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Morphometrics Reveals Complex and Heritable Apple Leaf Shapes
Apple (Malus spp.) is a widely grown and valuable fruit crop. Leaf shape is important for flowering in apple and may also be an early indicator for other agriculturally valuable traits. We examined 9,000 leaves from 869 unique apple accessions using linear measurements and comprehensive morphometric...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5758599/ https://www.ncbi.nlm.nih.gov/pubmed/29354142 http://dx.doi.org/10.3389/fpls.2017.02185 |
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author | Migicovsky, Zoë Li, Mao Chitwood, Daniel H. Myles, Sean |
author_facet | Migicovsky, Zoë Li, Mao Chitwood, Daniel H. Myles, Sean |
author_sort | Migicovsky, Zoë |
collection | PubMed |
description | Apple (Malus spp.) is a widely grown and valuable fruit crop. Leaf shape is important for flowering in apple and may also be an early indicator for other agriculturally valuable traits. We examined 9,000 leaves from 869 unique apple accessions using linear measurements and comprehensive morphometric techniques. We identified allometric variation as the result of differing length-to-width aspect ratios between accessions and species of apple. The allometric variation was due to variation in the width of the leaf blade, not the length. Aspect ratio was highly correlated with the first principal component (PC1) of morphometric variation quantified using elliptical Fourier descriptors (EFDs) and persistent homology (PH). While the primary source of variation was aspect ratio, subsequent PCs corresponded to complex shape variation not captured by linear measurements. After linking the morphometric information with over 122,000 genome-wide single nucleotide polymorphisms (SNPs), we found high SNP heritability values even at later PCs, indicating that comprehensive morphometrics can capture complex, heritable phenotypes. Thus, techniques such as EFDs and PH are capturing heritable biological variation that would be missed using linear measurements alone. |
format | Online Article Text |
id | pubmed-5758599 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-57585992018-01-19 Morphometrics Reveals Complex and Heritable Apple Leaf Shapes Migicovsky, Zoë Li, Mao Chitwood, Daniel H. Myles, Sean Front Plant Sci Plant Science Apple (Malus spp.) is a widely grown and valuable fruit crop. Leaf shape is important for flowering in apple and may also be an early indicator for other agriculturally valuable traits. We examined 9,000 leaves from 869 unique apple accessions using linear measurements and comprehensive morphometric techniques. We identified allometric variation as the result of differing length-to-width aspect ratios between accessions and species of apple. The allometric variation was due to variation in the width of the leaf blade, not the length. Aspect ratio was highly correlated with the first principal component (PC1) of morphometric variation quantified using elliptical Fourier descriptors (EFDs) and persistent homology (PH). While the primary source of variation was aspect ratio, subsequent PCs corresponded to complex shape variation not captured by linear measurements. After linking the morphometric information with over 122,000 genome-wide single nucleotide polymorphisms (SNPs), we found high SNP heritability values even at later PCs, indicating that comprehensive morphometrics can capture complex, heritable phenotypes. Thus, techniques such as EFDs and PH are capturing heritable biological variation that would be missed using linear measurements alone. Frontiers Media S.A. 2018-01-04 /pmc/articles/PMC5758599/ /pubmed/29354142 http://dx.doi.org/10.3389/fpls.2017.02185 Text en Copyright © 2018 Migicovsky, Li, Chitwood and Myles. 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) or licensor 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 Migicovsky, Zoë Li, Mao Chitwood, Daniel H. Myles, Sean Morphometrics Reveals Complex and Heritable Apple Leaf Shapes |
title | Morphometrics Reveals Complex and Heritable Apple Leaf Shapes |
title_full | Morphometrics Reveals Complex and Heritable Apple Leaf Shapes |
title_fullStr | Morphometrics Reveals Complex and Heritable Apple Leaf Shapes |
title_full_unstemmed | Morphometrics Reveals Complex and Heritable Apple Leaf Shapes |
title_short | Morphometrics Reveals Complex and Heritable Apple Leaf Shapes |
title_sort | morphometrics reveals complex and heritable apple leaf shapes |
topic | Plant Science |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5758599/ https://www.ncbi.nlm.nih.gov/pubmed/29354142 http://dx.doi.org/10.3389/fpls.2017.02185 |
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