Mutation load
How does individual genomic mutation load shape variation in fitness traits?
In my second PhD thesis chapter, we utilize genomic and bioinformatic advancements to predict deleterious mutations and test how these mutations relate to sexual trait expression.
Conservation geneticists are increasingly using bioinformatic tools like GERP++, SnpEff or PhyloP to predict deleterious mutations.
But how well do these predicted mutations explain variation in fitness? Do only (recessive) deleterious mutations in homozygosity contribute to fitness variation, or are mutations in heterozygosity also significant? Are mutations in specific genomic regions more important than others? And do predicted mutations explain more variation in behaviour or in ornamental traits?
Read all about it in our pre-print that can be found on Research Square which is in press with Nature Ecology and Evolution