Genome-wide co-occurrence of promoter elements reveals a cis-regulatory cassette of rRNA transcription motifs in Saccharomyces cerevisiae

• Published in: Genome research Vol. 12; no. 11; pp. 1723 - 1731
• Main Authors: Sudarsanam, Priya, Pilpel, Yitzhak, Church, George M
• Format: Journal Article
• Language: English
• Published: United States Cold Spring Harbor Laboratory Press 01.11.2002
• Subjects: Base Composition - genetics; Computational Biology - methods; Enhancer Elements, Genetic - genetics; Gene Expression Regulation, Fungal - genetics; Genes, Fungal - genetics; Genes, rRNA - genetics; Genome, Fungal; Letter; Promoter Regions, Genetic - genetics; RNA, Fungal - genetics; Saccharomyces cerevisiae - genetics
• ISSN: 1088-9051; 1549-5469
• DOI: 10.1101/gr.301202

Combinatorial regulation is an important feature of eukaryotic transcription. However, only a limited number of studies have characterized this aspect on a whole-genome level. We have conducted a genome-wide computational survey to identify cis-regulatory motif pairs that co-occur in a significantly high number of promoters in the S. cerevisiae genome. A pair of novel motifs, mRRPE and PAC, co-occur most highly in the genome, primarily in the promoters of genes involved in rRNA transcription and processing. The two motifs show significant positional and orientational bias with mRRPE being closer to the ATG than PAC in most promoters. Two additional rRNA-related motifs, mRRSE3 and mRRSE10, also co-occur with mRRPE and PAC. mRRPE and PAC are the primary determinants of expression profiles while mRRSE3 and mRRSE10 modulate these patterns. We describe a new computational approach for studying the functional significance of the physical locations of promoter elements that combine analyses of genome sequence and microarray data. Applying this methodology to the regulatory cassette containing the four rRNA motifs demonstrates that the relative promoter locations of these elements have a profound effect on the expression patterns of the downstream genes. These findings provide a function for these novel motifs and insight into the mechanism by which they regulate gene expression. The methodology introduced here should prove particularly useful for analyzing transcriptional regulation in more complex genomes.