Odd André Karlsen

A fundamental and enduring challenge for ecosystem managers developing risk and impact assessment tools is to predict the extent of impact that spilled oil can have on the immediate fish populations and on future generations. Modelling approaches are important tools for these assessments, but they currently suffer from two major shortcomings: 1) the failure to acknowledge that effects can be transferred through several generations and 2) the assumption that a small group of toxic compounds, ...

Coastal zones and oceans constitute an essential fundament for Norway’s history as well as current economy, providing ecosystem services for fisheries, aquaculture, transport, tourism, and recreation. The petroleum activities in Norwegian waters have been crucial for Norway’s financial growth and in financing the Norwegian welfare state. As the pressure on the oceans continuously increases, both the petroleum industry and the seafood industries have acknowledged that awareness and actions are ...

Interspecies differences in sensitivity to chemical exposures pose a great challenge in toxicological risk assessments. 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 ...

Location: UiB Date: 8-20 June 2017 Compounds tested: WY-14,643 (PPAR alpha agonist), GW501516 (PPAR beta agonist) No. of test groups: 5 (Control 1: DMSO/saline/PEG, WY-14.643 High (40 mg/kg), WY-14.643 Low (4.0 mg/kg), GW501516 High (4.0 mg/kg), GW501516 Low (0.4 mg/kg)) No. of fish per group: 22

Aim: *To investigate effects on lipid metabolism in Atlantic cod ( Gadus morhua) mediated by peroxisome proliferator-activated receptors (Ppars) by in vivo exposure to two mammalian PPAR agonists.

Build the chemical defensome gene list for 5 fish: Zebrafish (Danio rerio), Atlantic cod (Gadus morhua), medaka (Oryzias latipes), Atlantic killifish (Fundulus heteroclitus) and stickleback (Gasterosteus aculeatus). Source code and relevant files can be found on GitHub: https://github.com/zhxiaokang/fishDefensome/tree/main/defensomeGenes

To study the defensome genes' expression in early developmental stages of zebrafish and stickleback. Souce code and relevant files can be found on GitHub: https://github.com/zhxiaokang/fishDefensome/tree/main/developmentalStages

Exposing zebrafish to benzo(a)pyrene (B(a)P) (gene counts from NCBI GEO: GSE64198, previously published by Fang, et al. 2015. Souce code and relevant files can be found on GitHub: https://github.com/zhxiaokang/fishDefensome/tree/main/exposureResponse

There are four datasheets in the Excel file: 1. Gene pattern and the corresponding category (the gene list is then divided into the other three datasheets); 2. These gene names (patterns) can be directly followed by either a letter or a number; 3. These gene names (patterns) should be directly followed by a letter; 4. These gene names (patterns) should be directly followed by a number.

Supplementary Table1 and Table2 for manuscript "The chemical defensome of fish"