4921f306-5efa-4bf7-a15e-a157c2665889 English ISO/IEC 8859-1 (also known as Latin 1) nonGeographicDataset nonGeographicDataset NERC EDS Environmental Information Data Centre Lancaster Environment Centre, Library Avenue, Bailrigg Lancaster LA1 4AP UK info@eidc.ac.uk https://eidc.ac.uk/ EIDC website The Environmental Information Data Centre (EIDC) is the UK's national data centre for terrestrial and freshwater sciences. information pointOfContact 2025-11-13T16:27:11 UK GEMINI 2.3 Features detected by untargeted metabolomic analysis of paired cultures of four strains of Streptomyces bacteria isolated from a nature reserve in Minnesota, USA 2024-11-21 publication 2024-10-21 creation https://catalogue.ceh.ac.uk/id/4921f306-5efa-4bf7-a15e-a157c2665889 10.5285/4921f306-5efa-4bf7-a15e-a157c2665889 doi: 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 10.5285/4921f306-5efa-4bf7-a15e-a157c2665889 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). Full details about this nonGeographicDataset can be found at https://doi.org/10.5285/4921f306-5efa-4bf7-a15e-a157c2665889 Connolly, J.A. University of Manchester jack.connolly@manchester.ac.uk https://orcid.org/0000-0003-3643-5578 ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information author Connolly, J.A. University of Manchester jack.connolly@manchester.ac.uk https://orcid.org/0000-0003-3643-5578 ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information pointOfContact Del Carratore, F. University of Manchester francesco.del-carratore@liverpool.ac.uk https://orcid.org/0000-0003-1647-7818 ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information author Schmidt, K. University of Manchester kamila.schmidt@manchester.ac.uk author Bisesi, A. University of Minnesota bises004@umn.edu author Martinson, J.N.V. University of Minnesota jonmartinson1@gmail.com author Chua, J. University of Manchester jeremy.chua@manchester.ac.uk author Kuhs, M. University of Minnesota kuhsx003@umn.edu author Boneza, M. University of Minnesota bonez001@umn.edu author Heinsch, S. University of Minnesota heins049@umn.edu author Kinkel, L. University of Minnesota kinkel@umn.edu https://orcid.org/0000-0002-5331-5589 ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information author Smanski, M. University of Minnesota smanski@umn.edu author Harcombe, W.R. University of Minnesota harcombe@umn.edu author Breitling, R. University of Manchester rainer.breitling@manchester.ac.uk https://orcid.org/0000-0001-7173-0922 ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information author Takano, E. University of Manchester eriko.takano@manchester.ac.uk https://orcid.org/0000-0002-6791-3256 ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information author NERC EDS Environmental Information Data Centre info@eidc.ac.uk custodian NERC EDS Environmental Information Data Centre info@eidc.ac.uk publisher University of Manchester EMAIL NOT PROVIDED owner Biodiversity bacteria microbiology Minnesota co-culture microbiome Streptomyces mass spectrometry Actinomycetes metabolomics untargeted otherRestrictions no limitations otherRestrictions This resource is available under the terms of the Open Government Licence otherRestrictions If you reuse this data, you should cite: 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 English utf8 biota environment Comma-separated values (CSV) NERC EDS Environmental Information Data Centre info@eidc.ac.uk distributor https://data-package.ceh.ac.uk/data/4921f306-5efa-4bf7-a15e-a157c2665889 Download the data Download a copy of this data download https://data-package.ceh.ac.uk/sd/4921f306-5efa-4bf7-a15e-a157c2665889.zip Supporting information Supporting information available to assist in re-use of this dataset information nonGeographicDataset nonGeographicDataset Commission Regulation (EU) No 1089/2010 of 23 November 2010 implementing Directive 2007/2/EC of the European Parliament and of the Council as regards interoperability of spatial data sets and services 2010-12-08 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.