This SWD_HATCH1_readme.txt file was generated on 2019-12-10 by Robert A. Raguso ------------------- GENERAL INFORMATION ------------------- Title of Dataset: DATA FROM: RESPONSE OF WILD SPOTTED WING DROSOPHILA (DROSOPHILA SUZUKII) TO MICROBIAL VOLATILES Author Information (Robert A. Raguso, Department of Neurobiology and Behavior, Cornell University, Ithaca NY 14853 USA, rar229@cornell.edu) Principal Investigator: Robert A. Raguso Associate or Co-investigator: Gregory M. Loeb, Angela E. Douglas Alternate Contact(s): aes326@cornell.edu Date of data collection: 2018-01-25 to 2018-03-29 Geographic location of data collection: Ithaca, Tompkins County, New York, USA Information about funding sources or sponsorship that supported the collection of the data: NY State Hatch grant in conjunction with US Department of Agriculture, National Institute of Food and Agriculture (NIFA) grant NYC-191404 -------------------------- SHARING/ACCESS INFORMATION -------------------------- Licenses/restrictions placed on the data, or limitations of reuse: This dataset is shared under a Creative Commons 1.0 Universal Public Domain Dedication (https://creativecommons.org/publicdomain/zero/1.0/). The material can be copied, modified and uses without permission, but attribution to the original authors is always appreciated. Recommended citation for the data: Eduardo Bueno, Kyle R. Martin, Robert A. Raguso, John G. McMullen II, Stephen P. Hesler, Greg M. Loeb, Angela E. Douglas. (2019) Data from: Response of Wild Spotted Wing Drosophila (Drosophil suzukii) to Microbial Volatiles. [Dataset]. Cornell University Library's eCommons Repository. https://doi.org/10.7298/4dqz-0k28 Citation for and links to publications that cite or use the data: Eduardo Bueno, Kyle R. Martin, Robert A. Raguso, John G. McMullen II, Stephen P. Hesler, Greg M. Loeb, Angela E. Douglas. 2019. Response of Wild Spotted Wing Drosophila (Drosophila suzukii) to microbial volatiles. Journal of Chemical Ecology. https://doi.org/10.1007/s10886-019-01139-4 Links to other publicly accessible locations of the data: N/A Links/relationships to ancillary or related data sets: N/A -------------------- DATA & FILE OVERVIEW -------------------- File list (filenames, directory structure (for zipped files) and brief description of all data files): SWD_Hatch1 is a microsoft excel document containing volatile organic chemical (VOC) data for six different microbial accessions associated with Drosophila suzukii and its fruit hosts Relationship between files, if important for context: N/A Additional related data collected that was not included in the current data package: There are additional chromatographic data collected from Scentry lures for the purpose of discussion but are not included in multivariate statistical analyses with the microbial VOC data, and thus are not included here. If data was derived from another source, list source: N/A If there are there multiple versions of the dataset, list the file updated, when and why update was made: N/A -------------------------- METHODOLOGICAL INFORMATION -------------------------- Description of methods used for collection/generation of data: Methods are described at length in the associated manuscript (Bueno et al. https://doi.org/10.1007/s10886-019-01139-4), as well as in a related earlier manuscript: Arguello, J. R., Sellanes, C., Lou, Y. R., & Raguso, R. A. (2013). Can yeast (S. cerevisiae) metabolic volatiles provide polymorphic signaling?. PloS one, 8(8), e70219. Volatiles were desorbed from 5 mgTenax traps using ballistic heating (from 40 to 200oC at 20oC/sec), through the Optic 3 external flow control system and desorbed volatiles were loaded onto a polar GC column (Stabilwax-MS [polyethylene glycol], 30 m, 0.25 mm ID, 0.25 um film thickness; Restek, Inc., Bellefonte, PA) using ultra-pure helium gas (Airgas, Inc.; 99.99% pure) as a mobile phase during a 30 sec splitless injection, thereafter maintaining a constant column flow of 1 ml/min at a 20:1 split ratio. The GC oven temperature program increased from 40C (3 min. hold) at 10C/min. until reaching 240C, held for 5 min. The GC was coupled to an electron-impact quadrupole MS (70 eV; 3 scans/sec. from m/z 40–350 daltons; threshold: 500). Authentic n-alkane standards (C9-C30) were injected under the same chromatographic conditions to convert volatile retention times to Kovats retention indices (KI). GC separation of volatile samples was visualized as a Total Ion Current (TIC) chromatogram for each injected sample, in which well-defined peaks were hand-integrated using GC-MS Solutions 1.2a software (Shimadzu Scientific Instruments, Inc.) Methods for processing the data: The data represent unitless Total Ion Chromatogram (TIC) peak area counts, hand integrated using Shimadzu GC-MS Solutions 1.2a software Software- or Instrument-specific information needed to interpret the data, including software and hardware version numbers: see above Standards and calibration information, if appropriate: Volatiles were identified to three levels of confidence: 1) confirmation of retention time and mass spectrum using authentic standard compounds, 2) mass spectrum and Kovats Retention Index consistent with published values for these chromatographic conditions as cited by the United States National Institute of Standards and Technology (NIST) webbook: https://webbook.nist.gov/, and 3) unknowns, for which the 10 most abundant mass spectral ion fragments are listed in descending order of abundance, beginning with the base peak (100%). Environmental/experimental conditions: Described in methods above Describe any quality-assurance procedures performed on the data: Chromatographic data from cultured microbial replicates were compared with negative controls (culture medium plates) and any compound that was not at least 3-fold larger in peak area than a corresponding peak in the control was omitted from further analysis as a likely artifact People involved with sample collection, processing, analysis and/or submission: Eduardo Bueno and John McMullen II prepared the cultures and set up the headspace collections, Kyle Martin collected the headspace samples and ran the injections on GC-MS, Robert Raguso analyzed the TIC peak area data and identifications -------------------------- DATA-SPECIFIC INFORMATION -------------------------- Number of variables: The Microsoft (Office 2019) Excel file contails six separate worksheets, each one corresponding to a specific microbial species. Columns represent (five) replicates for each taxon, shown twice (once for raw TIC peak areas, once for relative % of summed peak areas), along with mean and standard error of the mean for each form of data presentation, and a "Verified" column, indicating "1" if the peak has been verified with authentic standard (no need to compare with published KI), or "0" if KI falls within range of published values (https://webbook.nist.gov/). There are also separate csv files for each species (worksheet) available as part of the dataset (data are identical to those in the Excel spreadsheet) Number of cases/rows: a total of 80 volatile compounds is presented on each sheet, a subset of which are present in the different microbial isolates. Variable list, defining any abbreviations, units of measure, codes or symbols used: Ret. time, min = retention time for each peak on the GC column, in minutes. TIC ([Species Genus] X) = Total Ion Chromatogram (TIC) Peak Areas for each replicate m/z = mass per unit charge, in daltons (atomic mass units); mass spectra provided for unidentified compounds, base peak = 100% Missing data codes: Cells with no data are left blank Specialized formats or other abbreviations used: GC = gas chromatography MS = mass spectroscopy TIC = total ion chromatogram