Dataset
Metabolomic Identification of Up-/Down-Regulated Arabidopsis Plant Endogenous Compounds following Hydroponic Exposure to Benzotriazole and Benzoisothiazolinone
University of Iowa
10/14/2026
DOI: 10.25820/data.008202
Abstract
This data set contains .mzML files (acquired through high resolution mass spectrometry analysis and converted from MS .raw file to .mzML using mzmine 4.8.0) used to study metabolomic identification of up-/down- regulated Arabidopsis plant endogenous compounds following hydroponic exposure to Benzotriazole and Benzoisothiazolinone. Arabidopsis seedlings were grown hydroponically in sterile Murashige and Skoog Basal (MS) medium for 11 days in autoclaved Magenta boxes. After 11 days of growth period, the plants were gown in either benzotriazole (BT) or benzoisothiazolinone (BIT) spiked growth medium at two exposure doses:200µg/L and 2 mg/L, for 48h.In parallel no-exposure control plants were grown in unspiked sterile growth medium. Plant tissues were harvested (48h), freeze-dried, and extracted using 50:50 DI: methanol solvent following our lab’s established methods. The plant tissue extract samples were analyzed using a Thermo Q-Exactive Orbitrap High Resolution Mass Spectrometer (HRMS) and raw data files obtained from the run are provided in this data deposit. The .mzML data file in this deposit will support reuse of the files for postprocessing of the data by any software including non-proprietary software by anyone to conduct their own metabolomic identification of plant endogenous compound study or any future plant metabolomic transformation study for emerging contaminants like benzotriazole (BT) or benzoisothiazolinone (BIT).
Details
- Title: Subtitle
- Metabolomic Identification of Up-/Down-Regulated Arabidopsis Plant Endogenous Compounds following Hydroponic Exposure to Benzotriazole and Benzoisothiazolinone
- Creators
- Sraboni Chowdhury - University of IowaGregory H LeFevre - University of Iowa, Civil and Environmental Engineering
- Contributors
- Brian Westra (Contributor) - University of Iowa, Humanities and Social Sciences/Scholarly Impact
- Resource Type
- Dataset
- DOI
- 10.25820/data.008202
- Publisher
- University of Iowa
- Grants
- USDA NIFA Plant Uptake, 2021-67019-33680, National Institute of Food and Agriculture (United States, Washington) - NIFA
- Grant note
- S.C. was additionally supported by the University of Iowa Graduate College Ballard and Seashpre Dissertation Fellowship, Post-Comprehensive Fellowship, and the University of Iowa Neil B. Fisher Environmental Engineering Fellowship. G.H.L. acknowledges the support of the Environmental Health Sciences Research Center (P30ES005605) for providing a collaborative research environment. The authors thank Lynn Teesch and Vic Parcell of the University of Iowa High Resolution Mass Spectrometry Facility.
- Language
- English
- Date collected
- 07/18/2025
- Date published
- 10/14/2026
- Academic Unit
- Civil and Environmental Engineering; Humanities and Social Sciences/Scholarly Impact
- Record Identifier
- 9985142552602771
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