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dcterms:title "Features detected by untargeted metabolomic analysis of paired cultures of four strains of Streptomyces bacteria isolated from a nature reserve in Minnesota, USA" ;
dcterms:identifier <https://catalogue.ceh.ac.uk/id/4921f306-5efa-4bf7-a15e-a157c2665889> ;
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dcterms:bibliographicCitation "Connolly, J.A., Del Carratore, F., Schmidt, K., Bisesi, A., Martinson, J.N.V., Chua, J., Kuhs, M., Boneza, M., Heinsch, S., Kinkel, L., Smanski, M., Harcombe, W.R., Breitling, R., Takano, E. (2024). Features detected by untargeted metabolomic analysis of paired cultures of four strains of Streptomyces bacteria isolated from a nature reserve in Minnesota, USA. NERC EDS Environmental Information Data Centre. https://doi.org/10.5285/4921f306-5efa-4bf7-a15e-a157c2665889" ;
dcterms:description "This dataset contains features detected by untargeted metabolomics analysis of paired cultures of 4 interacting Streptomyces bacteria. The bacteria were originally isolated from a nature reserve in Minnesota USA. Daily samples of spot cultures grown in adjacent pairs on solid ISP2 medium were taken from day 2 to 6 in triplicate. Metabolites were obtained by cold methanol extraction, and liquid chromatography-mass spectrometry data was collected in both positive and negative ionisation modes. This dataset contains the mass-to-charge (m/z) and retention time of identified peaks, and their ion intensity in each sample. The relative abundance of these identified features was later compared between pairs of interacting strains to gain insight into changes in their metabolism. This work was funded by NERC (NE/T010959/1) and National Science Foundation (USA, 1935458)." ;
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rdfs:label "The 4 Streptomyces strains were previously isolated from Minnesota soil as described in Schlatter, D.C. et al (2013), co-culturing, metabolite extraction and LC-MS experiments were performed in the Manchester Institute of Biotechnology, University of Manchester, UK. Data was collected on a Q-Exactive Mass Spectrometer (ThermoFisher). Outputs were converted to mzML format by the ProteoWizard MS converter. Noise removal, signal filtering and peak matching was performed in the open source mzMatch software. Pooled quality control samples were analysed at every 6th injection to assess for analytical drift over time. The sample injection sequence was randomised."
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