Year: 2011
Type: article
Abstract: BACKGROUND: Genome-wide nucleosome occupancy is negatively related to the average level of transcription factor motif binding based on studies in yeast and several other model organisms. The degree to which nucleosome-motif interactions relate to phenotypic changes across species is, however, unknown. RESULTS: We address this challenge by generating nucleosome positioning and cell cycle expression data for Saccharomyces bayanus and show that differences in nucleosome occupancy reflect cell cycle expression divergence between two yeast species, S. bayanus and S. cerevisiae. Specifically, genes with nucleosome-depleted MBP1 motifs upstream of their coding sequence show periodic expression during the cell cycle, whereas genes with nucleosome-shielded motifs do not. In addition, conserved cell cycle regulatory motifs across these two species are more nucleosome-depleted compared to those that are not conserved, suggesting that the degree of conservation of regulatory sites varies, and is reflected by nucleosome occupancy patterns. Finally, many changes in cell cycle gene expression patterns across species can be correlated to changes in nucleosome occupancy on motifs (rather than to the presence or absence of motifs). CONCLUSIONS: Our observations suggest that alteration of nucleosome occupancy is a previously uncharacterized feature related to the divergence of cell cycle expression between species.
Source: BMC Genomics
Language: English
Subfield: Molecular Biology
Domain: Life Sciences
Open Access status: gold
Estimated APC paid: $3,090
Funders: National Science Foundation, Princeton University, National Institutes of Health, Office of the Dean for Research, Princeton University, Canadian Institutes of Health Research, National Human Genome Research Institute, National Institute of General Medical Sciences, National Center for Research Resources
Awards: lntegration and Visualization of Diverse Biological Data, G3262943757, SEI (BIO): Integrated analysis of heterogeneous genomic data for accurate prediction of gene function and interactions between proteins, Comprehensive Biology: Exploiting the Yeast Genome, G6671297155, Genome-wide determinants of nucleosome occupancy and promoter definition, Center for Quantitative Biology, CAREER: An Integrated Approach to the Study of Biological Process Specific Networks, Context-Sensitive Search of Human Expression Compendia
OpenAlex ID: W2006149271
