.ncbi.nlm.nih.gov/Traces/sra/?study=SRP119730).
Creators: Inga Leena Angell, Lars Snipen, Jon Olav Vik
Submitter: Inga Leena Angell
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.
Creators: Inga Leena Angell, Jon Olav Vik, Graceline Tina Kirubakaran, Sahar Hassani
Submitter: Inga Leena Angell
Investigations: Omega-3 metabolism of salmon in relation to die... and 1 hidden item
Studies: GSF1: Salmon feed-switch experiment vegetable a... and 1 hidden item
Assays: Feed switch 2015-09, 2016-01 Solbergstranda, gu... and 1 hidden item
All creators
Describes how the DNA was isolated from salmon intestinal samples before preparations of 16S rRNA gene amplicons for the Illumina MiSeq system.
Creators: Stuart Owen, Sahar Hassani, RAGNHILD ÅNESTAD, Jesse van Dam, Dagmar Waltemath, Kristina Vagonyte-Hallan, Kristil Sundsaasen, Natalie Stanford, Lars Snipen, Sandve Simen, Jacob Seilø Torgersen, Inga Leena Angell, Dominic Nanton, Vitor Martins dos Santos, Torgeir R. Hvidsten, Thomas Harvey, Hanne Hellerud Hansen, Fabian Grammes, Arne Gjuvsland, Gareth Gillard, Graceline Tina Kirubakaran, Jon Olav Vik
Submitter: Inga Leena Angell
Abstract (Expand)
Authors: Y Jin, IL Angell, SR Sandve, LG Snipen, Y Olsen, K Rudi
Date Published: 24th Jan 2019
Publication Type: Not specified
DOI: 10.3354/aei00297
Citation: Aquacult. Environ. Interact. 11 : 31
Abstract (Expand)
Authors: Knut Rudi, Inga Leena Angell, Phillip B. Pope, Jon Olav Vik, Simen Rød Sandve, Lars-Gustav Snipen
Date Published: 15th Jan 2018
Publication Type: Not specified
DOI: 10.1128/AEM.01974-17
Citation: Appl Environ Microbiol 84(2) : e01974-17
Abstract (Expand)
Author: R. C. Edgar
Date Published: 18th Aug 2013
Publication Type: Not specified
PubMed ID: 23955772
Citation: Nat Methods. 2013 Oct;10(10):996-8. doi: 10.1038/nmeth.2604. Epub 2013 Aug 18.
Abstract (Expand)
Author: R. C. Edgar
Date Published: 12th Aug 2010
Publication Type: Not specified
PubMed ID: 20709691
Citation: Bioinformatics. 2010 Oct 1;26(19):2460-1. doi: 10.1093/bioinformatics/btq461. Epub 2010 Aug 12.