Ontology highlight
ABSTRACT:
PROVIDER: PRJNA762269 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR15837428_1.fastq.gz | Fastqsanger.gz | |||
| SRR15837428_2.fastq.gz | Fastqsanger.gz | |||
| SRR15837429_1.fastq.gz | Fastqsanger.gz | |||
| SRR15837429_2.fastq.gz | Fastqsanger.gz | |||
| SRR15837430_1.fastq.gz | Fastqsanger.gz |
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Project description:The DNA double-strand breaks that initiate homologous recombination during meiosis are subject to extensive 5ʹâ??3â?² exonucleolytic processing. This resection is a central and conserved feature of recombination, yet its mechanism is poorly understood. Using a purpose-made deep-sequencing method, namely S1Seq, we mapped meiotic resection endpoints genome-wide at high spatial resolution in Saccharomyces cerevisiae. Generating full-length resection tracts requires Exo1 exonuclease activity and the DNA-damage responsive kinase Tel1, but not the helicase Sgs1. Tel1 is also required for efficient and timely initiation of resection. We find that distributions of resection endpoints at individual genomic loci display pronounced heterogeneity that reflects a tendency for nucleosomes to block Exo1 in vivo, yet modeling experiments indicate that Exo1 digests chromatin with high apparent processivity and at rates approaching those for naked DNA in vitro. This paradox points to nucleosome destabilization or eviction as a determining feature of the meiotic resection landscape. 36 samples total: two biological replicate S1Seq maps of S.cerevisiae for each genetic background and time point in meiosis
2016-08-06 | E-GEOD-85253 | biostudies-arrayexpress
Project description:A method to infer genome-wide haplotypes from the analysis of one or two single (human) cells has tremendous applicative value. It would revolutionize not only preimplantation genetic diagnosis of in vitro fertilized human embryos in the clinic, but also animal breeding programs by enabling genome-wide quantitative trait loci selection at the embryonic level. In addition, it allows to further scrutinize drivers of haplotype diversity, mainly meiotic homologous recombination as well as somatic (homologous) recombination processes that occur often during (human) tumorigenesis. We developed a generic approach to type genome-wide single nucleotide polymorphisms in single human cells and to reconstruct genome-wide haplotypes of single or dual cell derived genotypes. Genome-wide sequences of syntenic alleles were determined for EBV-transformed lymphoblastoid cells as well as human blastomeres. To this end, multiple displacement amplified DNA samples of single cells were hybridized to Affymetrix 250K SNP-arrays. Different algorithmic designs were subsequently developed to assess from the single cell-derived SNP-probe intensities the sequence of syntenic alleles and to pinpoint accurately the majority of parental homologous recombination sites using a linkage-based approach.
2012-10-01 | GSE17318 | GEO
Project description:The DNA double-strand breaks that initiate homologous recombination during meiosis are subject to extensive 5ʹ→3′ exonucleolytic processing. This resection is a central and conserved feature of recombination, yet its mechanism is poorly understood. Using a purpose-made deep-sequencing method, namely S1Seq, we mapped meiotic resection endpoints genome-wide at high spatial resolution in Saccharomyces cerevisiae. Generating full-length resection tracts requires Exo1 exonuclease activity and the DNA-damage responsive kinase Tel1, but not the helicase Sgs1. Tel1 is also required for efficient and timely initiation of resection. We find that distributions of resection endpoints at individual genomic loci display pronounced heterogeneity that reflects a tendency for nucleosomes to block Exo1 in vivo, yet modeling experiments indicate that Exo1 digests chromatin with high apparent processivity and at rates approaching those for naked DNA in vitro. This paradox points to nucleosome destabilization or eviction as a determining feature of the meiotic resection landscape.
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Project description:The human hair proteome offers new insight in the field of human identification. Hair often contains DNA that has been degraded due to the process of cornification. The smaller fragments of DNA present a challenge for obtaining useful information concerning the identity of the donor. Proteomic genotyping offers an alternative approach which starts with protein, a biomolecule abundant in the hair shaft. Nonsynonymous single nucleotide polymorphisms may be detected in the sequence of these proteins, allowing the inference of SNP genotypes. Population genetics-based information from these genotypes may be used to calculate random match probability or even infer ancestry. The current challenge of this research is to optimize processing chemistry in order to maximize genetic information from a single human hair shaft. Results indicate that optimal conditions for proteomic analysis of a single human hair include 6 hrs of reduction with 100 mM dithiothreitol at room temperature, alkylation with 200 mM iodoacetamide for 45 min, and 6 hrs of digestion with two 1:50 (enzyme:protein) additions of stabilized trypsin at room temperature, with stirring incorporated into all three steps. Our final conditions using optimized temperatures and incubation times for disulfide reduction and protein digestion produced random match probabilities of up to 1 in 624 million from a single hair with a median value of 1 in 1.1 million, compared to a maximum random match probability of 1 in 1380 and a median value of 1 in 24 for the original processing method.
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Project description:Despite deep evolutionary conservation, recombination varies greatly across the genome, among individuals, sexes and populations and can be a major evolutionary force in the wild. Yet this variation in recombination and its impact on adaptively diverging populations is not well understood. To elucidate the nature and potential consequences of recombination rate variation, we characterized fine-scale recombination landscapes by combining pedigrees, functional genomics and field fitness measurements in an adaptively divergent pair of marine and freshwater threespine stickleback populations from River Tyne, Scotland. Through whole-genome sequencing of large nuclear families, we identified the genomic location of almost 50,000 crossovers and built recombination maps for 36 marine, freshwater, and hybrid individuals at 3.8 kilobase resolution. Using these maps, we quantified the factors driving variation in recombination rate: we find strong heterochiasmy between sexes (68% of the variation) but also differences among ecotypes (21.8%). Hybrids show evidence of significant recombination suppression, both in overall map length and in individual loci. We further tested and found reduced recombination rates both within single marine–freshwater adaptive loci and between loci on the same chromosome, suggestive of selection on linked ‘cassettes’. We tested theory supporting the evolution of linked selection using temporal sampling along a natural hybrid zone, and found that recombinants with shuffled alleles across loci show traits associated with reduced fitness. Our results support predictions that divergence in cis-acting recombination modifiers whose mechanisms are disrupted in hybrids, may have an important role to play in the maintenance of differences among adaptively diverging populations.
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Project description:Despite deep evolutionary conservation, recombination varies greatly across the genome, among individuals, sexes and populations and can be a major evolutionary force in the wild. Yet this variation in recombination and its impact on adaptively diverging populations is not well understood. To elucidate the nature and potential consequences of recombination rate variation, we characterized fine-scale recombination landscapes by combining pedigrees, functional genomics and field fitness measurements in an adaptively divergent pair of marine and freshwater threespine stickleback populations from River Tyne, Scotland. Through whole-genome sequencing of large nuclear families, we identified the genomic location of almost 50,000 crossovers and built recombination maps for 36 marine, freshwater, and hybrid individuals at 3.8 kilobase resolution. Using these maps, we quantified the factors driving variation in recombination rate: we find strong heterochiasmy between sexes (68% of the variation) but also differences among ecotypes (21.8%). Hybrids show evidence of significant recombination suppression, both in overall map length and in individual loci. We further tested and found reduced recombination rates both within single marine–freshwater adaptive loci and between loci on the same chromosome, suggestive of selection on linked ‘cassettes’. We tested theory supporting the evolution of linked selection using temporal sampling along a natural hybrid zone, and found that recombinants with shuffled alleles across loci show traits associated with reduced fitness. Our results support predictions that divergence in cis-acting recombination modifiers whose mechanisms are disrupted in hybrids, may have an important role to play in the maintenance of differences among adaptively diverging populations.
2024-05-24 | GSE254557 | GEO
Project description:The RAG1/RAG2 endonuclease initiates V(D)J recombination at antigen receptor loci but also binds to thousands of places outside of these loci. RAG2 localizes directly to lysine 4 trimethylated histone 3 (H3K4me3) through a PHD finger. The relative contribution of RAG2-dependent and RAG1-intrinsic mechanisms in determining RAG1 binding patterns is not known. Through analysis of deep RAG1 ChIP-seq data, we provide a quantitative description of the forces underlying genome-wide targeting of RAG1. Surprisingly, sequence-specific DNA binding contributes minimally to RAG1 targeting outside of antigen receptor loci. Instead, RAG1 binding is driven by two distinct modes of interaction with chromatin: the first is driven by H3K4me3, promoter-focused, and dependent on the RAG2 PHD, and the second is defined by H3K27Ac, enhancer-focused, and dependent on "non-core" portions of RAG1. Based on this and additional chromatin and genomic features, we formulated a predictive model of RAG1 targeting to the genome. RAG1 binding sites predicted by our model correlate well with observed patterns of RAG1-mediated breaks in human pro-B acute lymphoblastic leukemia. Overall, this study provides an integrative model for RAG1 genome-wide binding and off-target activity, and reveals a novel role for the RAG1 non-core region in RAG1 targeting. ChIP-seq profiles of RAG1 from mouse thymocytes, and H3K27Ac from human REH cell line
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Project description:The data set submitted here contains the raw SNP genotyping data obtained from the analysis of 24 biparental segregating maize (Zea mays L.) populations and their respective parents. The processed and filtered data were used to construct genetic linkage maps which we used in our study of variation of recombination rate in maize. In sexually reproducing organisms, meiotic crossovers ensure the proper segregation of chromosomes and contribute to genetic diversity by shuffling allelic combinations. Such genetic reassortment is exploited in breeding to combine favorable alleles, and in genetic research to identify genetic factors underlying traits of interest via linkage or association-based approaches. Crossover numbers and distributions along chromosomes vary between species, but little is known about their intraspecies variation. In our study, we report on the variation of recombination rates between 22 European maize inbred lines that belong to the Dent and Flint gene pools. We genotyped 23 doubled-haploid populations derived from crosses between these lines with a 50k-SNP array and constructed high-density genetic maps, showing good correspondence with the maize B73 genome sequence assembly. By aligning each genetic map to the B73 sequence, we obtained the recombination rates along chromosomes specific to each population. We identified significant differences in recombination rates at the genome-wide, chromosome, and intrachromosomal levels between populations, as well as significant variation for genome-wide recombination rates among maize lines. Crossover interference analysis using a two-pathway modeling framework revealed a negative association between recombination rate and interference strength. To our knowledge, the present work provides the most comprehensive study on intraspecific variation of recombination rates and crossover interference strength in eukaryotes. Differences found in recombination rates will allow for selection of high or low recombining lines in crossing programs. Our methodology should pave the way for precise identification of genes controlling recombination rates in maize and other organisms.
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