Streptococcus uberis
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA35219 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| Other | ||||
| SRR18739531.fastq.gz | Fastqsanger.gz | |||
| SRR18739532.fastq.gz | Fastqsanger.gz | |||
| SRR18739533.fastq.gz | Fastqsanger.gz | |||
| SRR18739534.fastq.gz | Fastqsanger.gz |
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Project description:Infection caused by bacteria from environmental reservoirs such as E. coli and S. uberis have not decreased in prevalence. Lack of success in controlling bovine mastitis due to S. uberis is associated with the route of infection which is not well understood and there is inadequate information on pathogenesis of S. uberis. Therefore, this study was to investigate the virulence factors of S. uberis using comparative genome analyses using isolates from cows with clinical mastitis and isolates from cows with a low cell count in their milk using a Subtracted Diversity Array (SDA). This study also reports the construction and validation of a microarray capable of fingerprinting the virulent and non-virulent isolates using the SDA technique.
2016-12-31 | GSE63835 | GEO
Project description:Clinical isolate that causes bovine mastitis
| PRJNA353 | ENA
Project description:Supplementation of a Saccharomyces cerevisiae fermentation product modulates dairy cows health by reducing incidence and severity of mastitis, one of the most common and economically important diseases of the dairy industry. However, mechanisms remain unclear. We conducted a comprehensive molecular analysis, along with physiological data, on dairy cows supplemented for 45 days with NutriTek, a commercially available S. cerevisiae fermentation product, and then subjected to a mastitis challenge . NutriTek supplementation improved cow’s responses to a mastitis challenge by stimulating influx of immune cells to the mammary gland , enhancing their bactericidal capacity, and protecting mammary tissues from the side effect of an immune response allowing faster and more complete recovery from milk production drop
2020-12-01 | GSE149194 | GEO
Project description:Bovine mastitis causes changes in the serum exosomal miRNAs expression. Serum samples from healthy dairy cows (n = 7) were compared to those of cows with subclinical (n = 7 ) using small RAN sequencing. Three hundred fifty-five miRNAs (341 known and 14 novel ones) were identified. There were 42 miRNAs up-regulated in serum-derived EVs from cows with subclinical mastitis, including bta-miR-1246, bta-miR-2431-3p, bta-miR-126-3p, bta-miR-29a, etc. The MAPK signaling pathway was the most affected pathway by clinical mastitis. Thus, miRNA alterations in mastitis serum-derived EVs support the potential regulator role of specific miRNAs as exosomal cargo in clinical mastitis physiology.
2022-08-31 | GSE202849 | GEO
Project description:These sequences are from bacteria isolated from milk from cows with mastitis.
| PRJEB51310 | ENA
Project description:Streptococcus uberis isolates from cases of bovine mastitis
| PRJNA795889 | ENA
Project description:Streptococcus uberis is one of the principal causative agents of bovine mastitis. The organism is typically considered an environmental pathogen, however, recent studies also suggest possible host adaptation. In this study, two multilocus sequence typing (MLST) schemes and whole genome DNA microarrays were used to evaluate the degree and nature of genome flexibility between S. uberis strains. The 21 isolates examined in this study arise from a collection of 232 international isolates for which previous epidemiological and preliminary genotyping data existed. The microarray analysis resulted in an estimate of the core genome for S. uberis, consisting of 1530 ORFs, among 1855 tested, representing 82.5% of the S. uberis 0140J genome. The remaining ORFs were variable in gene content across the 21 tested strains. A total of 26 regions of difference (RDs), consisting of three or more contiguous ORFs, were identified among the variable genes. Core genes mainly encoded housekeeping functions, while the variable genes primarily fell within categories such as protection responses, degradation of small molecules, laterally acquired elements, and two component systems. Recombination detection procedures involving the MLST loci suggested S. uberis is a highly recombinant species, precluding accurate phylogenetic reconstructions involving these data. On the other hand, the microarray data did provide limited support for an association of gene content with strains found in multiple cows and/or multiple herds, suggesting the possibility of genes related to bovine transmissibility or host-adaptation. Keywords: comparative genomic hybridization
2009-09-13 | GSE12780 | GEO
Project description:Background Our objective was to compare mammary tissue gene expression profiles during a Streptococcus uberis (S. uberis) mastitis challenge between lactating cows subjected to dietary-induced negative energy balance (NEB; n = 5) and cows fed ad libitum to maintain positive energy balance (PEB; n = 5). The NEB cows were feed-restricted to 60% of calculated net energy for lactation requirements for 7 d, and cows assigned to PEB were fed the same diet for ad libitum intake. Five days after feed restriction, one rear mammary quarter of each cow was inoculated with 5,000 cfu of S. uberis (O140J). At 20 h post-inoculation, both the S. uberis-infected mammary quarters (i.e., YES) and non-infected rear quarters (i.e., NO) from all cows were biopsied for RNA extraction. Effect of S. uberis Intramammary Infection (IMI; YES vs NO) S. uberis IMI resulted in 2,102 oligos (1,939 annotated genes) differentially expressed genes (DEG; YES versus NO). Of these, 1,082 genes were up-regulated during IMI and were primarily involved with the immune response, e.g., IL6, TNF, IL8, IL10, SELL, LYZ, and SAA1. Genes down-regulated (1,020) included those associated with milk fat synthesis, e.g., LPIN1, LPL, CD36, and BTN1A1. Pathway analysis of all DEG indicated that IL-10 Signaling, IL-6 Signaling, and Glucocorticoid Receptor Signaling were among the top canonical pathways affected by infection. Interestingly, LXR/RXR Signaling was also a primary affected pathway, indicating a relationship between immune system response and metabolism during an IMI. Network analysis indicated that TNF had positive relationships (i.e. up-regulation) with genes involved with immune system function (e.g., CD14, IL8, IL1B, and TLR2) and negative relationships (i.e., down-regulation) with genes involved with lipid metabolism (e.g., GPAM, SCD, FABP4, CD36, and LPL) and antioxidant activity (SOD1). Results provided information into the early response factors associated with the innate immune response to S. uberis infection. Our study indicated that IMI challenge with S. uberis (strain O140J) elicited a strong transcriptomic response, leading to an overall up-regulation of genes involved in the innate immune response and a down-regulation of genes involved with lipid metabolism. Effect of NEB Within Infected Quarters (YES) Energy balance (NEB vs. PEB) resulted in 285 DEG (FDR ≤ 0.05), with 85 DEG up-regulated and 200 DEG down-regulated. Canonical pathways most affected by NEB were IL-8 Signaling (10 genes), Glucocorticoid Receptor Signaling (13), and NRF2-mediated Oxidative Stress Response (10). Among genes differentially expressed by NEB, Cell Growth and Proliferation (48) and Cellular Development (36) were the most enriched functions. Up-regulated genes included ANXA1, HMOX1, and HLAA; down-regulated genes included NOTCH1 and CCND1. Regarding immune response, HLAA was up-regulated due to NEB, whereas the majority of genes involved in immune response were down-regulated (e.g., AKT1, IRAK1, MAPK9, and TRAF6). Results helped identify mechanisms affected by dietary-induced NEB that may be associated with the impairment of immune function and increased risk of mastitis in cows experiencing postpartal NEB. Effect of NEB Within Non-Infected Quarters (NO) Energy balance (NEB vs. PEB) resulted in 278 DEG within non-infected rear mammary quarters. Up-regulated DEG most affected by NEB (genes = 180) included genes involved in lipid metabolism and amino acid metabolism. The down-regulated DEG most affected by NEB (n = 98) included genes involved in carbohydrate metabolism, anti-inflammatory response, and apoptosis. Among genes up-regulated, Ingenuity Pathway Analysis® identified Lipid Metabolism (8), Molecular Transport (14), and Small Molecule Biochemistry (15) as some of the most enriched molecular functions. Genes down-regulated by NEB were associated with Cell Growth and Proliferation (21) and Cell Death (18). Results indicate that dietary induced-NEB alters genes primarily associated with cellular metabolism, proliferation, and tumorigenesis but no candidate genes were identified as being associated with risk of disease.
2009-10-26 | GSE15344 | GEO
Project description:Escherichia coli and Staphylococcus aureus are two common pathogenic microorganisms that cause mastitis in dairy cows. They can cause clinical mastitis and subclinical mastitis. In recent studies, lncRNAs have been found to play an important role in the immune responses triggered by microbial inducers. However, the actions of lncRNAs in bovine mastitis remain unclear. The purpose of this study was to explore the lncRNA profile on mastitis.
2021-08-06 | GSE181464 | GEO
Project description:Bovine mastitis, the infection of the mammary gland which leads to great health and economic challenges for dairy farmers is accompanied by dramatic changes in the milk proteome. In this study of naturally occurring mastitis not only have the changes in the milk proteome been quantified in subclinical and clinical mastitis but simultaneous changes in the serum proteome have also been characterised and quantified. Milk and serum samples from healthy dairy cows (n=12) were compared to those of cows with subclinical (n=10) and clinical mastitis (n=112) using TMT label-based proteomic approach. The study included the milk and serum samples taken from thirty-two dairy cows ( kept on private farms located in Croatia. All cows were checked by physical examination. Somatic cells count (SCC) and mastitis test in milk samples were performed. According to the results, cows were assigned into three groups: Group I (control, n=10) consisted of healthy cows with SCC below 400,000 cells/ml on the monthly check-up and a negative mastitis test and without any clinical sign of mastitis. Group II (subclinical mastitis, n=12) comprised cows without clinical signs of mastitis but with SCC above 400,000 cells/ml on the monthly basis and a positive mastitis test at the time of sampling. Group III (clinical mastitis, n=10) consisted of cows with clinical signs of mastitis which include changes in milk appearance (flakes and clots in milk), different stages of udder inflammation (hyperemia, edema, pain, udder enlargement and elevated udder temperature) and disturbance of general health (depression, relaxed cold ears, dehydration, elevated body temperature, increased heart and respiratory rate, decreased ruminal contraction and decreased appetite). Blood samples were taken from v. coccygea and centrifuged at 3000 g for 15 min after clotting for two hours at room temperature. Serum samples were stored at -80°C until analysis. Milk samples were taken aseptically before the morning milking. First few streams were discarded. Teat ends were disinfected with cotton swabs soaked with 70% ethanol. Samples were taken into sterile tubes and transported to laboratory on ice within a few hours.
2021-05-26 | PXD022595 | Pride