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Abstract
How an organism copes with chemicals is largely determined by the genes and proteins that collectively function to defend against, detoxify and eliminate chemical stressors. This integrative network includes receptors and transcription factors, biotransformation enzymes, transporters, antioxidants, and metal- and heat-responsive genes, and is collectively known as the chemical defensome. Teleost fish is the largest group of vertebrate species and can provide valuable insights into the evolution and functional diversity of defensome genes. We have previously shown that the xenosensing pregnane x receptor (pxr, nr1i2) is lost in many teleost species, including Atlantic cod (Gadus morhua) and three-spined stickleback (Gasterosteus aculeatus), but it is not known if compensatory mechanisms or signaling pathways have evolved in its absence. In this study, we compared the genes comprising the chemical defensome of five fish species that span the teleosteii evolutionary branch often used as model species in toxicological studies and environmental monitoring programs: zebrafish (Danio rerio), medaka (Oryzias latipes), Atlantic killifish (Fundulus heteroclitus), Atlantic cod, and three-spined stickleback. Genome mining revealed evolved differences in the number and composition of defensome genes that can have implication for how these species sense and respond to environmental pollutants, but we did not observe any candidates of compensatory mechanisms or pathways in cod and stickleback in the absence of pxr. The results indicate that knowledge regarding the diversity and function of the defensome will be important for toxicological testing and risk assessment studies.
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1 University of Bergen, Department of Biological Sciences, Bergen, Norway (GRID:grid.7914.b) (ISNI:0000 0004 1936 7443)
2 University of Bergen, Computational Biology Unit, Department of Informatics, Bergen, Norway (GRID:grid.7914.b) (ISNI:0000 0004 1936 7443); Oslo University Hospital-Radiumhospitalet, Department of Molecular Oncology, Institute for Cancer Research, Oslo, Norway (GRID:grid.55325.34) (ISNI:0000 0004 0389 8485)
3 Woods Hole Oceanographic Institution, Biology Department, Woods Hole, USA (GRID:grid.56466.37) (ISNI:0000 0004 0504 7510)
4 University of Bergen, Computational Biology Unit, Department of Informatics, Bergen, Norway (GRID:grid.7914.b) (ISNI:0000 0004 1936 7443)