Ontology highlight
ABSTRACT:
PROVIDER: PRJNA1293697 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:The marbled crayfish (Procambarus virginalis) is a unique freshwater crayfish characterized by genetic uniformity, phenotypic variability, and substantial invasive potential. As invasion into different habitats occurs in the absence of genetic variation, epigenetic mechanisms have been suggested to mediate phenotypic adaptation. However, epigenetic regulation has not been analyzed in this organism yet. Here we show that the recently published P. virginalis draft genome sequence encodes a conserved DNA methylation system. Whole-genome bisulfite sequencing of multiple replicates and different tissues revealed a methylation pattern that is characterized by gene body methylation of housekeeping genes. Interestingly, this pattern was largely tissue-invariant, suggesting a function that is unrelated to cell-fate specification. Indeed, integrative analysis of RNA-seq datasets showed that gene body methylation correlated with stable gene expression, while unmethylated genes often showed a high degree of inter-individual expression variation. Our findings thus establish the methylome of an emerging model organism and suggest that methylation-dependent regulation of gene expression variability may facilitate the phenotypic adaptation and invasive spread of this animal.
2018-10-11 | GSE120450 | GEO
Project description:In order to validate of CNV detection from low-coverage whole-genome sequencing in the blood samples from recurrent miscarriage couples, we employed a customized array Comparative Genomics Hybridization (aCGH, Agilent) approach as chromosomal microarray analysis (CMA) in present study for a cohort of 78 DNA samples from blood. CMA results were compared with low-coverage whole-genome sequencing detection results. 100% consistency was obtained in pathogenic or likely pathogenic CNVs detection.
2017-11-01 | GSE83941 | GEO
Project description:The marbled crayfish (Procambarus virginalis) is a unique freshwater crayfish characterized by genetic uniformity, phenotypic variability, and substantial invasive potential. As invasion into different habitats occurs in the absence of genetic variation, epigenetic mechanisms have been suggested to mediate phenotypic adaptation. However, epigenetic regulation has not been analyzed in this organism yet. Here we show that the recently published P. virginalis draft genome sequence encodes a conserved DNA methylation system. Whole-genome bisulfite sequencing of multiple replicates and different tissues revealed a methylation pattern that is characterized by gene body methylation of housekeeping genes. Interestingly, this pattern was largely tissue-invariant, suggesting a function that is unrelated to cell-fate specification. Indeed, integrative analysis of RNA-seq datasets showed that gene body methylation correlated with stable gene expression, while unmethylated genes often showed a high degree of inter-individual expression variation. Our findings thus establish the methylome of an emerging model organism and suggest that methylation-dependent regulation of gene expression variability may facilitate the phenotypic adaptation and invasive spread of this animal.
2018-10-11 | GSE112410 | GEO
Project description:The marbled crayfish (Procambarus virginalis) is a unique freshwater crayfish characterized by genetic uniformity, phenotypic variability, and substantial invasive potential. As invasion into different habitats occurs in the absence of genetic variation, epigenetic mechanisms have been suggested to mediate phenotypic adaptation. However, epigenetic regulation has not been analyzed in this organism yet. Here we show that the recently published P. virginalis draft genome sequence encodes a conserved DNA methylation system. Whole-genome bisulfite sequencing of multiple replicates and different tissues revealed a methylation pattern that is characterized by gene body methylation of housekeeping genes. Interestingly, this pattern was largely tissue-invariant, suggesting a function that is unrelated to cell-fate specification. Indeed, integrative analysis of RNA-seq datasets showed that gene body methylation correlated with stable gene expression, while unmethylated genes often showed a high degree of inter-individual expression variation. Our findings thus establish the methylome of an emerging model organism and suggest that methylation-dependent regulation of gene expression variability may facilitate the phenotypic adaptation and invasive spread of this animal.
2018-10-11 | GSE120358 | GEO
Project description:The marbled crayfish (Procambarus virginalis) is a unique freshwater crayfish characterized by genetic uniformity, phenotypic variability, and substantial invasive potential. As invasion into different habitats occurs in the absence of genetic variation, epigenetic mechanisms have been suggested to mediate phenotypic adaptation. However, epigenetic regulation has not been analyzed in this organism yet. Here we show that the recently published P. virginalis draft genome sequence encodes a conserved DNA methylation system. Whole-genome bisulfite sequencing of multiple replicates and different tissues revealed a methylation pattern that is characterized by gene body methylation of housekeeping genes. Interestingly, this pattern was largely tissue-invariant, suggesting a function that is unrelated to cell-fate specification. Indeed, integrative analysis of RNA-seq datasets showed that gene body methylation correlated with stable gene expression, while unmethylated genes often showed a high degree of inter-individual expression variation. Our findings thus establish the methylome of an emerging model organism and suggest that methylation-dependent regulation of gene expression variability may facilitate the phenotypic adaptation and invasive spread of this animal.
2018-10-11 | GSE112409 | GEO
Project description:Low coverage whole-genome sequencing have been performed on uterine leiomyosarcoma to uncovered novel potential driver genes and recurrently affected pathways.
2018-07-02 | E-MTAB-5763 | biostudies-arrayexpress
Project description:Next generation sequencing platforms have become essential tools for understanding DNA in a wide range of contexts. Their success heavily relies on the accuracy, sensitivity and specificity of methods used to discern differences between the reference genome and genomes under investigation. Here we compare the relative performances of five popular single nucleotide variant callers with and without their associated recommended hard filtering criteria. We compare: FreeBayes; the Genome Analysis Toolkit’s Haplotype Caller and Unified Genotyper; SAMtools; and VarScan. We tailor this comparison to suit smaller projects with modest sample numbers (n = 10) and coverage (~10X) to fill a current gap in the literature. Other comparison studies are generally applicable only to larger projects in model species, where there is access to large amounts of sequencing data and curated callsets for base and variant quality score recalibration. We estimated the accuracy, sensitivity and specificity of each pipeline according to the genotype concordance rate and number with the “truth” dataset for 10 canine samples. The truth dataset was defined as genotypes obtained from the CanineHD BeadChip array. Whole genome sequencing data was performed on the Illumina HiSeq2000 or HiSeq2500 platform as 100-101 base pair, paired end reads to an average sample coverage of 10.3X. Apart from GATK Haplotype Caller, applying recommended hard filters did not improve the performance of genotyping concordance at the tested levels of minimum coverage. The default VarScan pipeline with no additional filters applied (VarScan uses SAMtools mpileup, without base alignment quality computation) generally outperformed other callers in terms of accuracy, sensitivity and specificity. The results of this study demonstrate that hard filtering of variant calls from low-powered genome studies can impair accuracy, sensitivity and specificity of callsets and provides some benchmark performance metrics on a range of low coverage levels.
2018-08-31 | GSE117010 | GEO
Project description:Whole-genome DNA libraries were prepared from a population of just under 100 Col/Ler F1 backcrossed to Col. Low-coverage whole-genome sequencing was used to map meiotic crossovers in this population following the protocol described in Rowan et al., 2015, doi: 10.1534/g3.114.016501.
2015-10-15 | E-MTAB-3926 | biostudies-arrayexpress
Project description:Low coverage whole genome sequencing (lc-WGS) from inducible Tet TKO (Tet iTKO) and control (Ctrl) mouse ESCs (mESC), as well as for germline Dnmt TKO mESCs. mESCs were sorted to isolate the Live/Dead dye and Thy1.2 negative CD326+GFP+ population representing the mESCs populations responsive to the tamoxifen treatment. The cells were resuspended in FACS buffer and filtered with a 70 µM filter before sorting. These bulk-population samples were analyzed by using low coverage Whole Genome Sequencing (lc-WGS).
2022-10-01 | GSE214402 | GEO