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2021-08-05Subject
570 Life sciences; biology PilzsporeMorphometriePilzeHauptkomponentenanalyseSystematikHarmonische AnalyseGeometrieAlignment <Biochemie>xmlui.dri2xhtml.METS-1.0.item-supplement
doi:10.1371/journal.pone.0250477.s001doi:10.1371/journal.pone.0250477.s002Metadata
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Aufsatz
Geometric morphometric analysis of spore shapes improves identification of fungi
Abstract
Morphology of organisms is an essential source of evidence for taxonomic decisions and understanding of ecology and evolutionary history. The geometric structure (i.e., numeric description of shape) provides richer and mathematically different information about an organism’s morphology than linear measurements. A little is known on how these two sources of morphological information (shape vs. size) contribute to the identification of organisms when implied simultaneously. This study hypothesized that combining geometric information on the outline with linear measurements results in better species identification than either evidence alone can provide. As a test system for our research, we used the microscopic spores of fungi from the genus Subulicystidium (Agaricomycetes, Basidiomycota). We analyzed 2D spore shape data via elliptic Fourier and principal component analyses. Using flexible discriminant analysis, we achieved the highest species identification success rate for a combination of shape and size descriptors (64.7%). The shape descriptors alone predicted species slightly better than size descriptors (61.5% vs. 59.1%). We conclude that adding geometric information on the outline to linear measurements improves the identification of the organisms. Despite the high relevance of spore traits for the taxonomy of fungi, they were previously rarely analyzed with the tools of geometric morphometrics. Therefore, we supplement our study with an open access protocol for digitizing and summarizing fungal spores’ shape and size information. We propagate a broader use of geometric morphometric analysis for microscopic propagules of fungi and other organisms.
Citation
In: PLOS ONE 16 / 8 (2021-08-05) eissn:1932-6203Sponsorship
Gefördert durch den Publikationsfonds der Universität KasselCitation
@article{doi:10.17170/kobra-202110114875,
author={Ordynets, Alexander and Keßler, Sarah and Langer, Ewald},
title={Geometric morphometric analysis of spore shapes improves identification of fungi},
journal={PLOS ONE},
year={2021}
}
0500 Oax 0501 Text $btxt$2rdacontent 0502 Computermedien $bc$2rdacarrier 1100 2021$n2021 1500 1/eng 2050 ##0##http://hdl.handle.net/123456789/13310 3000 Ordynets, Alexander 3010 Keßler, Sarah 3010 Langer, Ewald 4000 Geometric morphometric analysis of spore shapes improves identification of fungi / Ordynets, Alexander 4030 4060 Online-Ressource 4085 ##0##=u http://nbn-resolving.de/http://hdl.handle.net/123456789/13310=x R 4204 \$dAufsatz 4170 5550 {{Pilzspore}} 5550 {{Morphometrie}} 5550 {{Pilze}} 5550 {{Hauptkomponentenanalyse}} 5550 {{Systematik}} 5550 {{Harmonische Analyse}} 5550 {{Geometrie}} 5550 {{Alignment <Biochemie>}} 7136 ##0##http://hdl.handle.net/123456789/13310
2021-10-20T13:03:25Z 2021-10-20T13:03:25Z 2021-08-05 doi:10.17170/kobra-202110114875 http://hdl.handle.net/123456789/13310 Gefördert durch den Publikationsfonds der Universität Kassel eng Namensnennung 4.0 International http://creativecommons.org/licenses/by/4.0/ fungal spores morphometry fungi principal component analysis taxonomy fourier analysis geometry sequence alignment 570 Geometric morphometric analysis of spore shapes improves identification of fungi Aufsatz Morphology of organisms is an essential source of evidence for taxonomic decisions and understanding of ecology and evolutionary history. The geometric structure (i.e., numeric description of shape) provides richer and mathematically different information about an organism’s morphology than linear measurements. A little is known on how these two sources of morphological information (shape vs. size) contribute to the identification of organisms when implied simultaneously. This study hypothesized that combining geometric information on the outline with linear measurements results in better species identification than either evidence alone can provide. As a test system for our research, we used the microscopic spores of fungi from the genus Subulicystidium (Agaricomycetes, Basidiomycota). We analyzed 2D spore shape data via elliptic Fourier and principal component analyses. Using flexible discriminant analysis, we achieved the highest species identification success rate for a combination of shape and size descriptors (64.7%). The shape descriptors alone predicted species slightly better than size descriptors (61.5% vs. 59.1%). We conclude that adding geometric information on the outline to linear measurements improves the identification of the organisms. Despite the high relevance of spore traits for the taxonomy of fungi, they were previously rarely analyzed with the tools of geometric morphometrics. Therefore, we supplement our study with an open access protocol for digitizing and summarizing fungal spores’ shape and size information. We propagate a broader use of geometric morphometric analysis for microscopic propagules of fungi and other organisms. open access Ordynets, Alexander Keßler, Sarah Langer, Ewald doi:10.1371/journal.pone.0250477 doi:10.1371/journal.pone.0250477.s001 doi:10.1371/journal.pone.0250477.s002 Pilzspore Morphometrie Pilze Hauptkomponentenanalyse Systematik Harmonische Analyse Geometrie Alignment <Biochemie> publishedVersion eissn:1932-6203 8 PLOS ONE 16 false e0250477
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