Population studies of Atlantic cod using whole genome data have revealed four large inversions (on chromosomes 1, 2, 7 and 12). These inversions are associated with different ecotypes and local adaptations in cod. For example, the inversions on chromosome 1 and 7 seem to be crucial for the adaptation and the behavior of migratory cod (skrei). There are, however, other smaller inversions that so far have not been characterized in greater detail. For example on chromosome 4, 8,10 and 21 we have found regions that are putative inversions and frequently associated with certain populations or individuals. Furthermore, we do not know much about the phenotypic effects (if any) of some of the smaller potential inversions. There are reference genomes for skrei (migratory) and coastal (non-migratory) and North Sea (Celtic) cod – as well as population genomic data – available.
We are seeking one master student: The master student will as a first step determine if these regions de facto are inversions or just regions showing linkage disequilibrium and elevated FST values. Furthermore, the master student will investigate which genes that are found in these regions, and if time allows, investigate if some of these genes are differentially regulated. Population genomic data that have been already generated along with additional (new) data will be the foundation for the study. This project will involve both lab work and bioinformatics – and possibly field work (sampling of cod). The master project will be part of a larger project on Atlantic cod population genomics, and there will be a team of researchers at CEES as well as internationally to interact with.
What you will learn: You will learn bioinformatics, statistical methods, evolutionary genomics, and hopefully (possible to fit in) get experience in field work. Scientific team-work is another skill you will learn. The training in bioinformatics/statistics in combination with field-work will be very attractive for jobs in academia and outside.
What we offer: We offer a friendly and kind mentoring environment with a lot of experience in supervising master students. We also offer the possibility of joining research schools such as the NORBIS and Digital Life Research School and to attend international courses fitting your master project.
Supervisors: Kjetill S Jakobsen and Ole K T?rresen