Biological systems are driven by vast networks of interacting molecules that conspire to facilitate survival or reproduction of an organism. It can be useful to parse a biological network into subnetworks according to the specific tasks they perform. In order to understand how these subnetworks, or modules, are sculpted by evolution to perform their tasks in diverse environments, we are collaborating with Aviv Regev's lab (MIT/Broad Institute) to study the evolution of the high osmolarity glycerol (HOG) response module. To investigate how the structure of this module has changed across evolution, we will map the module structure in multiple yeast species, including the human pathogens Candida albicans and Candida glabrata. This work is enabled by the genome sequences of a number of yeast species, a gene-evolution reconstruction algorithm designed by the Regev lab, and by our construction of a quantitative transcriptional network of the Saccharomyces cerevisiae HOG-dependent response to salt stress. Building on our previous work to characterize the S. cerevisiae response to salt stress, we will use a combination of experiments and computational approaches to first characterize the module structure in multiple yeast species spanning S. pombe to S. cerevisiae, then explain the mechanisms underlying these changes.
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