Our group has a longstanding interest in understanding the evolutionary consequences of admixture–a process where two or more genetically distinct populations exchange genes. We have developed an efficient forward-in-time simulation method, SELAM as well as a suite of methods for inferring the landscape of mosaic ancestry in admixed populations and fitting population genetic modeles of complex admixture and natural selection during admixture.
Researchers in our group lead the informatics for the California Conservation Genomics Project; the largest and most comprehensive conservation genomics project to date. Members of the CCGP have collected samples for 230 carefully selected species to generate whole-genome data of nearly 20,000 individuals. Our group is in charge of generating fully reproducable pipelines to process and analyze petabytes of sequencing data. These products will be used to inform conservation decisions and address outstanding challenges in the field of evolutionary landscape genomics. Research in this area is ongoing, check back soon for updates!
We have longstanding inetrest and expertise in genome structure evolution, with a particular emphasis on genome inversions and intron evolution. Our group has develope approaches to detect inversions using short read data in Drosophila melanogaster and proximity ligation data in mosquito malaria vector species. More recently, we created synthetic chromosomal invertsions to closely mimic natural inversions. We used these synthetic inversions to show that genome structure has a nearly negligible effect on gene expression while natural inversions are associated with mutations that have widespread impacts. Much of our experimental work has been curtailed due to the pandemic but we are interested in re-opening this line of investigation!