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2.
EMBO J ; 30(10): 1928-38, 2011 May 18.
Article in English | MEDLINE | ID: mdl-21487388

ABSTRACT

Post-translational modification of histones and DNA methylation are important components of chromatin-level control of genome activity in eukaryotes. However, principles governing the combinatorial association of chromatin marks along the genome remain poorly understood. Here, we have generated epigenomic maps for eight histone modifications (H3K4me2 and 3, H3K27me1 and 2, H3K36me3, H3K56ac, H4K20me1 and H2Bub) in the model plant Arabidopsis and we have combined these maps with others, produced under identical conditions, for H3K9me2, H3K9me3, H3K27me3 and DNA methylation. Integrative analysis indicates that these 12 chromatin marks, which collectively cover ∼90% of the genome, are present at any given position in a very limited number of combinations. Moreover, we show that the distribution of the 12 marks along the genomic sequence defines four main chromatin states, which preferentially index active genes, repressed genes, silent repeat elements and intergenic regions. Given the compact nature of the Arabidopsis genome, these four indexing states typically translate into short chromatin domains interspersed with each other. This first combinatorial view of the Arabidopsis epigenome points to simple principles of organization as in metazoans and provides a framework for further studies of chromatin-based regulatory mechanisms in plants.


Subject(s)
Arabidopsis/physiology , Chromatin/metabolism , Epigenesis, Genetic , Gene Expression Regulation, Plant , Arabidopsis/genetics , Arabidopsis Proteins/metabolism , Chromosomes/metabolism , DNA Methylation , Histones/metabolism , Protein Processing, Post-Translational
3.
PLoS Comput Biol ; 5(6): e1000409, 2009 Jun.
Article in English | MEDLINE | ID: mdl-19521515

ABSTRACT

Examples of metabolic rhythms have recently emerged from studies of budding yeast. High density microarray analyses have produced a remarkably detailed picture of cycling gene expression that could be clustered according to metabolic functions. We developed a model-based approach for the decomposition of expression to analyze these data and to identify functional modules which, expressed sequentially and periodically, contribute to the complex and intricate mitochondrial architecture. This approach revealed that mitochondrial spatio-temporal modules are expressed during periodic spikes and specific cellular localizations, which cover the entire oscillatory period. For instance, assembly factors (32 genes) and translation regulators (47 genes) are expressed earlier than the components of the amino-acid synthesis pathways (31 genes). In addition, we could correlate the expression modules identified with particular post-transcriptional properties. Thus, mRNAs of modules expressed "early" are mostly translated in the vicinity of mitochondria under the control of the Puf3p mRNA-binding protein. This last spatio-temporal module concerns mostly mRNAs coding for basic elements of mitochondrial construction: assembly and regulatory factors. Prediction that unknown genes from this module code for important elements of mitochondrial biogenesis is supported by experimental evidence. More generally, these observations underscore the importance of post-transcriptional processes in mitochondrial biogenesis, highlighting close connections between nuclear transcription and cytoplasmic site-specific translation.


Subject(s)
Mitochondria/metabolism , Mitochondrial Proteins/genetics , Models, Genetic , RNA, Messenger/metabolism , Saccharomyces cerevisiae Proteins/genetics , Saccharomyces cerevisiae/genetics , Transcription, Genetic , 3' Untranslated Regions , Algorithms , Cluster Analysis , Gene Expression Regulation, Fungal , Mitochondrial Proteins/metabolism , Oligonucleotide Array Sequence Analysis , Protein Biosynthesis , RNA, Fungal/genetics , RNA, Fungal/metabolism , RNA, Messenger/genetics , Regulatory Elements, Transcriptional , Regulon , Saccharomyces cerevisiae/metabolism , Saccharomyces cerevisiae Proteins/metabolism , Time Factors , Transcription Factors/metabolism
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