Abstract
Phylogenetic comparative methods (PCM) represent a rigorous approach for inferring functional evolution. To infer the origin and evolution of a function, PCM use a phylogenetic tree of the species in which the function has evolved and functional data from those species. These data enable reconstruction of ancestral states and inference of how the function evolved along the branches of the species tree. PCM can be applied to understand any aspect of light signaling, from early events in photoactivation, to interactions with signaling partners, to physiological responses. Integrating evolutionary histories of individual aspects of light signaling obtained through PCM with network modeling of protein-protein interactions for light signaling would enable a deep understanding of the evolution in light signaling pathways and their roles in helping plants adapt to changing environments. Here we describe the steps for using PCM to infer functional evolution using a species tree and trait data.
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