Skip Navigation

How to Download

FRDR offers multiple ways to download datasets. Learn more in our documentation.

Morphometrics of Starch Granules from Sub-Saharan Plants and the Identification of Ancient Starch

Description: The assumption that taxonomy can be ascertained by starch granule shape and size has persisted unchallenged since the late nineteenth and early twentieth century biochemistry. More recent work has established that granule morphological affinity is scattered throughout phylogenetic branches, morphotype proportions vary within the genus, granules from closely related genera can differ dramatically in shape, and size variations do not reflect phylogenetic relationships. This situation is confounded by polymorphism at the species and tissue level, resulting in redundancy and multiplicity. This paper classifies morphological features of starch granules from 77 species, 31 families, and 22 orders across three African ecoregions. This is the largest starch reference collection published to date, rendering the dataset uniquely well suited to explore i) the diagnostic power of unique morphometric classifiers and their frequency, ii) morphotypes that cut across taxonomic boundaries, and iii) issues surrounding the minimum counts needed to accurately reflect granule polymorphism, variability, and identification. In a collection of 23,100 granules, taxonomic identification occurred very rarely. In the instances it did, it was at the species level, with no occurrences of a single morphotype or complement identifying all species within a family or genus. Some families cannot be uniquely identified, and morphometric types are shared despite taxonomic distance for three quarters of the taxa. However, this reference collection boasts 98 unique identifiers located in the Arecaceae, Convolvulaceae, Cyperaceae, Dioscoreaceae, Fabaceae, Musaceae, Pedaliaceae, Poaceae, and Zamiaceae. Therefore, the identification of starch granules is possible in some cases only.
Authors: Mercader, Julio; University of Calgary; ORCID iD 0000-0002-5637-7937
Abtosway, Matthew; University of Calgary
Bird, Robert; University of Calgary
Bundala, Mariam; University of Calgary
Clarke, Siobhan; University of Calgary
Favreau, Julien; University of Calgary
Inwood, Jamie; University of Calgary
Itambu, Makarius; University of Calgary
Larter, Fergus; University of Calgary
Lee, Patrick; University of Calgary
Patalano, Robert; University of Calgary
Soto, María; University of Calgary
Tucker, Laura; University of Calgary
Walde, Dale; University of Calgary
Keywords: Starch Granule Morphometry
Reference Collection
Starch Identification
Ancient Starch Research
Sub-Saharan Ethnobotany
Unique Identifiers
Field of Research: 
Biological sciences
>
Plant biology
>
Plant genetics (phytogenetics)
Publication Date: 2018-01-18
Publisher: Federated Research Data Repository / dépôt fédéré de données de recherche
Funder: Social Sciences and Humanities Research Council of Canada (SSHRC)
URI: https://doi.org/10.20383/101.017

Files in Dataset 
No files uploaded
Download entire dataset using Globus Transfer. This method requires a Globus account and installing software. Watch Video: Get Started with FRDR: Download a Dataset
Download with Globus
Files for this dataset are currently being backed up so it cannot be approved at this time. Please try later.

Access to this dataset is subject to the following terms:
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 (CC BY-NC-SA 4.0) https://creativecommons.org/licenses/by-nc-sa/4.0/
Citation
Mercader, J., Abtosway, M., Bird, R., Bundala, M., Clarke, S., Favreau, J., Inwood, J., Itambu, M., Larter, F., Lee, P., Patalano, R., Soto, M., Tucker, L., Walde, D. (2018). Morphometrics of Starch Granules from Sub-Saharan Plants and the Identification of Ancient Starch. Federated Research Data Repository. https://doi.org/10.20383/101.017