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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...

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Autores principales: 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.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2020
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.
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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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