PhyloG2P is a monicer for the paradigm in evolutionary genomics of linking genomic variation to phenotypes using phylogenetic trees. PhyloG2P methods capitalize on different genomic signatures (presence/absence of genes, loss of function of genes, insertions and deletions, and shifting evolutionary rates) to find the genomic drivers of phenotypic change on clades that are not amenable to classical genetic approaches.
In this seminar, Dr. Edwards will present details of the PhyloAcc (‘Phylo-A-see-see’) family of Bayesian approaches to PhyloG2P and their application to diverse phenotypic traits in birds and mammals. PhyloAcc methods focus on associating changes in evolutionary rates of noncoding regions, such as conserved non-exonic elements (CNEEs), to changes in a binary or continuous trait. The basic PhyloAcc model finds CNEEs undergoing acceleration in concert with a change in a binary trait, such as convergent losses of flight in birds. They have used this approach on genome-wide CNEEs to find conserved putative enhancers that have undergone acceleration convergently in flightless birds (paleognaths). They have further cataloged regions of open chromatin and applied massively parallel reporter assays (MPRAs) to demonstrate changes in function of enhancers undergoing acceleration. They have also recently produced PhyloAcc-GT, which incorporates gene tree heterogeneity into the model, as well as PhyloAcc-C and Halcyon, which associate accelerations in the genome with changes in a continuous phenotypic trait, such as maximum longevity in mammals. PhyloG2P methods provide powerful insights into genome-phenome connections in otherwise intractable lineages and help determine the relative contributions of protein and regulatory evolution to phenotypic diversification across the Tree of Life.
Speaker Information
Dr. Scott V. Edwards Professor of Organismic and Evolutionary Biology, Curator of Ornithology and Alexander Agassiz Professor of Zoology in the Museum of Comparative Zoology, Chair of the Department of Organismic and Evolutionary Biology