Developing an evolutionary model for metabolic syndrome: understanding energy sparing adaptations in geothermal populations of stickleback

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Most human disorders are complex and involve a multitude of genes, environmental inputs, and change in prevalence with age. To understand such disorders clinical researchers often use a specific set of lab animals (model organisms) that display similarity to human disease. However, while this approach has provided major advances for understanding some of the causal mutations underlying human disease there can be limitations in terms of how translatable results are. This is often attributed to differences between humans and other animals but it may also be the result of the approach used. Normally, lab-based research on such model organisms standardizes environmental conditions, as well as genetic variation within a lab line. This can simplify comparisons with an 'all else being equal' approach that allows for single mutations to be compared (i.e. this is often referred to as the mutant model approach). However, as mentioned above, many diseases manifest themselves from a multitude of genes, environments, and age. An emerging alternative to the traditional mutant model approach is now arriving from nature where in some cases evolutionary adaptations can actually resemble human disease. What is particularly exciting in that such populations can be more in line with how humans live, in that they experience environmental variation, and often have a diversity of genetic variation. Thus, they could be particularly effective for understanding complex human disease. This project will take advantage of a natural set of populations of fish, specifically threespine sticklebacks experiencing warmed habitats as a result of geothermal activity in Iceland. Such warmed habitats present a unique challenge to these fish as the higher temperature raises their metabolism, including in winter when prey are limited. This appears to have caused 'energy-sparing' adaptations to evolve in these fish, such as increased fat deposition, indications of glucose tolerance, and higher appetites. This can be considered to resemble metabolic syndrome in humans, but it is unclear what underlying mechanisms determine these changes, and whether a wider suite of traits are involved. To determine the utility of this system as a model for human disease will require deeper investigation, but could be especially valuable if these fish have also evolved the mitigate the negative effects of these traits. Therefore, we will aim to ascertain how the body composition of these fish is determined using a comprehensive approach that accounts for genetic, epigenetic, and environmental cues. This approach should more closely match how traits are determined in nature and lead to accurate insights about their mechanisms. We will also assess further aspects of the metabolic divergence between geothermal and ambient populations of stickleback, including glucose and insulin tolerance. Lastly, we will examine whether the expected negative effects of metabolic syndrome occur with associated traits in sticklebacks. Specifically, we will look for signs of non-alcoholic fatty liver disease, and test whether blood concentrations of triglycerides and cholesterol occur in geothermal fish (which would be expected to occur with higher levels of body fat). We predict that geothermal fish will show signs of mitigating these negative effects, and if supported it could provide the basis for further insight and even therapies for humans.