Global Transcription Profiles of C. albicans and the Comparison of Other Yeast Species
Sven Bergmann, Jan Ihmels and Judith Berman
from: Candida: Comparative and Functional Genomics (Edited by: Christophe d'Enfert and Bernhard Hube). Caister Academic Press, U.K. (2007)
In addition to providing an inventory of genes and their regulatory regions, whole-genome sequencing has paved the way for high-throughput technologies that take snapshots of the regulatory programs governing the expression of these genes. Analyzing many different C. albicans transcription profile experiments revealed global patterns of gene expression that would have been difficult to glean from individual studies. A next step is to compare these global patterns between organisms; comparison to S. cerevisiae global expression patterns is particularly useful because of the large datasets available. The Differential Clustering Algorithm (DCA) is a flexible algorithm that systematically analyzes differences, as well as similarities, in gene expression patterns. It was used to identify important aspects of the transcriptional networks that have been rewired through the evolution of S. cerevisiae and C. albicans. Specific examples of changes in the patterns of expression of cell cycle genes and amino acid biosynthesis genes are detailed. Analysis of the evolution of a promoter sequence motif associated with rapid growth metabolism is also considered read more ...