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Journal of Experimental BiologyGenomicsPeer-reviewed journal article

Salmonid gene expression biomarkers indicative of physiological responses to changes in salinity, temperature, but not dissolved oxygen

Aimee Lee S. HoudeiD, Arash AkbarzadehiD, Oliver P. GüntheriD, Shaorong LiiD, David A. PattersoniD, Anthony P. FarrelliD, Scott G. HinchiD, Kristina M. MilleriD

PDFDOIPreprint

Abstract

An organisms ability to respond effectively to environmental change is critical to their survival. Yet, life stage and overall condition can dictate tolerance thresholds to heightened environmental stressors, such that stress may not be equally felt across individuals within a species. Environmental changes can induce transcriptional responses in an organism, some of which reflect generalized responses, and others are highly specific to the type of change being experienced. Thus, if transcriptional biomarkers specific to a heightened environmental stressor, even under multi-stressor impacts, can be identified, the biomarkers could be then applied in natural environments to determine when and where individuals are experiencing such stressors. Here, we validate candidate gill gene expression biomarkers by experimentally challenging juvenile Chinook salmon (Oncorhynchus tshawytscha). A sophisticated experimental set-up (four trials) manipulated salinity (freshwater, brackish water, and seawater), temperature (10, 14, and 18{degrees}C), and dissolved oxygen (normoxia and hypoxia), in all 18 possible combinations, for up to six days during the pre-smolt, smolt, and de-smolt life stages. In addition, we also describe the changes in juvenile behaviour, plasma variables, gill Na+/K+- ATPase (NKA) activity, body size, body morphology, and skin pigmentation associated with salinity, temperature, dissolved oxygen, mortality, and smolt status. We statistically identified biomarkers specific to salinity and temperature treatments, as well as mortality across multiple stressors and life stages. Similar biomarkers for the dissolved oxygen treatment could not be identified in the data and we discuss our next steps using an RNA-seq study. This work demonstrates the unique power of gene expression biomarkers to identify a specific stressor even under multi-stressor conditions.

Citations
62
FWCI
4.76
Field percentile
top 5%

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