Whole genome of Streptococcus uberis
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PROVIDER: PRJEB51310 | ENA |
REPOSITORIES: ENA
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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: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:Milk microRNAs (miRNAs) encapsulated in extracellular vesicles (EVs) are a novel class of bioactive food compounds. Milk produced by cows with subclinical mastitis threatens animals healthy and milk safety. However, little is known about the differentially expressed miRNA in milk-derived EVs related to subclinical mastitis. This study profiled miRNAs in milk-derived EVs from healthy cows and cows with subclinical mastitis. The potential targets for differentially expressed (DE) miRNAs were predicted. Milk-derived EVs were isolated from healthy cows (n = 7, the control group) and cows with subclinical (n = 7, the SM group). Two hundred ninety miRNAs (221 known and 69 novel ones) were identified. The top 20 miRNAs were commonly abundant (> 0.1% of the total read counts) in Healthy and SM groups, were regarded as abundant bovine milk-derived EVs miRNAs. MiR-21-5p was the most highly expressed known miRNA. Target genes of the top 20 abundant miRNAs were significantly enriched in Ras signaling pathway. The bta-miR-21-5p, bta-miR-30a-5p and miR-6-1096 were differentially expressed. For DE miRNAs, there was no significantly enriched pathways were found in the KEGG enrichment analysis. The linkage between the validated target genes and diseases suggested that we pay particular attention to exosome miRNAs from mastitic milk in milk safety.
2022-08-31 | GSE201588 | 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
Project description:Liquid chromatography-mass spectrometry (LC/MS) based label free quantitative proteomics analysis was applied for identification of differentially expressed proteins among the whey samples isolated from, 1) milk from cows with no history of mastitis, negative for S. aureus and somatic cell count (SCC) >2×105 cells\ml and 2) milk samples from sub-clinical mastitis., i.e., positive for S. aureus and SCC >2×105 cells\ml.
2018-01-02 | PXD007516 | Pride
Project description:Early detection of bovine subclinical mastitis may improve treatment strategies and reduce the use of antibiotics. Herein, individual milk samples from Holstein cows affected by subclinical mastitis induced by S. agalactiae and Prototheca spp. were analyzed by untargeted and targeted mass spectrometry approaches to assess changes in their peptidome profiles and identify new potential biomarkers of the pathological condition. Results showed a higher amount of peptides in milk positive at the bacteriological examination when compared with the negative control. However, the different pathogens seemed not to trigger specific effects on milk peptidome. The peptides that best distinguish positive from negative samples are mainly derived from the most abundant milk proteins, especially from β- and αs1-casein, but also include the antimicrobial peptide casecidin 17. These results provide new insights into the physiopathology of mastitis. Upon further validation, the panel of potential discriminant peptides could help to the development of new diagnostic and therapeutic tools.
2024-01-26 | PXD043426 | Pride
Project description:Streptococcus uberis isolate:Mastitis breast milk Genome sequencing
| PRJNA1165460 | ENA
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:Milk contains microRNAs (miRNAs) that are protected by extracellular vesicles (EV). Beyond variations among individuals, the nutritional conditions of cattle play a role in shaping these milk miRNA profiles. This study explored milk-derived EV-miRNA variations induced by inulin supplementation and analyzed involved pathways. Fourteen lactating cows with sub-clinical mastitis were equally and randomly divided into an inulin and a control group. Cows in the inulin group received 300 g/d inulin, while the control group did not. After one week of adaptation and five weeks of treatment, milk-derived EV-miRNAs from cows were isolated. Differentially expressed (DE) miRNAs were identified via high-throughput sequencing. Functional enrichment analyses, including Gene Ontology (GO) enrichment and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses, were conducted to examine the target genes of DE miRNAs. Inulin supplementation did not significantly alter miRNA length, the number of known miRNAs, or the read number of small RNAs.
2024-05-31 | GSE256521 | GEO