SEEK ID: https://fairdomhub.org/publications/247
PubMed ID: 20383131
Projects: DigiSal, GenoSysFat
Publication type: Not specified
Journal: Nat Methods
Citation: Nat Methods. 2010 May;7(5):335-6. doi: 10.1038/nmeth.f.303. Epub 2010 Apr 11.
Date Published: 11th Apr 2010
Registered Mode: Not specified
Authors: J. G. Caporaso, J. Kuczynski, J. Stombaugh, K. Bittinger, F. D. Bushman, E. K. Costello, N. Fierer, A. G. Pena, J. K. Goodrich, J. I. Gordon, G. A. Huttley, S. T. Kelley, D. Knights, J. E. Koenig, R. E. Ley, C. A. Lozupone, D. McDonald, B. D. Muegge, M. Pirrung, J. Reeder, J. R. Sevinsky, P. J. Turnbaugh, W. A. Walters, J. Widmann, T. Yatsunenko, J. Zaneveld, R. Knight
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Systems biology for salmon farming is what I do. I lead the DigiSal project (http://tinyurl.com/digisal), whose full title is "Towards the Digital Salmon: From a reactive to a pre-emptive research strategy in aquaculture". DigiSal is part of Digital Life, the first call dedicated to systems biology by the Research Council of Norway. I'm also one of the lead modellers in GenoSysFat (http://tinyurl.com/genosysfat), working to improve the omega-3 content of salmon farmed on sustainable feeds by ...
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
Record of weight, length and sex of fish sampled after feed switch between vegetable and marine oil, in September 2015 (freshwater) and January 2016 (seawater). Young fry arrived at Solbergstranda 2015-02-05 17:20.
Submitter: Thomas Harvey
Assay type: Experimental Assay Type
Technology type: Next generation sequencing
Investigation: Omega-3 metabolism of salmon in relation to die...
Organisms: Salmo salar
SOPs: Schedule for transition to seawater in GSF1, Ge...
Data files: Description of feeds for crossover feeding tria..., Feed switch 2015-09, 2016-01 Solbergstranda gro..., Metabolomics sampleID Old to New
Snapshots: No snapshots
Spreadsheet of weight, length and sex of fish sampled after feed switch between vegetable and marine oil, in September 2015 (freshwater) and January 2016 (seawater).
Spreadsheet columns are:
- Date (YYYY-MM-DD)
- Day (day zero is the day before first feeding with new feed)
- Inputter (person entering data into Excel)
- Tank (1, 2, 4, 5 with Atlantic salmon, 3 and 6 with rainbow trout)
- Section (tanks were divided in half using perforated walls)
- Treatment (explained in sheet "treatments")
...
Creators: Jon Olav Vik, Jacob Seilø Torgersen, Arne Gjuvsland, Sandve Simen, Yang Jin, Tom Harvey
Submitter: Jon Olav Vik
At the GenoSysFat startup meeting 2015-04-22, Dominic Nanton of EWOS described the feeds they made for GenoSysFat.
Describes recipes with linseed oil (LNO) and palm oil (PO) to provide the 18:3n-3 precursor to EPA and DHA and match saturation of 100% fish oil (FO) control diet at ca 0.7 mass% EPA+DHA.
Page 2: Overview Page 3-4: Description of feeds. Feed no., Code, Initial fish weight (g), Feed size (mm), Fish number (3000), Feed (kg) Page 5-7: Feed formulations. Feed number, Feed name, Feed size ...
Creators: Jon Olav Vik, Dominic Nanton
Submitter: Jon Olav Vik
A file which combine previous metabolomics samples ID to new sample ID file (https://fairdomhub.org/data_files/1330)
FASTA file of representative sequences for operational taxonomic units in gut microbiota analyses from feed-switch experiment at Solbergstrand Sept 2015.
(Knut Rudi --> Jon Olav Vik 20160126, email subject "metadata for alle fisk".)
File contents look like this:
OTU_1 1..446 -GTCC---GCCCTACGGGAT... OTU_2 1..446 -GTCC--GCCC-TACGGGAT... ... OTU_439 1..472 ----ATGTCACCTACGGGAT...
Creators: Jon Olav Vik, Knut Rudi
Submitter: Jon Olav Vik
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