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Composite modeling of leaf shape along shoots discriminates Vitis species better than individual leaves
PREMISE: Leaf morphology is dynamic, continuously deforming during leaf expansion and among leaves within a shoot. Here, we measured the leaf morphology of more than 200 grapevines (Vitis spp.) over four years and modeled changes in leaf shape along the shoot to determine whether a composite leaf sh...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7742203/ https://www.ncbi.nlm.nih.gov/pubmed/33344095 http://dx.doi.org/10.1002/aps3.11404 |
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author | Bryson, Abigail E. Wilson Brown, Maya Mullins, Joey Dong, Wei Bahmani, Keivan Bornowski, Nolan Chiu, Christina Engelgau, Philip Gettings, Bethany Gomezcano, Fabio Gregory, Luke M. Haber, Anna C. Hoh, Donghee Jennings, Emily E. Ji, Zhongjie Kaur, Prabhjot Kenchanmane Raju, Sunil K. Long, Yunfei Lotreck, Serena G. Mathieu, Davis T. Ranaweera, Thilanka Ritter, Eleanore J. Sadohara, Rie Shrote, Robert Z. Smith, Kaila E. Teresi, Scott J. Venegas, Julian Wang, Hao Wilson, McKena L. Tarrant, Alyssa R. Frank, Margaret H. Migicovsky, Zoë Kumar, Jyothi VanBuren, Robert Londo, Jason P. Chitwood, Daniel H. |
author_facet | Bryson, Abigail E. Wilson Brown, Maya Mullins, Joey Dong, Wei Bahmani, Keivan Bornowski, Nolan Chiu, Christina Engelgau, Philip Gettings, Bethany Gomezcano, Fabio Gregory, Luke M. Haber, Anna C. Hoh, Donghee Jennings, Emily E. Ji, Zhongjie Kaur, Prabhjot Kenchanmane Raju, Sunil K. Long, Yunfei Lotreck, Serena G. Mathieu, Davis T. Ranaweera, Thilanka Ritter, Eleanore J. Sadohara, Rie Shrote, Robert Z. Smith, Kaila E. Teresi, Scott J. Venegas, Julian Wang, Hao Wilson, McKena L. Tarrant, Alyssa R. Frank, Margaret H. Migicovsky, Zoë Kumar, Jyothi VanBuren, Robert Londo, Jason P. Chitwood, Daniel H. |
author_sort | Bryson, Abigail E. |
collection | PubMed |
description | PREMISE: Leaf morphology is dynamic, continuously deforming during leaf expansion and among leaves within a shoot. Here, we measured the leaf morphology of more than 200 grapevines (Vitis spp.) over four years and modeled changes in leaf shape along the shoot to determine whether a composite leaf shape comprising all the leaves from a single shoot can better capture the variation and predict species identity compared with individual leaves. METHODS: Using homologous universal landmarks found in grapevine leaves, we modeled various morphological features as polynomial functions of leaf nodes. The resulting functions were used to reconstruct modeled leaf shapes across the shoots, generating composite leaves that comprehensively capture the spectrum of leaf morphologies present. RESULTS: We found that composite leaves are better predictors of species identity than individual leaves from the same plant. We were able to use composite leaves to predict the species identity of previously unassigned grapevines, which were verified with genotyping. DISCUSSION: Observations of individual leaf shape fail to capture the true diversity between species. Composite leaf shape—an assemblage of modeled leaf snapshots across the shoot—is a better representation of the dynamic and essential shapes of leaves, in addition to serving as a better predictor of species identity than individual leaves. |
format | Online Article Text |
id | pubmed-7742203 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-77422032020-12-18 Composite modeling of leaf shape along shoots discriminates Vitis species better than individual leaves Bryson, Abigail E. Wilson Brown, Maya Mullins, Joey Dong, Wei Bahmani, Keivan Bornowski, Nolan Chiu, Christina Engelgau, Philip Gettings, Bethany Gomezcano, Fabio Gregory, Luke M. Haber, Anna C. Hoh, Donghee Jennings, Emily E. Ji, Zhongjie Kaur, Prabhjot Kenchanmane Raju, Sunil K. Long, Yunfei Lotreck, Serena G. Mathieu, Davis T. Ranaweera, Thilanka Ritter, Eleanore J. Sadohara, Rie Shrote, Robert Z. Smith, Kaila E. Teresi, Scott J. Venegas, Julian Wang, Hao Wilson, McKena L. Tarrant, Alyssa R. Frank, Margaret H. Migicovsky, Zoë Kumar, Jyothi VanBuren, Robert Londo, Jason P. Chitwood, Daniel H. Appl Plant Sci Application Article PREMISE: Leaf morphology is dynamic, continuously deforming during leaf expansion and among leaves within a shoot. Here, we measured the leaf morphology of more than 200 grapevines (Vitis spp.) over four years and modeled changes in leaf shape along the shoot to determine whether a composite leaf shape comprising all the leaves from a single shoot can better capture the variation and predict species identity compared with individual leaves. METHODS: Using homologous universal landmarks found in grapevine leaves, we modeled various morphological features as polynomial functions of leaf nodes. The resulting functions were used to reconstruct modeled leaf shapes across the shoots, generating composite leaves that comprehensively capture the spectrum of leaf morphologies present. RESULTS: We found that composite leaves are better predictors of species identity than individual leaves from the same plant. We were able to use composite leaves to predict the species identity of previously unassigned grapevines, which were verified with genotyping. DISCUSSION: Observations of individual leaf shape fail to capture the true diversity between species. Composite leaf shape—an assemblage of modeled leaf snapshots across the shoot—is a better representation of the dynamic and essential shapes of leaves, in addition to serving as a better predictor of species identity than individual leaves. John Wiley and Sons Inc. 2020-12-03 /pmc/articles/PMC7742203/ /pubmed/33344095 http://dx.doi.org/10.1002/aps3.11404 Text en © 2020 Bryson et al. Applications in Plant Sciences published by Wiley Periodicals LLC on behalf of Botanical Society of America This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes. |
spellingShingle | Application Article Bryson, Abigail E. Wilson Brown, Maya Mullins, Joey Dong, Wei Bahmani, Keivan Bornowski, Nolan Chiu, Christina Engelgau, Philip Gettings, Bethany Gomezcano, Fabio Gregory, Luke M. Haber, Anna C. Hoh, Donghee Jennings, Emily E. Ji, Zhongjie Kaur, Prabhjot Kenchanmane Raju, Sunil K. Long, Yunfei Lotreck, Serena G. Mathieu, Davis T. Ranaweera, Thilanka Ritter, Eleanore J. Sadohara, Rie Shrote, Robert Z. Smith, Kaila E. Teresi, Scott J. Venegas, Julian Wang, Hao Wilson, McKena L. Tarrant, Alyssa R. Frank, Margaret H. Migicovsky, Zoë Kumar, Jyothi VanBuren, Robert Londo, Jason P. Chitwood, Daniel H. Composite modeling of leaf shape along shoots discriminates Vitis species better than individual leaves |
title | Composite modeling of leaf shape along shoots discriminates Vitis species better than individual leaves |
title_full | Composite modeling of leaf shape along shoots discriminates Vitis species better than individual leaves |
title_fullStr | Composite modeling of leaf shape along shoots discriminates Vitis species better than individual leaves |
title_full_unstemmed | Composite modeling of leaf shape along shoots discriminates Vitis species better than individual leaves |
title_short | Composite modeling of leaf shape along shoots discriminates Vitis species better than individual leaves |
title_sort | composite modeling of leaf shape along shoots discriminates vitis species better than individual leaves |
topic | Application Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7742203/ https://www.ncbi.nlm.nih.gov/pubmed/33344095 http://dx.doi.org/10.1002/aps3.11404 |
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