Polycomb complexes and silencing mechanisms

Advances in the past couple of years have brought important new knowledge on the mechanisms by which Polycomb-group proteins regulate gene expression and on the consequences of their actions. The discovery of histone methylation imprints specific for Polycomb and Trithorax complexes has provided mechanistic insight on how this ancient epigenetic memory system acts to repress and indicates that it may share mechanistic aspects with other silencing and genome-protective processes, such as RNA interference.     

Assembly of Polycomb complexes and silencing mechanisms

Polycomb complexes assemble at their target sites and silence neighboring genes when these are not actively transcribed. The action of these complexes and of Trithorax complexes bound to the Polycomb Response Element establish alternative silent or derepressed states that are remembered through cell division and maintained for the rest of development. Recent results that may help explain the properties of these states are reviewed.     

To SIR with Polycomb: linking silencing mechanisms

Yeast SIR2, the most evolutionarily conserved deacetylase, plays an essential role in epigenetic silencing at the silent mating type loci and telomeres. SIR2 has been implicated in chromatin silencing and lifespan determination in several organisms. Discovery that Drosophila SIR2 is also involved in epigenetic silencing mediated by the Polycomb group proteins and is physically associated with a complex containing the E(Z) histone methyltransferase has wide implications. These findings suggest possible link of Polycomb system to diverse cellular processes including senescence.     

Polycomb, pairing and PIWI--RNA silencing and nuclear interactions

In Drosophila, the RNA interference (RNAi) genes participate in Polycomb (Pc)-mediated transgene silencing. Recently, the involvement of the RNAi genes in Pc silencing, pairing-sensitive silencing and long-range contacts among Pc-associated sequences has been explored. These Pc-associated sequences are involved with the control of the proper expression of developmental HOX genes.     

Epigenetic silencing of genomic structural variations

A great amount of copy number variations (CNVs) are identified in the human genome. Most of them are neutral; nevertheless, the role of CNVs in the pathogenesis of hereditary diseases is still significant. Especially, this is important for neuropsychiatric disorders, such as intellectual disability and autism. When analyzing the CNV-associated diseases, the controversial question is to distinguish the pathogenic CNVs among common polymorphic variants and to predict the disease risk in other children of the family. Unfortunately, the mechanisms of phenotypic expression and incomplete penetrance of CNVs remain largely unknown. Currently, incomplete penetrance and variable expressivity of CNVs are attributed mainly to allelic interaction of different genetic variations. However, epigenetic mechanisms of gene expression regulation in the context of structural variation of the genome are poorly explored. It is possible that epigenetic modifications of the genome regions with CNVs may underlie the understanding of ways of phenotypic manifestations of structural variations in the human genome.     

p300/CBP sustains Polycomb silencing by non-enzymatic functions

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Biochemical mechanisms of the RNA-induced silencing complex

In less than 10 years since its inception, RNA interference （RNAi） has had extraordinary impact on biomedical science. RNAi has been demonstrated to influence numerous biological and disease pathways. Development and adoption of RNAi technologies have been prolific ranging from basic loss-of-function tools, genome-wide screening libraries to pharmaceutical target validation and therapeutic development. However, understanding of the molecular mechanisms of RNAi is far from complete. The purpose of this brief review is to highlight key achievements in elucidating the bio- chemical mechanisms of the RNA-induced silencing complex and to outline major challenges for the field.     

Hunchback-independent silencing of late Ubx enhancers by a Polycomb Group Response Element.

Drosophila homeotic genes are kept silent outside of their appropriate expression domains by a repressive chromatin complex formed by the Polycomb Group proteins. In the case of the Ubx gene, it has been proposed that the early repressor HB, binding at enhancers, recruits the Polycomb complex and specifies the domain of repression. We show that some Ubx enhancers are activated after blastoderm. If a Polycomb Response Element (PRE) is combined with such late enhancers, repression of a reporter gene can be established everywhere in the embryo, irrespective of the presence or absence of hunchback protein. If, however, these late enhancers are combined with a Ubx early enhancer, as well as a PRE, repression is established only where the reporter gene was inactive at early stages. These results imply that the Polycomb complex is not dependent on hunchback and suggest that the pattern of silencing reflects rather the state of activity of the gene at the time the Polycomb complex is formed.     

Temporal and genomic analysis of additive genetic variance in breeding programmes

Genetic variance is a central parameter in quantitative genetics and breeding. Assessing changes in genetic variance over time as well as the genome is therefore of high interest. Here, we extend a previously proposed framework for temporal analysis of genetic variance using the pedigree-based model, to a new framework for temporal and genomic analysis of genetic variance using marker-based models. To this end, we describe the theory of partitioning genetic variance into genic variance and within-chromosome and between-chromosome linkage-disequilibrium, and how to estimate these variance components from a marker-based model fitted to observed phenotype and marker data. The new framework involves three steps: (i) fitting a marker-based model to data, (ii) sampling realisations of marker effects from the fitted model and for each sample calculating realisations of genetic values and (iii) calculating the variance of sampled genetic values by time and genome partitions. Analysing time partitions indicates breeding programme sustainability, while analysing genome partitions indicates contributions from chromosomes and chromosome pairs and linkage-disequilibrium. We demonstrate the framework with a simulated breeding programme involving a complex trait. Results show good concordance between simulated and estimated variances, provided that the fitted model is capturing genetic complexity of a trait. We observe a reduction of genetic variance due to selection and drift changing allele frequencies, and due to selection inducing negative linkage-disequilibrium.Subject terms: Genetic variation, Quantitative trait, Agricultural genetics, Plant breeding, Agriculture