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Abstract
SummaryMass spectrometry is the predominant analytical tool used in the field of plant lipidomics. However, there are many challenges associated with the mass spectrometric detection and identification of lipids because of the highly complex nature of plant lipids. Studies into lipid biosynthetic pathways, gene functions in lipid metabolism, lipid changes during plant growth and development, and the holistic examination of the role of plant lipids in environmental stress responses are often hindered. Here, we leveraged a robust pipeline that we previously established to extract and analyze lipid profiles of different tissues and developmental stages from the model plant Arabidopsis thaliana. We analyzed seven tissues at several different developmental stages and identified more than 200 lipids from each tissue analyzed. The data were used to create a web‐accessible in silico lipid map that has been integrated into an electronic Fluorescent Pictograph (eFP) browser. This in silico library of Arabidopsis lipids allows the visualization and exploration of the distribution and changes of lipid levels across selected developmental stages. Furthermore, it provides information on the characteristic fragments of lipids and adducts observed in the mass spectrometer and their retention times, which can be used for lipid identification. The Arabidopsis tissue lipid map can be accessed at http://bar.utoronto.ca/efp_arabidopsis_lipid/cgi‐bin/efpWeb.cgi.
Highlights
Lipids are a group of diverse compounds with crucial roles in all living organisms, tissues and cell types (Fahy et al, 2011)
The lipids were annotated by matching experimental m/z values with a list of theoretical m/z values and by retention time alignment with lipid identifications confirmed by MS/MS spectra (Kehelpannala et al, 2020)
Our study has shown that the single-step extraction method published by Shiva et al (2018) is well suited for the untargeted analysis of Arabidopsis lipids and subsequent comparison of tissue-specific lipid profiles (Kehelpannala et al, 2020)
Summary
Mass spectrometry is the predominant analytical tool used in the field of plant lipidomics. The data were used to create a webaccessible in silico lipid map that has been integrated into an electronic Fluorescent Pictograph (eFP) browser. This in silico library of Arabidopsis lipids allows the visualization and exploration of the distribution and changes of lipid levels across selected developmental stages. It provides information on the characteristic fragments of lipids and adducts observed in the mass spectrometer and their retention times, which can be used for lipid identification.
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