The yin and yang of yeast transcription: elements of a global feedback system between metabolism and chromatin

• Published in: PloS one 2012-06, Vol.7 (6), p.e37906
• Main Authors: Machné, Rainer, Murray, Douglas B
• Format: Article
• Language: English
• Subjects: Adenosine diphosphate; Adenosine Diphosphate - metabolism; Adenosine triphosphate; Adenosine Triphosphate - metabolism; Algorithms; Analysis; ATP; Baking yeast; Base Composition; Batch culture; Biology; Catabolism; Cell culture; Cell cycle; Chromatin; Chromatin - genetics; Chromatin - metabolism; Cluster Analysis; Clustering; Consolidation; Continuous culture; Datasets; Deoxyribonucleic acid; DNA; Environmental conditions; Enzymes; Feedback; Feedback, Physiological; Fourier analysis; Fourier transforms; Gene expression; Gene Expression Profiling - methods; Gene Expression Profiling - statistics & numerical data; Gene Expression Regulation, Fungal; Genomes; Hypotheses; Metabolism; Metabolites; Mitochondria; Models, Genetic; Molecular modelling; Negative feedback; Neural networks; Nucleosomes - genetics; Nucleosomes - metabolism; Oligonucleotide Array Sequence Analysis; Oscillations; Oxygen; Oxygen uptake; Physiological aspects; Physiology; Protein expression; Proteins; Remodeling; Saccharomyces cerevisiae; Saccharomyces cerevisiae - genetics; Saccharomyces cerevisiae - metabolism; Saccharomyces cerevisiae Proteins - genetics; Saccharomyces cerevisiae Proteins - metabolism; Stress response; Time Factors; Transcription; Transcription (Genetics); Transcriptome - genetics
• ISSN: 1932-6203; 1932-6203
• DOI: 10.1371/journal.pone.0037906

When grown in continuous culture, budding yeast cells tend to synchronize their respiratory activity to form a stable oscillation that percolates throughout cellular physiology and involves the majority of the protein-coding transcriptome. Oscillations in batch culture and at single cell level support the idea that these dynamics constitute a general growth principle. The precise molecular mechanisms and biological functions of the oscillation remain elusive. Fourier analysis of transcriptome time series datasets from two different oscillation periods (0.7 h and 5 h) reveals seven distinct co-expression clusters common to both systems (34% of all yeast ORF), which consolidate into two superclusters when correlated with a compilation of 1,327 unrelated transcriptome datasets. These superclusters encode for cell growth and anabolism during the phase of high, and mitochondrial growth, catabolism and stress response during the phase of low oxygen uptake. The promoters of each cluster are characterized by different nucleotide contents, promoter nucleosome configurations, and dependence on ATP-dependent nucleosome remodeling complexes. We show that the ATP:ADP ratio oscillates, compatible with alternating metabolic activity of the two superclusters and differential feedback on their transcription via activating (RSC) and repressive (Isw2) types of promoter structure remodeling. We propose a novel feedback mechanism, where the energetic state of the cell, reflected in the ATP:ADP ratio, gates the transcription of large, but functionally coherent groups of genes via differential effects of ATP-dependent nucleosome remodeling machineries. Besides providing a mechanistic hypothesis for the delayed negative feedback that results in the oscillatory phenotype, this mechanism may underpin the continuous adaptation of growth to environmental conditions.