Molecular signatures and machine learning driven stress biomarkers for rainbow trout aquaculture and climate adaptation.

ABSTRACT: Climate-induced stressors pose significant threats to fish growth, survival, and ecological stability. Identifying reliable molecular biomarkers is crucial for improving stress management and acclimation strategies. This study employed a comprehensive transcriptomic analysis to examine stress responses in rainbow trout (Oncorhynchus mykiss) exposed to five distinct environmental stressors-high and low temperatures, crowding, salinity, and low water quality (characterized by reduced dissolved oxygen and elevated CO₂)-over six hours. A total of 21,580 differentially expressed transcripts (DETs) were identified, including 16,959 unique DETs. Heat stress and salinity induced the most pronounced transcriptomic responses, with most DETs being stressor-specific, highlighting distinct p

SUBMITTER: Ali A 

PROVIDER: S-EPMC12775536 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature