Zuchtwert – Exome capture
Ontology highlight
ABSTRACT:
PROVIDER: PRJEB28165 | ENA |
REPOSITORIES: ENA
Similar Datasets
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2022-05-06 | PRJEB52597 | EVA
Project description:Bread wheat (Triticum aestivum L.) is one of the most valuable cereal crops for the human consumption. Its grain storage proteins greatly impact bread quality, though may cause food intolerances or allergies in susceptible individuals. Consequently, the investigation of a proteome polymorphism among wheat varieties is important to spot the genotypes, which would be promising donors for the breeding of hypoallergenic cereals. Herein, we discovered diversity of grain proteins in three Ukrainian wheat cultivars: ‘Sotnytsia’, ‘Panna’ (both modern selection) and ‘Ukrainka’ (old landrace). Firstly, proteins were isolated with a SDS-containing buffer that allowed extraction of various groups of storage proteins (glutenins, gliadins, globulins and albumins). Secondly, the proteome was profiled by the two-dimensional gel electrophoresis, revealing 810 clearly-separated gel spots. Software-assisted analysis of gel images, showed 66 differentially abundant proteins. Using multi-enzymatic digestion, followed by the tandem mass spectrometry, we identified 49 differentially accumulated proteins. Parallel ultrahigh-performance liquid chromatography profiling and direct mass spectrometry quantification complemented the results. With this approach we quantified 127 proteins, 12 being differentially abundant. Principal component analysis confirmed genotype as a major source of variation in both cases. Non-gluten fraction was the most diverse among investigated bread wheat cultivars. Information from public databases of clinically relevant plant proteins highlighted variable groups of wheat allergens/toxins. Data suggested that one of the modern cultivars contained less health affecting proteins in grain. Finally, we proposed set of genetic landmarks for the development of DNA marker system, which will enable fast and efficient assessment of medical safety of multiple wheat genotypes to facilitate breeding programs.
2020-05-20 | PXD012940 | Pride
Project description:We propose a targeted re-sequencing simulator Wessim that generates synthetic exome sequencing reads from a given sample genome. Wessim emulates conventional exome capture technologies, including Agilent's SureSelect and NimbleGen's SeqCap, to generate DNA fragments from genomic target regions. The target regions can be either specified by genomic coordinates or inferred from in silico probe hybridization. Coupled with existing next-generation sequencing simulators, Wessim generates a realistic artificial exome sequencing data, which is essential for developing and evaluating exome-targeted variant callers.Source code and the packaged version of Wessim with manuals are available at http://sak042.github.com/Wessim/.Supplementary data are available at Bioinformatics online.
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Project description:When GPC transcription factor in hexaploid wheat is down-regulated by stable RNA interference (GPC RNAi), senescence is significantly delayed and grain protein content together with the overall nutrient partitioning to the grain is greatly reduced. mRNA-seq was used to catalogue the genes that are regulated by the GPC transcription factor during monocarpic senescence. cDNA was prepared from wild type bread wheat plants and GPC RNAi plants 12 days after anthesis and sequenced by Illumina. Four biological replications per genotypes were sequenced. To determine gene expression levels, reads were aligned to a reference transcriptome generated by assemblying 454-reads obtained from the same biological material (454 assembled sequences: TSA project 59945 - accession numbers: HP608076-HP639668).
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Project description:BACKGROUND: Human exome resequencing using commercial target capture kits has been and is being used for sequencing large numbers of individuals to search for variants associated with various human diseases. We rigorously evaluated the capabilities of two solution exome capture kits. These analyses help clarify the strengths and limitations of those data as well as systematically identify variables that should be considered in the use of those data. RESULTS: Each exome kit performed well at capturing the targets they were designed to capture, which mainly corresponds to the consensus coding sequences (CCDS) annotations of the human genome. In addition, based on their respective targets, each capture kit coupled with high coverage Illumina sequencing produced highly accurate nucleotide calls. However, other databases, such as the Reference Sequence collection (RefSeq), define the exome more broadly, and so not surprisingly, the exome kits did not capture these additional regions. CONCLUSIONS: Commercial exome capture kits provide a very efficient way to sequence select areas of the genome at very high accuracy. Here we provide the data to help guide critical analyses of sequencing data derived from these products.
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2014-12-11 | GSE64030 | GEO
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2017-03-29 | GSE92952 | GEO
Project description:Mapping-by-sequencing data for HvRAW1. Exome sequencing was done for two phenotypic bulks, each comprising 180 rough- or smooth-awned recombinants of the Morex x Barke RIL F8 population.
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