Ms FAIDRA KATSI FAIDRA.KATSI1@NOTTINGHAM.AC.UK
Leverhulme Research Fellow
FTIR spectra from grass pollen: A quest for species-level resolution of Poaceae and Cerealia-type pollen grains
Katsi, F.; Kent, M. S.; Jones, M.; Fraser, W. T.; Jardine, P. E.; Eastwood, W.; Mariani, M.; Osborne, C.; Edwards, S.; Lomax, B. H.
Authors
Dr MATTHEW KENT Matthew.Kent@nottingham.ac.uk
RESEARCH FELLOW
Professor MATTHEW JONES MATTHEW.JONES@NOTTINGHAM.AC.UK
PROFESSOR OF QUATERNARY SCIENCE
W. T. Fraser
P. E. Jardine
W. Eastwood
Dr MICHELA MARIANI MICHELA.MARIANI@NOTTINGHAM.AC.UK
ASSOCIATE PROFESSOR
C. Osborne
Dr STELLA EDWARDS stella.edwards@nottingham.ac.uk
ASSISTANT PROFESSOR
B. H. Lomax
Abstract
Palynological analysis based on spore and pollen morphology is well established in the field of palaeo-environmental reconstruction but is currently not fully exploited for understanding the history and development of cereal cultivation due to difficulties in visually differentiating between grass species (Poaceae). Here we employ a chemotaxonomic approach, by examining the chemical differences among Poaceae taxa, based on Fourier-transform infrared (FTIR) microspectroscopy data to overcome problems associated with morphological similarities across the Poaceae family. FTIR spectra of untreated and acetolysed pollen from 19 Poaceae taxa were used in our study. We used both populations and individual pollen grains to explore how we can minimise the effect of Mie scattering (spectral distortions caused by scattering of the incident IR beam) on spectra from individuals. Random forest classification algorithms were applied to explore our ability to differentiate taxa at the species level. We found that pollen grains treated with acetolysis yield better classification results (86% for individuals and 97% for populations) compared to untreated samples (65.7% for individuals and 83% for populations), since they are less affected by Mie scattering. The high classification success at species level on acetolysed individual pollen grains suggests that our chemotaxonomic method holds substantial promise in numerous areas of grass and in particular cereal pollen research, including elucidating the history of agriculture.
Citation
Katsi, F., Kent, M. S., Jones, M., Fraser, W. T., Jardine, P. E., Eastwood, W., Mariani, M., Osborne, C., Edwards, S., & Lomax, B. H. (2024). FTIR spectra from grass pollen: A quest for species-level resolution of Poaceae and Cerealia-type pollen grains. Review of Palaeobotany and Palynology, 321, Article 105039. https://doi.org/10.1016/j.revpalbo.2023.105039
Journal Article Type | Article |
---|---|
Acceptance Date | Dec 1, 2024 |
Online Publication Date | Dec 20, 2023 |
Publication Date | 2024-02 |
Deposit Date | Jan 19, 2024 |
Publicly Available Date | Dec 21, 2024 |
Journal | Review of Palaeobotany and Palynology |
Print ISSN | 0034-6667 |
Publisher | Elsevier |
Peer Reviewed | Peer Reviewed |
Volume | 321 |
Article Number | 105039 |
DOI | https://doi.org/10.1016/j.revpalbo.2023.105039 |
Keywords | Paleontology; Ecology, Evolution, Behavior and Systematics |
Public URL | https://nottingham-repository.worktribe.com/output/29273287 |
Publisher URL | https://www.sciencedirect.com/science/article/abs/pii/S0034666723002087?via%3Dihub |
Files
Katsi Et Al. (2023)- Final Version After Review
(2.9 Mb)
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