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Quantitative Trait Locus Analysis of Leaf Morphology Indicates Conserved Shape Loci in Grapevine
Leaf shape in plants plays important roles in water use, canopy structure, and physiological tolerances to abiotic stresses; all important traits for the future development and sustainability of grapevine cultivation. Historically, researchers have used ampelography, the study of leaf shape in grape...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6873345/ https://www.ncbi.nlm.nih.gov/pubmed/31803199 http://dx.doi.org/10.3389/fpls.2019.01373 |
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author | Demmings, Elizabeth M. Williams, Brigette R. Lee, Cheng-Ruei Barba, Paola Yang, Shanshan Hwang, Chin-Feng Reisch, Bruce I. Chitwood, Daniel H. Londo, Jason P. |
author_facet | Demmings, Elizabeth M. Williams, Brigette R. Lee, Cheng-Ruei Barba, Paola Yang, Shanshan Hwang, Chin-Feng Reisch, Bruce I. Chitwood, Daniel H. Londo, Jason P. |
author_sort | Demmings, Elizabeth M. |
collection | PubMed |
description | Leaf shape in plants plays important roles in water use, canopy structure, and physiological tolerances to abiotic stresses; all important traits for the future development and sustainability of grapevine cultivation. Historically, researchers have used ampelography, the study of leaf shape in grapevines, to differentiate Vitis species and cultivars based on finite leaf attributes. However, ampelographic measurements have limitations and new methods for quantifying shape are now available. We paired an analysis of finite trait attributes with a 17-point landmark survey and generalized Procrustes analysis (GPA) to reconstruct grapevine leaves digitally from five interspecific hybrid mapping families. Using the reconstructed leaves, we performed three types of quantitative trait loci (QTL) analyses to determine the genetic architecture that defines leaf shape. In the first analysis, we compared several important ampelographic measurements as finite trait QTL. In the second and third analyses, we identified significant shape variation via principal components analysis (PCA) and using a multivariate least squares interval mapping (MLSIM) approach. In total, we identified 271 significant QTL across the three measures of leaf shape and identified specific QTL hotspots in the grape genome which appear to drive major aspects of grapevine leaf shape. |
format | Online Article Text |
id | pubmed-6873345 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-68733452019-12-04 Quantitative Trait Locus Analysis of Leaf Morphology Indicates Conserved Shape Loci in Grapevine Demmings, Elizabeth M. Williams, Brigette R. Lee, Cheng-Ruei Barba, Paola Yang, Shanshan Hwang, Chin-Feng Reisch, Bruce I. Chitwood, Daniel H. Londo, Jason P. Front Plant Sci Plant Science Leaf shape in plants plays important roles in water use, canopy structure, and physiological tolerances to abiotic stresses; all important traits for the future development and sustainability of grapevine cultivation. Historically, researchers have used ampelography, the study of leaf shape in grapevines, to differentiate Vitis species and cultivars based on finite leaf attributes. However, ampelographic measurements have limitations and new methods for quantifying shape are now available. We paired an analysis of finite trait attributes with a 17-point landmark survey and generalized Procrustes analysis (GPA) to reconstruct grapevine leaves digitally from five interspecific hybrid mapping families. Using the reconstructed leaves, we performed three types of quantitative trait loci (QTL) analyses to determine the genetic architecture that defines leaf shape. In the first analysis, we compared several important ampelographic measurements as finite trait QTL. In the second and third analyses, we identified significant shape variation via principal components analysis (PCA) and using a multivariate least squares interval mapping (MLSIM) approach. In total, we identified 271 significant QTL across the three measures of leaf shape and identified specific QTL hotspots in the grape genome which appear to drive major aspects of grapevine leaf shape. Frontiers Media S.A. 2019-11-15 /pmc/articles/PMC6873345/ /pubmed/31803199 http://dx.doi.org/10.3389/fpls.2019.01373 Text en Copyright © 2019 Demmings, Williams, Lee, Barba, Yang, Hwang, Reisch, Chitwood and Londo http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Plant Science Demmings, Elizabeth M. Williams, Brigette R. Lee, Cheng-Ruei Barba, Paola Yang, Shanshan Hwang, Chin-Feng Reisch, Bruce I. Chitwood, Daniel H. Londo, Jason P. Quantitative Trait Locus Analysis of Leaf Morphology Indicates Conserved Shape Loci in Grapevine |
title | Quantitative Trait Locus Analysis of Leaf Morphology Indicates Conserved Shape Loci in Grapevine |
title_full | Quantitative Trait Locus Analysis of Leaf Morphology Indicates Conserved Shape Loci in Grapevine |
title_fullStr | Quantitative Trait Locus Analysis of Leaf Morphology Indicates Conserved Shape Loci in Grapevine |
title_full_unstemmed | Quantitative Trait Locus Analysis of Leaf Morphology Indicates Conserved Shape Loci in Grapevine |
title_short | Quantitative Trait Locus Analysis of Leaf Morphology Indicates Conserved Shape Loci in Grapevine |
title_sort | quantitative trait locus analysis of leaf morphology indicates conserved shape loci in grapevine |
topic | Plant Science |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6873345/ https://www.ncbi.nlm.nih.gov/pubmed/31803199 http://dx.doi.org/10.3389/fpls.2019.01373 |
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