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Comparison of survival, gene expression and plasma biochemistry between genetic lines of rainbow trout reared under either laboratory or net pen aquaculture conditions.

dataset
posted on 2024-11-23, 22:22 authored by USDA-Agricultural Research Service
Genetic variation for disease resistance is present in salmonid fish; however, the molecular basis and impact of environmental conditions is poorly understood. At the U.S. National Center for Cool and Cold Water Aquaculture, a line of rainbow trout has been selected with increased innate resistance against bacterial cold water disease caused by Flavobacterium psychrophilum (Fp). After five generations of selection, the resistant line (ARS-Fp-R) exhibits over 60 percentage points higher survival compared to a reference susceptible line. The goal of this project is to compare survival, gene expression and plasma biochemistry between the ARS-Fp-R line and several commercial trout strains reared under either controlled laboratory rearing conditions or at a commercial net-pen facility located on the Columbia River. Gill and spleen samples were collected at 8 timepoints corresponding to critical transitions in water temperatures at the farm-site. Differences in gene expression and plasma biochemistry between genetic lines and rearing environments are described.

Funding

USDA: 8082-32000-007-000-D

History

Data contact name

BioProject Curation Staff

Publisher

National Center for Biotechnology Information

Temporal Extent Start Date

2022-12-09

Theme

  • Non-geospatial

ISO Topic Category

  • biota

National Agricultural Library Thesaurus terms

sequence analysis

Pending citation

  • No

Public Access Level

  • Public

Accession Number

PRJNA910554

Preferred dataset citation

It is recommended to cite the accession numbers that are assigned to data submissions, e.g. the GenBank, WGS or SRA accession numbers. If individual BioProjects need to be referenced, state that "The data have been deposited with links to BioProject accession number PRJNA910554 in the NCBI BioProject database (https://www.ncbi.nlm.nih.gov/bioproject/)."

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