Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Migicovsky, Zoë, Li, Mao, Chitwood, Daniel H., Myles, Sean
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2018
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
_version_ 1783291023089205248
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
work_keys_str_mv AT migicovskyzoe morphometricsrevealscomplexandheritableappleleafshapes
AT limao morphometricsrevealscomplexandheritableappleleafshapes
AT chitwooddanielh morphometricsrevealscomplexandheritableappleleafshapes
AT mylessean morphometricsrevealscomplexandheritableappleleafshapes