A culture-, amplification-independent, and rapid method for identification of pathogens and antibiotic resistance profile in bovine mastitis milk
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ABSTRACT:
PROVIDER: PRJEB53532 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| ERR10287900.fastq.gz | Fastqsanger.gz | |||
| ERR10287899.fastq.gz | Fastqsanger.gz | |||
| ERR9847740.fastq.gz | Fastqsanger.gz | |||
| ERR9847750.fastq.gz | Fastqsanger.gz | |||
| ERR9847760.fastq.gz | Fastqsanger.gz |
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Project description:IntroductionRapid and accurate diagnosis of causative pathogens in mastitis would minimize the imprudent use of antibiotics and, therefore, reduce the spread of antimicrobial resistance. Whole genome sequencing offers a unique opportunity to study the microbial community and antimicrobial resistance (AMR) in mastitis. However, the complexity of milk samples and the presence of a high amount of host DNA in milk from infected udders often make this very challenging.MethodsHere, we tested 24 bovine milk samples (18 mastitis and six non-mastitis) using four different commercial kits (Qiagens' DNeasy® PowerFood® Microbial, Norgens' Milk Bacterial DNA Isolation, and Molzyms' MolYsis™ Plus and Complete5) in combination with filtration, low-speed centrifugation, nuclease, and 10% bile extract of male bovine (Ox bile). Isolated DNA was quantified, checked for the presence/absence of host and pathogen using PCR and sequenced using MinION nanopore sequencing. Bioinformatics analysis was performed for taxonomic classification and antimicrobial resistance gene detection.ResultsThe results showed that kits designed explicitly for bacterial DNA isolation from food and dairy matrices could not deplete/minimize host DNA. Following using MolYsis™ Complete 5 + 10% Ox bile + micrococcal nuclease combination, on average, 17% and 66.5% of reads were classified as bovine and Staphylococcus aureus reads, respectively. This combination also effectively enriched other mastitis pathogens, including Escherichia coli and Streptococcus dysgalactiae. Furthermore, using this approach, we identified important AMR genes such as Tet (A), Tet (38), fosB-Saur, and blaZ. We showed that even 40 min of the MinION run was enough for bacterial identification and detecting the first AMR gene.ConclusionWe implemented an effective method (sensitivity of 100% and specificity of 92.3%) for host DNA removal and bacterial DNA enrichment (both gram-negative and positive) directly from bovine mastitis milk. To the best of our knowledge, this is the first culture- and amplification-independent study using nanopore-based metagenomic sequencing for real-time detection of the pathogen (within 5 hours) and the AMR profile (within 5-9 hours), in mastitis milk samples. These results provide a promising and potential future on-farm adaptable approach for better clinical management of mastitis.
| S-EPMC9852903 | biostudies-literature
Project description:Analysis of gene expression changes in milk somatic cells (MSCs) that occur with Staph Aureus mastitis. We used in house microarrays to indicate the changes that occur in gene expression in the BMCs as a result of mastitis Keywords: single time point, comparison mastitis animal vs control animal
2006-12-06 | GSE6386 | GEO
Project description:Conventional prokaryotic RNA labeling method usually requires large amounts of starting materials and tends to generate high background signals. Recently, two novel methods based on amplification systems were introduced. Here, we compared three alternative strategies: direct labeling method, ployadenylation-involved oligo-dT priming amplification method and random priming amplification method (hereafter referred to as DL, PAOD and RPA method in this article) for prokaryotic RNA labeling employing the expression profiling investigation in Escherichia coli (E. coli) heat shock model.
2009-07-25 | GSE17074 | GEO
Project description:Mastitis, the inflammation of the mammary gland, is one of the most prevalent diseases in dairy farming worldwide. Unfortunately, the disease is most often present in a subclinical type with no clear symptoms. The sooner the infection is detected, the less opportunities for the disease to progress and the more treatment options remain available. Milk microRNA (miRNA) encapsulated in extracellular vesicles (EV) have been proposed as potential biomarkers of different mammary gland conditions, including subclinical mastitis. However, little is known about the robustness of EV analysis regarding sampling time-point or natural infections. In order to estimate the reliability of EV measurements in raw bovine milk, we first evaluated the changes in EV size, concentration and miRNA cargo during three consecutive days. Then, we compared milk EV differences from natural infected quarters with high somatic cell count (SCC) with their healthy adjacent quarters with low SCC and quarters from uninfected udders. We found that milk EV miRNA cargo is very stable along three days and that infected quarters do not induce relevant changes in milk EV of adjacent healthy quarters, making them suitable controls. We observed cow-individual changes in immunoregulatory miRNA in quarters with chronic subclinical mastitis, pointing towards infection-specific alterations. Finally, we proposed bta-miR-223 as a potential indicator of subclinical mastitis prognosis in raw milk.
2022-03-16 | GSE149856 | GEO
Project description:Mastitis is one of the most prevalent and economically important diseases of dairy animals. The disease is caused by ascending bacterial infection through the teat canal. Among the most common mastitis-causing bacteria are gram-negative coliforms, gram-positive streptococci and staphylococci, and mycoplasma. The most prominent cellular hallmark of acute mammary infection is a massive recruitment of blood neutrophils into the tubular and alveolar milk spaces. The complex biological processes of leukocyte recruitment, activation, adhesion, and migration in the mammary gland remain largely elusive to date. While field research of mastitis in dairy animals contributed a lot to the development of mitigation, control, and even eradication programs, little progress was made toward understanding the molecular mechanisms underlying the pathogenesis of the disease. We report here experimental mastitis model systems in lactating mice challenged with field strains of common udder pathogens in dairy cows. We used these model systems to apply recently developed multiplex gene expression technology (Nanostring nCounter), which enabled us to study the expression of over 700 immune genes. Our analysis revealed a core of 100 genes that are similarly regulated and functionally or physically interacting in E. coli, M. bovis and Strep uberis murine mastitis. Common significantly enriched gene sets include TNFɑ signaling via NFkB, Interferon gamma and alpha response, and IL6-JAK-STAT3 signaling. In addition, we show a significantly enriched expression of genes associated with neutrophil extracellular traps (NET) in glands challenged by the three pathogens. Ligand-receptor analysis revealed interactions shared by the three pathogens, including the interaction of the cytokines IL1β, IL1ɑ, and TNFɑ with their receptors, and proteins involved in immune cell recruitment such as complement C3 and ICAM1 (with CD11b), chemokines CCL3 and CCL4 (with CCR1), and CSF3 (with CSF3R). Taken together, our results show that mammary infection with E. coli, M. bovis and Strep uberis culminated in the activation of a conserved core of immune genes and pathways including NET formation.
2023-04-12 | GSE225127 | 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:Conventional prokaryotic RNA labeling method usually requires large amounts of starting materials and tends to generate high background signals. Recently, two novel methods based on amplification systems were introduced. Here, we compared three alternative strategies: direct labeling method, ployadenylation-involved oligo-dT priming amplification method and random priming amplification method (hereafter referred to as DL, PAOD and RPA method in this article) for prokaryotic RNA labeling employing the expression profiling investigation in Escherichia coli (E. coli) heat shock model. To identify an optimal RNA labeling method for prokaryotic microarray analysis, experiments were performed with starting RNA obtained from E.coli growing at control (37°C) or heat shock (43°C) condition. We employed 0.5 μg of total RNA for a single round of amplification using PAOD and RPA methods coupling to IVT to generate cDNA targets. In addition, an approach using DL method was also performed. Three types of cDNA mixtures containing Cy5-labeled (or Cy3-labeled) control DNA and Cy3-labeled (or Cy5-labeled) DNA targets were hybridized with E.coli microarrays in a dye-swap strategy. Replicate experiments were conducted from the same batch of total RNA to assess technique reproducibility of each approach.
2010-05-15 | E-GEOD-17074 | biostudies-arrayexpress
Project description:A systems-level understanding of a small but essential population of cells in development or adulthood (e.g., somatic stem cells) requires accurate quantitative monitoring of genome-wide gene expression, ideally from single cells. We report here a strategy to globally amplify mRNAs from single cells for highly quantitative high-density oligonucleotide microarray analysis that combines a small number of directional PCR cycles with subsequent linear amplification. Using this strategy, both the representation of gene expression profiles and reproducibility between individual experiments are unambiguously improved from the original method, along with high coverage and accuracy. Keywords: Method validation
2006-04-26 | GSE4308 | 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: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