Beer Plant waste water
Ontology highlight
ABSTRACT:
REPOSITORIES: ENA
Similar Datasets
Project description:Metagenomic Characterisation of Opaque Beer Industry Wastewater
| PRJEB7844 | ENA
Project description:In this study the impact of protein fractionation techniques prior to LC/MS analysis was investigated on activated sludge samples derived at winter and summer condition from a full-scale wastewater treatment plant (WWTP). For reduction of the sample complexity, different fractionation techniques including RP-LC (1D-approach), SDS-PAGE and RP-LC (2D-approach) as well as RP-LC, SDS-PAGE and liquid IEF (3D-approach) were carried out before subsequent ITMS analysis. The derived spectra were identified by MASCOT search using a combination of the public UniProtKB/Swiss-Prot protein database and metagenome data from a WWTP (data are available via ProteomeXchange with identifier PXD001547). The results showed a significant increase of identified spectra, enabled by applying IEF and SDS-PAGE to the proteomic workflow. Based on meta-proteins, a core metaproteome and the corresponding taxonomic profile of the wastewater activated sludge was revealed and functional aspects using the KEGG (Kyoto Encyclopedia of Genes and Genomes) pathway library were analyzed. Hereby, the KEGG Orthology identifiers (KO numbers) of protein hits were plotted into pathway maps of the central carbon (map01200) and nitrogen metabolism (map00910). Using the 3D-approach, most proteins involved in glycolysis and citrate cycle and nearly all proteins of the nitrogen removal were identified, qualifying this approach as the most promising for future studies.
2015-07-28 | PXD001547 | Pride
Project description:A prototype oligonucleotide microarray was designed to detect and identify viable bacterial species with the potential to grow of common beer spoilage microorganisms from the genera Lactobacillus, Megasphaera, Pediococcus and Pectinatus. Probes targeted the intergenic spacer regions (ISR) between 16S and 23S rRNA, which were amplified in a combination of reverse transcriptase (RT) and polymerase chain reaction (PCR) prior to hybridization. This method allows the detection and discrimination of single bacterial species in a complex sample. Furthermore, microarrays using oligonucleotide probes targeting the ISR allow the distinction between viable bacteria with the potential to grow and non-growing bacteria. The results demonstrate the feasibility of oligonucleotide microarrays as a contamination control in food industry for the detection and identification of spoilage microorganisms within mixed population. Keywords: microarray, oligonucleotide, species-specific, detection, beer spoilage bacteria
2007-05-23 | GSE7840 | GEO
Project description:The dynamics of the Saccharomyces carlsbergensis brewing yeast transcriptome during a production scale lager beer fermentation. The transcriptome of a lager brewing yeast (Saccharomyces carlsbergensis, syn. of S. pastorianus), was analysed at 12 different time points spanning a production-scale lager beer fermentation. Generally, the average expression rapidly increased and had a maximum value on day 2, then decreased as the sugar got consumed. Especially genes involved in protein and lipid biosynthesis or glycolysis were highly expressed during the beginning of the fermentation. Similarities as well as significant differences in expression profiles could be observed when comparing to a previous transcriptome analysis of a laboratory yeast grown in YPD. The regional distribution of various expression levels on the chromosomes appeared to be random or near-random and no reduction in expression near telomeres was observed. Keywords: time-course
2002-09-09 | GSE79 | GEO
Project description:Temporal shotgun metagenomic dissection of the lambic beer fermentation ecosystem
| PRJEB28363 | ENA
Project description:Host range of antibiotic resistance genes in wastewater treatment plant influent and effluent
| PRJEB23695 | ENA
Project description:The dynamics of the Saccharomyces carlsbergensis brewing yeast transcriptome during a production scale lager beer fermentation. The transcriptome of a lager brewing yeast (Saccharomyces carlsbergensis, syn. of S. pastorianus), was analysed at 12 different time points spanning a production-scale lager beer fermentation. Generally, the average expression rapidly increased and had a maximum value on day 2, then decreased as the sugar got consumed. Especially genes involved in protein and lipid biosynthesis or glycolysis were highly expressed during the beginning of the fermentation. Similarities as well as significant differences in expression profiles could be observed when comparing to a previous transcriptome analysis of a laboratory yeast grown in YPD. The regional distribution of various expression levels on the chromosomes appeared to be random or near-random and no reduction in expression near telomeres was observed.
2010-05-27 | E-GEOD-79 | biostudies-arrayexpress
Project description:Identification and Quantification of proteins and glycoproteins in beer measured by DDA and SWATH-MS.
2021-08-06 | PXD023116 | Pride
Project description:The brewing industry is highly competitive, driving the importance of beer stability. Brewers use both aluminum cans and glass bottles to distribute product, however a direct comparison of the impact of these two package types on beer stability has yet to be conducted. Here, a non-targeted metabolomics approach was used to characterize changes in the metabolite profile of an amber ale (AA) and India pale ale (IPA) packaged in cans and bottles over a six-month aging. A strong correlation by package type was observed for AA but not for IPA over all time points. Baseline differences in amino acids (glycine, tyrosine, asparagine) and esters (isobutyl isobutyrate, 2-methylbutyl butyrate, ethyl decanoate) were also observed in AA. Hop terpenes (humulene, pinocarvone, alpha-calacorene) demonstrated package-dependent changes over time which appear to be influenced by metabolite water solubility. Overall, the results demonstrate that beer metabolites, and thus stability, are significantly impacted by package type.
| MSV000090380 | MassIVE
Project description:Identification and relative quantification of proteins present in the mash and boil (soluble fraction) of the beer brewing process measured by SWATH-MS.
2018-06-19 | PXD010013 | Pride