Dr. Jeff Riffell

Many biological phenomena arise from the scaling from individual interactions (e.g., between genes, proteins, metabolites, cells including neurons, organs, organisms, and species) to systems. Network approaches have transformed the study of such systems, given that the structure of networks is typically non-random and often strongly related to system-level functioning and response to perturbations. Still, many network structural features are associated with clear trade-offs.

Dr. Jennifer Ruesink
Response and effect traits in a phenotypically-variable marine foundation species

Dr. Emily Carrington
Losing their lifeline? Mussel attachment in dynamic coastal environments

The wildflower genus Mimulus (monkeyflowers) has been widely recognized as a classic ecological and evolutionary model system in studying local adaptation, speciation, plant-pollinator interactions, and species range limits. What is less known, however, is that this system also holds great promise for detailed molecular dissections of the genetic bases and developmental mechanisms of pattern formation, phenotypic diversification, and the origin of novel phenotypes.

Cells of diverse organisms, from cyanobacteria to humans, execute temporal programs that are driven by circadian oscillators. The circadian clock of the cyanobacterium Synechococcus elongatus is a discrete nanomachine comprising three proteins – KaiA, KaiB, and KaiC – which interact progressively to set up the timekeeping mechanism, and two kinases whose activities are altered by engaging the Kai oscillator.