ArticleGigaScience2017
Morphometric analysis of Passiflora leaves: the relationship between landmarks of the vasculature and elliptical Fourier descriptors of the blade.
Article in GigaScience, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 31 papers.
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Who cites it
31 citing papers in PubMed.
- Application of geometric morphometrics for variety identification inFrontiers in plant science · 2026Article
- Self-pollinated cannabis seeds lead to less variation in shape: a technological approach of potential commercial interest.BMC plant biology · 2025Article
- Herbarium specimens reveal links between leaf shape of Capsella bursa-pastoris and climate.American journal of botany · 2024Article
- Morphometrics and Phylogenomics of Coca (Erythroxylum spp.) Illuminate Its Reticulate Evolution, With Implications for Taxonomy.Molecular biology and evolution · 2024Article
- Characterization and Future Distribution Prospects of "Plants (Basel, Switzerland) · 2024Article
- Herbarium specimens reveal links betweenbioRxiv : the preprint server for biology · 2024Article
- Topological data analysis reveals core heteroblastic and ontogenetic programs embedded in leaves of grapevine (Vitaceae) and maracuyá (Passifloraceae).PLoS computational biology · 2024Article
- SpykProps: an imaging pipeline to quantify architecture in unilateral grass inflorescences.Plant methods · 2023Article
- Vegetative phase change causes age-dependent changes in phenotypic plasticity.The New phytologist · 2023Article
- Patterns of host plant use do not explain mushroom body expansion in Heliconiini butterflies.Proceedings. Biological sciences · 2023Article
- Increases in vein length compensate for leaf area lost to lobing in grapevine.American journal of botany · 2022Article
- Geometric and topological approaches to shape variation inRoyal Society open science · 2021Article
- Resources for image-based high-throughput phenotyping in crops and data sharing challenges.Plant physiology · 2021Article
- Vein-to-blade ratio is an allometric indicator of leaf size and plasticity.American journal of botany · 2021Article
- A Grand Challenge in Development and Evodevo: Quantifying the Role of Development in Evolution.Frontiers in plant science · 2021Article
- Composite modeling of leaf shape along shoots discriminatesApplications in plant sciences · 2020Article
- Plastome sequences of the subgenus Passiflora reveal highly divergent genes and specific evolutionary features.Plant molecular biology · 2020Article
- Multi-dimensional machine learning approaches for fruit shape phenotyping in strawberry.GigaScience · 2020Article
- ROSE-X: an annotated data set for evaluation of 3D plant organ segmentation methods.Plant methods · 2020Article
- Drivers of bromeliad leaf and floral bract variation across a latitudinal gradient in the Atlantic Forest.Journal of biogeography · 2020Article
Corrections and comments
- Erratum issued
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Leaf shape among Passiflora species is spectacularly diverse. Underlying this diversity in leaf shape are profound changes in the patterning of the primary vasculature and laminar outgrowth. Each of these aspects of leaf morphology-vasculature and blade-provides different insights into leaf patterning. Results: Here, we morphometrically analyze >3300 leaves from 40 different Passiflora species collected sequentially across the vine. Each leaf is measured in two different ways: using 1) 15 homologous Procrustes-adjusted landmarks of the vasculature, sinuses, and lobes; and 2) Elliptical Fourier Descriptors (EFDs), which quantify the outline of the leaf. The ability of landmarks, EFDs, and both datasets together are compared to determine their relative ability to predict species and node position within the vine. Pairwise correlation of x and y landmark coordinates and EFD harmonic coefficients reveals close associations between traits and insights into the relationship between vasculature and blade patterning. Conclusions: Landmarks, more reflective of the vasculature, and EFDs, more reflective of the blade contour, describe both similar and distinct features of leaf morphology. Landmarks and EFDs vary in ability to predict species identity and node position in the vine and exhibit a correlational structure (both within landmark or EFD traits and between the two data types) revealing constraints between vascular and blade patterning underlying natural variation in leaf morphology among Passiflora species.
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