Abstract
Abstract

Premise
Matrix‐assisted laser desorption/ionization mass spectrometry imaging (MALDI‐MSI) is a chemical imaging method that can visualize spatial distributions of particular molecules. Plant tissue imaging has so far mostly used cryosectioning, which can be impractical for the preparation of large‐area imaging samples, such as full flower petals. Imaging unsectioned plant tissue presents its own difficulties in extracting metabolites to the surface due to the waxy cuticle.


Methods
We address this by using established delipidation techniques combined with a solvent vapor extraction prior to applying the matrix with many low‐concentration sprays.


Results
Using this procedure, we imaged tissue from three different plant species (two flowers and one carnivorous plant leaf). Material factorization analysis of the resulting data reveals a wide range of plant‐specific small molecules with varying degrees of localization to specific portions of the tissue samples, while facilitating detection and removal of signal from background sources.


Conclusions
This work demonstrates applicability of MALDI‐MSI to press‐dried plant samples without freezing or cryosectioning, setting the stage for spatially resolved molecule identification. Increased mass resolution and inclusion of tandem mass spectrometry are necessary next steps to allow more specific and reliable compound identification.
Topics

No keywords indexed for this article. Browse by subject →

References
51
[1]
Adler D. andS. T.Kelly.2020. vioplot: violin plot. R package version 0.3.7. Website:https://github.com/TomKellyGenetics/vioplot[accessed 13 July 2023].
[2]
Alston R. E. (1955)
[6]
10.1162/jmlr.2003.3.4-5.993
Applied Physics Letters 10.1162/jmlr.2003.3.4-5.993
[18]
Ferreyra M. L. F. "Flavonoids: Biosynthesis, biological functions, and biotechnological applications" Frontiers in Plant Science (2012)
[19]
Garnier S. N.Ross R.Rudis A. P.Camargo M.Sciaini andC.Scherer.2021. viridis: Colorblind‐friendly color maps for R. R package version 0.6.2. Website:https://sjmgarnier.github.io/viridis/[accessed 13 July 2023].
[25]
Plant Secondary Metabolite Diversity and Species Interactions

André Kessler, Aino Kalske

Annual Review of Ecology, Evolution, and Systemati... 10.1146/annurev-ecolsys-110617-062406
[29]
Lee D. D. "Algorithms for non‐negative matrix factorization" Advances in Neural Information Processing Systems (2001)
[37]
Qiu Y. andJ.Mei.2022. RSpectra: Solvers for large‐scale eigenvalue and SVD problems. R package version 0.16‐1. Website:https://CRAN.R-project.org/package=RSpectra[accessed 13 July 2023].
[38]
R Core Team.2022. R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing Vienna Austria. Website:https://www.R-project.org/[accessed 13 July 2023].
[43]
Slack A. (1979)
[46]
Biosynthesis of plant pigments: anthocyanins, betalains and carotenoids

Yoshikazu Tanaka, Nobuhiro Sasaki, Akemi Ohmiya

The Plant Journal 10.1111/j.1365-313x.2008.03447.x

Showing 50 of 51 references

Metrics
2
Citations
51
References
Details
Published
Sep 01, 2023
Vol/Issue
11(5)
License
View
Cite This Article
Zane G. Long, Jonathan V. Le, Benjamin B. Katz, et al. (2023). Spatially resolved detection of small molecules from press‐dried plant tissue using MALDI imaging. Applications in Plant Sciences, 11(5). https://doi.org/10.1002/aps3.11539