Sockeye Salmon Multi-Stress Challenge Datasets

Data Description: Fit-Chips gene expression data and classification data on Sockeye salmon multi-stress challenge project. Climate change is increasingly affecting Pacific salmon to combinations of thermal, hypoxic, and osmotic stressors that can impair survival. Although genomic tools have enabled detailed insight into stressor responses under controlled conditions, field applications remain limited by the lack of species-specific classifiers capable of resolving physiological condition across multiple stressor contexts. In this study, we developed and experimentally validated transcriptional classifiers for juvenile sockeye salmon (Oncorhynchus nerka) using controlled multi-stressor challenges. Fish exposed to a full factorial design of three temperatures (10°C, 14°C, 18°C), three salinities (0, 20, 28 ppt), and two dissolved oxygen levels (>8 mg L-1, 3–3.5 mg L-1) over six days, across smolt and de-smolt stages; pre-smolts were additionally challenged with seawater (28 ppt). Gill tissue, a primary interface between fish and their environment, was analyzed using the “Salmon Fit-Chips” microfluidic qPCR tool to quantify gene expression responses. Random Forest models were then…

Publisher

Fisheries and Oceans Canada

Resources

7

Catalogue metadata updated

2026-06-03