Feed switch 2015-09, 2016-01 Solbergstranda, gut microbiota composition, 16S rRNA metagenomics

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 ...

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 ...

Atlantic salmon is a main source of essential ω-3 long-chain polyunsaturated fatty acids (LC-PUFA) in many Western diets, especially eicosapentaenoic acid (20:5n-3, EPA) and docosahexaenoic acid (22:6n-3, DHA). However, farmed salmon meat now contains less healthy ω-3 fatty acids (FA) than before, due to the shift from marine to vegetable lipid feed sources. An important future aquaculture challenge is therefore to maintain a healthy and high EPA/DHA content when farmed salmon is fed a vegetable ...

This experiment is designed to pinpoint where in the metabolic network there are differences between salmon of different genetic families and on different diets. Analyses of this material will help inform feeding and breeding strategies.

Salmon will be reared on feeds with contrasting levels of very-long-chain polyunsaturated fatty acids. Then some fish will be crossed over to the other diet while others remain as controls. This perturbation of diet should provoke changes in omega-3 metabolism ...

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...

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 ...

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).

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.