Complex biological systems can be described by any one of a number of features, including the tools used to deconstruct interactions between the parcels, actors, and forces that compose these systems. In addition, they are defined by a growing understanding of how context shapes these interactions, and by extension, the behavior of biological systems. In this seminar, I will highlight these aspects of complex biological systems using several different model problems: protein evolution, genomic prediction, and the interaction between pandemics and the criminal legal system.

Historical biogeography increasingly depends on probabilistic phylogenetic models to reconstruct where ancestral species once lived. Standard approaches, however, rely almost solely on information about the present to reconstruct the past. More complex phylogenetic models that integrate paleogeographical, paleoenvironmental, and paleontological data promise to improve historical evolutionary inferences.

Sensing in Flight: Neural encoding and wing structure interact to shape sensory information
By: Dr. Alison Weber (Daniel & Brunton Lab)

A race to identify the genes that support neutrophil cell migration
By: Dr. Nathan Belliveau (Theriot Lab)

Disentangling mechanisms of Miocene vegetation change
By: Dr. Christopher Schiller (Stromberg Lab)

Genetic, developmental, and physiological mechanisms all impact evolutionary trajectories and hence may shape responses to selection. We examined the extent to which genetic and neural mechanisms limit behavioral evolution in guppies by leveraging the parallel evolutionary transitions in Trinidadian guppies. Much prior work has characterized the parallel changes in a suite of social and antipredator behaviors that follow independent colonization of low-predation sites by guppies originally from high-predation localities.

Effects of aging on immune gene regulation
By: Marina Watowich (Snyder-Mackler Lab)