Capra hircus breed:Alpine
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA817396 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR18518900_1.fastq.gz | Fastqsanger.gz | |||
| SRR18518900_2.fastq.gz | Fastqsanger.gz | |||
| SRR18518901_1.fastq.gz | Fastqsanger.gz | |||
| SRR18518901_2.fastq.gz | Fastqsanger.gz | |||
| SRR18518902_1.fastq.gz | Fastqsanger.gz |
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Project description:In dairy ruminants transcriptome profiling has enabled the identification of genes, pathways and regulatory networks activated in mammary tissues during experimental infection by various pathogens, including E. coli, S. aureus and S. uberis. Information in goats are still low and many host-pathogen interaction mechanisms have to be explained. The objectives of the present study were (1) to identify the network of genes that becomes activated in caprine blood and milk somatic cells in early response towards a S. aureus challenge in order to better understand the local and sistemic response and (2) to search any difference in this immune response by using two animal groups belonging to a caprine reference family established based on founders with adverse SCC breeding values. Udders from ten healthy French Alpine goats were infected with S. aureus and samples of blood and milk cells were collected at 0, 24 and 30 hours after infection. Alterations in the transcriptome profile were investigated using a custom bovine DNA microarray containing 43.822 unique gene probes.
2011-11-23 | E-GEOD-33894 | biostudies-arrayexpress
Project description:Alpine goat phenotypes for quality components have been routinely recorded for many years and deposited in the Council on Dairy Cattle Breeding (CDCB) repository. The data collected were used to conduct an exploratory genome-wide association study (GWAS) from 72 female Alpine goats originating from locations throughout the U.S. Genotypes were identified with the Illumina Goat 50K single nucleotide polymorphisms (SNP) Beadchip. The analysis used a polygenic model where the dropping criteria was the Call Rate ≥ 0.95. The initial dataset was composed of ~ 60,000 rows of SNPs, 21 columns of phenotypic traits and composed of 53,384 scaffolds containing other informative data points used for genomic predictive power. Phenotypic association with the 50KBeadchip revealed 26,074 reads of candidate genes. These candidate genes segregated as separate novel SNPs and were identified as statistically significant regions for genome and chromosome level trait associations. Candidate genes associated differently for each of the following phenotypic traits: test day milk yield (13,469 candidate genes), test day protein yield (25,690 candidate genes), test day fat yield (25,690 candidate genes), percentage protein (25,690 candidate genes), percentage fat (25,690 candidate genes), and percentage lactose content (25,690 candidate genes). The outcome of this study supports elucidation of novel genes that are important for livestock species in association to key phenotypic traits. Validation towards the development of marker-based selection that provide precision breeding methods will thereby increase breeding value. Specific aims: 1) Improve on contributions to the phenotype repository, the Council on Dairy Cattle Breeding (CDCB) for milk quality traits that are economically important for goat production while developing a corresponding DNA repository for each of the animals with significant genotype-phenotype associations. 2) Develop genomic prediction tools and provide data for a better database for tools to predict phenotypic traits by initially using the high density Goat50KSNP BeadChip for the selection of more specific SNPs associated with select signatures (genes) for phenotypic traits in American Alpine goats. 3) To establish whether a low number of goat subjects (< 300 goats) will provide statistically significant (p < 0.05) predictive capabilities for desired breeding traits in American Alpine dairy goats.
2020-02-19 | GSE145419 | GEO
Project description:This investigation reports a differential proteomic analysis of the goat milk to evaluate and understand the protein changes induced by Staphylococcus spp. during a subclinical intramammary infection (IMI). A number of 9 milk samples from multiparous goats were selected for the study, 3 of which in mid-lactation (30-60 Days in milk - DIM) with very low somatic cell count (SCC) from half-udders producing a sterile milk bacterial culture (MLU), 3 of which in late lactation samples (> 250 DIM) with SCC > 2,000,000 cells/mL from half-udders producing a sterile milk bacterial culture for the whole lactation (LHU) and in conclusion 3 in late lactation (> 250 DIM) with SCC > 2,000,000 cells/mL from goat half-udders with a milk bacterial culture repeatedly positive for Staphylococcus aureus (LHS). Samples were analyzed using a shotgun proteomics approach, based on filter-aided sample preparation (FASP) followed by LC-MS/MS and on differential analysis conducted by spectral count approach (1). (1) Pisanu S, Cacciotto C, Pagnozzi D, Puggioni GMG, Uzzau S, Ciaramella P, Guccione J, Penati M, Pollera C, Moroni P, Bronzo V, Addis MF. Proteomic changes in the milk of water buffaloes (Bubalus bubalis) with subclinical mastitis due to intramammary infection by Staphylococcus aureus and by non-aureus staphylococci. Sci Rep, 2019, 9 (1), 15850. Here, we reported both a characterization of goat milk proteins and a panel of differential proteins specific of S. Aureus-infected milk that mostly affected proteins involved in defense response processes and cytoskeleton organization. In conclusion, our results provide a depth characterization of milk proteins in goat samples uninfected and infected with S. Aureus, describe the changes induced by LHU and LHS subclinical intramammary infection and suggest indications to reveal subclinical staphylococcal mastitis in goat by a proteomic investigation of milk.
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2018-01-02 | PXD007516 | Pride
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Project description:Caprine arthritis and encephalitis (CAE), caused by small ruminant lentivirus (SRLV), is a key disease of goats, with chronic inflammation of joints and brain symptoms, leading to losses in milk production and animal trade. In this study we analyzed gene expressions in milk somatic cells (MSCs) of seropositive (SRLV-SP) and seronegative (SRLV-SN) goats to identify transcriptomic changes using a non-invasive sampling method. Materials and Methods: The study was conducted on goats of two Polish breeds (Polish Improved White and Polish Improved Fawn) in their first lactation, kept at the Institute of Genetics and Animal Biotechnology Polish Academy of Sciences. MSCs were isolated from milk and gene expression was analyzed using Goat Gene Expression microarray. The results were verified by RT-qPCR for five genes (DUSP26, PRLR, SCARA3, APBB2, OR4F4). Statistical analysis was performed in Gene Spring 12 software. Results: Microarrays showed reduced expression of DUSP26, PRLR, SCARA3, APBB2 and OR4F4 genes in SRLV-SP goats. RT-qPCR confirmed changes for DUSP26, SCARA3 and APBB2. Functional analysis indicated associations with immune processes and HIV-like pathways. Discussion: The results suggest that SRLV induces transcriptomic perturbations, especially in immunity-related genes. MSCs are an effective model for non-invasive studies, and further studies may support strategies for combating CAE.
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