title: Evolution of regulatory networks in Candida glabrata: learning to live with the human host.
abstract: The opportunistic human fungal pathogen Candida glabrata is second only to C. albicans as the cause of Candida infections and yet is more closely related to Saccharomyces cerevisiae. Recent advances in functional genomics technologies and computational approaches to decipher regulatory networks, and the comparison of these networks among these and other Ascomycete species, have revealed both unique and shared strategies in adaptation to a human commensal/opportunistic pathogen lifestyle and antifungal drug resistance in C. glabrata. Recently, several C. glabrata sister species in the Nakeseomyces clade representing both human associated (commensal) and environmental isolates have had their genomes sequenced and analyzed. This has paved the way for comparative functional genomics studies to characterize the regulatory networks in these species to identify informative patterns of conservation and divergence linked to phenotypic evolution in the Nakaseomyces lineage.
authors.affiliation: Department of Biostatistics and Medical Informatics, University of Wisconsin Madison, Madison, WI 53715, USA Wisconsin Institute for Discovery, University of Wisconsin, Madison, WI 53715, USA.
authors.forename: Sushmita
authors.initials: S
authors.lastname: Roy
authors.affiliation: Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA dawnt@broadinstitute.org.
authors.forename: Dawn
authors.initials: D
authors.lastname: Thompson
mesh_terms: D000220:Adaptation, Biological; D041221:Candida glabrata / Q000235:genetics*; D019143:Evolution, Molecular; D015966:Gene Expression Regulation, Fungal; D053263:Gene Regulatory Networks; D054884:Host-Pathogen Interactions; D006801:Humans
keywords: evolution; expression; gene regulatory networks; genomics