Cattle reseq global variation
Ontology highlight
ABSTRACT:
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| ERR035708_1.fastq.gz | Fastqsanger.gz | |||
| ERR035708_2.fastq.gz | Fastqsanger.gz | |||
| ERR035709_1.fastq.gz | Fastqsanger.gz | |||
| ERR035709_2.fastq.gz | Fastqsanger.gz | |||
| ERR035710_1.fastq.gz | Fastqsanger.gz |
Items per page: 5 1 - 5 of 138 |
Similar Datasets
Project description:GeneSeek HD Bovine 77k Genotyping array is used to estimate population structure and ancestry of bovine and evaluate loci responsible for complex traits. Further, copy number variation of bovine can be estimated by GeneSeek HD Bovine 77k Genotyping array. Here, we estimate population structure and ancestry of Qinchuan cattle.
2017-06-15 | GSE100038 | GEO
Project description:Salmonella Paratyphi A global variation
| PRJEB2288 | ENA
Project description:This project aimed to characterise the immune response of cattle to buffalo fly infestation using cattle serum samples. The cattle were phenotyped into two groups, high buffalo fly burden and low buffalo fly burden cattle, following exposure to buffalo flies. The SWATH analysis was sued to measure the relative abundance of proteins in serum samples of the two groups at different time points.
2024-08-08 | PXD039655 | Pride
Project description:Copy number variations (CNVs), which represent a significant source of genetic diversity in mammals, are currently being associated with phenotypes of clinical relevance, mostly in humans and mice. Notwithstanding, little is known about the extent of CNV that contributes to genetic variation in cattle. This study reports the highest resolution map of copy number variation in the cattle genome, with 304 CNV regions (CNVRs) being identified among the genomes of 20 bovine samples from 4 dairy and beef breeds. We used a set of NimbleGen CGH arrays that tile across the assayable portion of the cattle genome with approximately 6.3 million probes, at a 301 bp median probe spacing. These CNVRs covered 0.68% (23 Mb) of the genome, and ranged in size from 1.7 to 2,031 kb (median size 16.7 kb). About 20% of the CNVs colocalized with segmental duplications while 30% encompassed genes, mostly related with environmental response. About 10% of the orthologous CNV cow-human genes are related with human disease susceptibility and, hence, may have important phenotypic consequences. Together, this analysis provides a useful resource to assist with the assessment of CNVs in the contexts of bovine variation, health and productive efficiency.
2010-04-22 | GSE18174 | GEO
Project description:Copy number variations (CNVs), which represent a significant source of genetic diversity in mammals, are currently being associated with phenotypes of clinical relevance, mostly in humans and mice. Notwithstanding, little is known about the extent of CNV that contributes to genetic variation in cattle. This study reports the highest resolution map of copy number variation in the cattle genome, with 304 CNV regions (CNVRs) being identified among the genomes of 20 bovine samples from 4 dairy and beef breeds. We used a set of NimbleGen CGH arrays that tile across the assayable portion of the cattle genome with approximately 6.3 million probes, at a 301 bp median probe spacing. These CNVRs covered 0.68% (23 Mb) of the genome, and ranged in size from 1.7 to 2,031 kb (median size 16.7 kb). About 20% of the CNVs colocalized with segmental duplications while 30% encompassed genes, mostly related with environmental response. About 10% of the orthologous CNV cow-human genes are related with human disease susceptibility and, hence, may have important phenotypic consequences. Together, this analysis provides a useful resource to assist with the assessment of CNVs in the contexts of bovine variation, health and productive efficiency. 20 samples were analyzed in a dye-swap loop design. In order to cover the latest bovine genome assembly (bt4) with high density, custom Nimblegen HD2 CGH arrays were planned in 3 designs. Each design covered a specific set of chromosomes with 2.1M probes, which yielded 420 bp of average probe spacing (301 bp median probe spacing).
2010-04-22 | E-GEOD-18174 | biostudies-arrayexpress
Project description:Black cattle is a new breed of beef cattle developed by combining modern biotechnologies such as somatic cell cloning and conventional breeding methods. To provide new ideas for improving meat quality and generating new breeds of cattle, the important candidate genes affecting fat deposition in two kinds of cattle were identified. Eighteen months Black cattles and Luxi cattles were randomly assigned into two environmental. The longissimus dorsi muscle were collected on Black cattle and Luxi cattle,for analyses including fatty acid determinationrs, high-throughput sequencing metagenomics, qRT-PCR expression profile and western blot.The ratio of unsaturated fatty acids to saturated fatty acids was 1.37:1 and 1.24:1 in the muscle tissues of Black cattle and Luxi cattle, respectively. The results of RNA-Seq analysis revealed 1,415 DEGs(fold change ≥ ± 2, P<0.05) between the longissimus dorsi of Black cattle and yellow cattle. A total of 939 genes were upregulated, and the other 476 genes were downregulated. With GO enrichment analysis, it was found that the identified DEGs were significantly enriched in biological regulation, regulation of the Wnt signaling pathway, negative regulation of the Wnt signaling pathway, cAMP metabolic process, fat cell differentiation, and brown fat cell differentiation, among other functions. Regulation of lipolysis in adipocytes, AMPK signaling pathway, adipocytokine signaling pathway and PPAR signaling pathway in the KEGG pathway database were significantly enriched. PPI network analysis showed that the downregulated genes FABP4, ADIPOQ, PLIN1, PLIN2 and LIPE were closely linked to other DEGs and were the key sites of multiple metabolic pathways. Combined with qRT-PCR and protein expression profile analysis, the expression level of fat acid metabolism related genes (FABP4, ADIPOQ) in black cattle was high and the difference was significant. Changes in the expression of fatty acid metabolism-related genes in Black cattle and Luxi cattle were analyzed and important candidate marker genes (such as ADIPOQ and FABP4) that affect fat deposition were identified in order to provide a genetic basis for the efficient breeding of production performance, establish a molecular marker database for local cattle breeds and support the cultivation of new breeds.
2020-11-12 | GSE161272 | GEO
Project description:Copy number variations (CNVs) affect a wide range of phenotypic traits; however, CNVs in or near segmental duplication regions are often intractable. Using a read depth approach based on next-generation sequencing, we examined genome-wide copy number differences among five taurine (three Angus, one Holstein and one Hereford) and one indicine (Nelore) cattle. Within mapped chromosomal sequence, we identified 1,265 CNV regions comprising ~55.6 Mbp sequence-476 of which (~38%) have not previously been reported. We validated this sequence-based CNV call set with aCGH, qPCR and FISH, achieving a validation rate of 82% and a false positive rate of 8%. We further estimated absolute copy numbers for genomic segments and annotated genes in each individual. Surveys of the top 25 most variable genes revealed that the Nelore individual had the lowest copy numbers in 13 cases (~52%, chi squared test; p value <0.05). In contrast, genes related to pathogen- and parasite-resistance, such as CATHL4 and ULBP17, were highly duplicated in the Nelore individual relative to the taurine cattle, while genes involved in lipid transport and metabolism, including APOL3 and FABP2, were highly duplicated in the beef breeds. These CNV regions also harbor genes like BPIFA2A (BSP30A) and WC1, suggesting that some CNVs may be associated with breed-specific differences in adaptation, health, and production traits. By providing the first individualized cattle CNV and segmental duplication maps and genome-wide gene copy number estimates, we enable future CNV studies into highly duplicated regions in the cattle genome. 5 NimbleGen Bos Taurus UMD3 custom 2.1M whole genome high density aCGH
2012-01-25 | E-GEOD-31018 | biostudies-arrayexpress
Project description:Goal: To identify copy number variation in normal individuals using high density, non-polymorphic oligonucleotide probes Background DNA sequence diversity within the human genome may be more greatly affected by copy number variations (CNVs) than single nucleotide polymorphisms (SNPs). Although the importance of CNVs in genome wide association studies (GWAS) is becoming widely accepted, the optimal methods for identifying these variants are still under evaluation. We have previously reported a comprehensive view of CNVs in the HapMap DNA collection using high density 500K EA (Early Access) SNP genotyping arrays which revealed greater than 1,000 CNVs ranging in size from 1kb to over 3Mb. Although the arrays used most commonly for GWAS predominantly interrogate SNPs, CNV identification and detection does not necessarily require the use of DNA probes centered on polymorphic nucleotides and may even be hindered by the dependence on a successful SNP genotyping assay. Results In this study, we have designed and evaluated a high density array predicated on the use of non-polymorphic oligonucleotide probes for CNV detection. This approach effectively uncouples copy number detection from SNP genotyping and thus has the potential to significantly improve probe coverage for genome-wide CNV identification. This array, in conjunction with PCR-based, complexity-reduced DNA target, queries over 1.3M independent NspI restriction enzyme fragments in the 200bp to 1100bp size range, which is a several fold increase in marker density as compared to the 500K EA array. In addition, a novel algorithm was developed and validated to extract CNV regions and boundaries. Conclusions Using a well-characterized pair of DNA samples, close to 200 CNVs were identified, of which nearly 50% appear novel yet were independently validated using quantitative PCR. The results indicate that non-polymorphic probes provide a robust approach for CNV identification, and the increasing precision of CNV boundary delineation should allow a more complete analysis of their genomic organization. Keywords: Copy number variation (CNV) detection
2008-04-24 | GSE9053 | GEO
Project description:Background: Transcriptomic variation among cattle breeds and their crossbreds may help to better understanding of consequences of crossbreeding and heterosis. In this study the differences in biological functions and pathways of three crossbreds including 50 and 75 percent Holstein were compared with their purebred parents, Holstein and Taleshi (an indigenous breed) cattle. Results: Five populations and their ten comparisons were studied by bioinformatics tools for transcriptome analysis. We pooled blood RNA of at least 8 animals of each population prior to RNA sequencing. The obtained results showed that total expressed transcripts in all populations were 72,812 with 22,627 annotated genes. Functional analysis of differentially expressed genes (DEGs) showed that the genetics information processing and metabolism were the most highly-impacted pathways. Among all significantly enriched pathways, eukaryotic translation initiation factor-2 signaling had the highest activation z-score (5.3) in crossbred compared to purebred cattle. The majority of upstream regulators of genes including transcription regulators and cytokines were differentially expressed among populations in which their activation z-score in purebred was more than crossbred cattle. Conclusions: Crossing of Holstein with Taleshi breed resulted in higher activity of pathways related to genetic information processing and lower activity of pathways related to immunity and inflammatory responses. To the best of our knowledge, this is the first study where the differences in pathways and functions were studied using high throughput sequencing of blood in a cattle crossbreeding program. The analysis revealed that the most important differences between studied genotypes, especially between purebred and crossbred cattle, were related to immune functions and metabolism.
2016-09-29 | GSE79677 | GEO
Project description:Genomic structural variation is an important and abundant source of genetic and phenotypic variation. Here we describe the first systematic and genome-wide analysis of copy number variations (CNVs) in modern domesticated cattle using array comparative genomic hybridization (array CGH), quantitative PCR (qPCR) and fluorescent in situ hybridization (FISH). The array CGH panel included 90 animals from 11 Bos taurus, 3 Bos indicus and 3 composite breeds for beef, dairy or dual purpose. We identified over 200 candidate CNV regions (CNVRs) in total and 177 within known chromosomes, which harbor or are adjacent to gains or losses. These 177 high-confidence CNVRs cover 28.1 mega bases or ~1.07% of the genome. Over 50% of the CNVRs (89/177) were found in multiple animals or breeds and analysis revealed breed-specific frequency differences and reflected aspects of the known ancestry of these cattle breeds. Selected CNVs were further validated by independent methods using qPCR and FISH. Approximately 67% of the CNVRs (119/177) completely or partially span cattle genes and 61% of the CNVRs (108/177) directly overlap with segmental duplications. The CNVRs span about 400 annotated cattle genes that are significantly enriched for specific biological functions such as immunity, lactation, reproduction and rumination. Multiple gene families, including ULBP, have gone through ruminant lineage-specific gene amplification. We detected and confirmed marked differences in their CNV frequencies across diverse breeds, indicating that some cattle CNVs are likely to arise independently in breeds and contribute to breed differences. Our results provide a valuable resource beyond microsatellites and single nucleotide polymorphisms to explore the full dimension of genetic variability for future cattle genomic research. The custom aCGH chips that interrogated the whole genome CNVs were build for 90 cattles from diverse breeds, with Hereford L1 Dominette 01449 as refference sample.
2010-03-02 | E-GEOD-19866 | biostudies-arrayexpress