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      Genetic recombination is directed away from functional genomic elements in mice

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          Abstract

          Genetic recombination occurs during meiosis, the key developmental program of gametogenesis. Recombination in mammals has been recently linked to the activity of a histone H3 methyl-transferase, PRDM9 16 , the product of the only known speciation gene in mammals 7 . PRDM9 is thought to determine the preferred recombination sites – recombination hotspots – through sequence-specific binding of its highly polymorphic multi-Zn-finger domain 8 . Nevertheless, Prdm9 knockout mice are proficient at initiating recombination 9 . Here we map and analyze the genome-wide distribution of recombination initiation sites in Prdm9 knockout mice and in two mouse strains with different Prdm9 alleles and their F1 hybrid. We show that PRDM9 determines the positions of practically all hotspots in the mouse genome, with the remarkable exception of the pseudoautosomal region – the only area of the genome that undergoes recombination in 100% of cells 10 . Surprisingly, hotspots are still observed in Prdm9 knockout mice and as in wild-type, these hotspots are found at H3K4 trimethylation marks. However, in the absence of PRDM9, the majority of recombination is initiated at promoters and at other sites of PRDM9-independent H3K4 trimethylation. Such sites are rarely targeted in wild-type mice indicating an unexpected role of the PRDM9 protein in sequestering the recombination machinery away from gene promoter regions and other functional genomic elements.

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          Most cited references17

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          A chromatin landmark and transcription initiation at most promoters in human cells.

          We describe the results of a genome-wide analysis of human cells that suggests that most protein-coding genes, including most genes thought to be transcriptionally inactive, experience transcription initiation. We found that nucleosomes with H3K4me3 and H3K9,14Ac modifications, together with RNA polymerase II, occupy the promoters of most protein-coding genes in human embryonic stem cells. Only a subset of these genes produce detectable full-length transcripts and are occupied by nucleosomes with H3K36me3 modifications, a hallmark of elongation. The other genes experience transcription initiation but show no evidence of elongation, suggesting that they are predominantly regulated at postinitiation steps. Genes encoding most developmental regulators fall into this group. Our results also identify a class of genes that are excluded from experiencing transcription initiation, at which mechanisms that prevent initiation must predominate. These observations extend to differentiated cells, suggesting that transcription initiation at most genes is a general phenomenon in human cells.
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            Genome-wide identification of in vivo protein–DNA binding sites from ChIP-Seq data

            ChIP-Seq, which combines chromatin immunoprecipitation (ChIP) with ultra high-throughput massively parallel sequencing, is increasingly being used for mapping protein–DNA interactions in-vivo on a genome scale. Typically, short sequence reads from ChIP-Seq are mapped to a reference genome for further analysis. Although genomic regions enriched with mapped reads could be inferred as approximate binding regions, short read lengths (∼25–50 nt) pose challenges for determining the exact binding sites within these regions. Here, we present SISSRs (Site Identification from Short Sequence Reads), a novel algorithm for precise identification of binding sites from short reads generated from ChIP-Seq experiments. The sensitivity and specificity of SISSRs are demonstrated by applying it on ChIP-Seq data for three widely studied and well-characterized human transcription factors: CTCF (CCCTC-binding factor), NRSF (neuron-restrictive silencer factor) and STAT1 (signal transducer and activator of transcription protein 1). We identified 26 814, 5813 and 73 956 binding sites for CTCF, NRSF and STAT1 proteins, respectively, which is 32, 299 and 78% more than that inferred previously for the respective proteins. Motif analysis revealed that an overwhelming majority of the identified binding sites contained the previously established consensus binding sequence for the respective proteins, thus attesting for SISSRs’ accuracy. SISSRs’ sensitivity and precision facilitated further analyses of ChIP-Seq data revealing interesting insights, which we believe will serve as guidance for designing ChIP-Seq experiments to map in vivo protein–DNA interactions. We also show that tag densities at the binding sites are a good indicator of protein–DNA binding affinity, which could be used to distinguish and characterize strong and weak binding sites. Using tag density as an indicator of DNA-binding affinity, we have identified core residues within the NRSF and CTCF binding sites that are critical for a stronger DNA binding.
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              Genome-wide analysis reveals novel molecular features of mouse recombination hotspots.

              Meiotic recombination predominantly occurs at discrete genomic loci called recombination hotspots, but the features defining these areas are still largely unknown (reviewed in refs 1-5). To allow a comprehensive analysis of hotspot-associated DNA and chromatin characteristics, we developed a direct molecular approach for mapping meiotic DNA double-strand breaks that initiate recombination. Here we present the genome-wide distribution of recombination initiation sites in the mouse genome. Hotspot centres are mapped with approximately 200-nucleotide precision, which allows analysis of the fine structural details of the preferred recombination sites. We determine that hotspots share a centrally distributed consensus motif, possess a nucleotide skew that changes polarity at the centres of hotspots and have an intrinsic preference to be occupied by a nucleosome. Furthermore, we find that the vast majority of recombination initiation sites in mouse males are associated with testis-specific trimethylation of lysine 4 on histone H3 that is distinct from histone H3 lysine 4 trimethylation marks associated with transcription. The recombination map presented here has been derived from a homogeneous mouse population with a defined genetic background and therefore lends itself to extensive future experimental exploration. We note that the mapping technique developed here does not depend on the availability of genetic markers and hence can be easily adapted to other species with complex genomes. Our findings uncover several fundamental features of mammalian recombination hotspots and underline the power of the new recombination map for future studies of genetic recombination, genome stability and evolution.
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                Author and article information

                Journal
                0410462
                6011
                Nature
                Nature
                Nature
                0028-0836
                1476-4687
                29 March 2012
                13 May 2012
                30 November 2012
                : 485
                : 7400
                : 642-645
                Affiliations
                [1 ]National Institute of Diabetes, Digestive and Kidney Diseases, NIH, Bethesda, MD, USA
                [2 ]Department of Biochemistry and Molecular Biology, Uniformed Services University of Health Sciences, Bethesda, MD, USA
                Author notes
                [*]

                These authors contributed equally to this work

                Article
                NIHMS366581
                10.1038/nature11089
                3367396
                22660327
                a70bcae1-aac1-4db4-8acc-2354d49a72c1

                Users may view, print, copy, download and text and data- mine the content in such documents, for the purposes of academic research, subject always to the full Conditions of use: http://www.nature.com/authors/editorial_policies/license.html#terms

                History
                Funding
                Funded by: National Institute of General Medical Sciences : NIGMS
                Award ID: R01 GM084104-01A1 || GM
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