ArticleFrontiers in plant science2015
Quantifying floral shape variation in 3D using microcomputed tomography: a case study of a hybrid line between actinomorphic and zygomorphic flowers.
Article in Frontiers in plant science, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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20 citing papers in PubMed.
- Unveiling Nature's Architecture: Geometric Morphometrics as an Analytical Tool in Plant Biology.Plants (Basel, Switzerland) · 2025Review
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- Directional asymmetry and direction-giving factors: Lessons from flowers with complex symmetry.Evolution & development · 2022Article
- Adventitious Shoot Regeneration from Leaf Explants inPlants (Basel, Switzerland) · 2022Article
- The symmetry spectrum in a hybridising, tropical group of rhododendrons.The New phytologist · 2022Article
- Transcriptomic Analysis Suggests Auxin Regulation in Dorsal-Ventral Petal Asymmetry of Wild ProgenitorInternational journal of molecular sciences · 2022Article
- Imaging flowers: a guide to current microscopy and tomography techniques to study flower development.Journal of experimental botany · 2020Review
- A theoretical morphological model for quantitative description of the three-dimensional floral morphology in water lily (Nymphaea).PloS one · 2020Article
- Article
- Automatic Identification of First-Order Veins and Corolla Contours in Three-Dimensional Floral Images.Frontiers in plant science · 2020Article
- Measurement error in μCT-based three-dimensional geometric morphometrics introduced by surface generation and landmark data acquisition.Journal of anatomy · 2019Article
- Expression shifts of floral symmetry genes correlate to flower actinomorphy in East Asia endemic Conandron ramondioides (Gesneriaceae).Botanical studies · 2018Article
- High throughput phenotyping of morpho-anatomical stem properties using X-ray computed tomography in sorghum.Plant methods · 2018Article
- A Step-by-Step Guide for Geometric Morphometrics of Floral Symmetry.Frontiers in plant science · 2018Article
- Genetic Analysis of Floral Symmetry Transition in African Violet Suggests the Involvement of Trans-acting Factor forFrontiers in plant science · 2018Article
- Macro optical projection tomography for large scale 3D imaging of plant structures and gene activity.Journal of experimental botany · 2017Article
- Non-destructive determination of floral staging in cereals using X-ray micro computed tomography (µCT).Plant methods · 2017Article
- Association between Petal Form Variation andFrontiers in plant science · 2017Article
- Development of a petal protoplast transfection system forApplications in plant sciencesArticle
- 3D pollination biology using micro-computed tomography and geometric morphometrics inApplications in plant sciencesArticle
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5 authors.
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Abstract
The quantification of floral shape variations is difficult because flower structures are both diverse and complex. Traditionally, floral shape variations are quantified using the qualitative and linear measurements of two-dimensional (2D) images. The 2D images cannot adequately describe flower structures, and thus lead to unsatisfactory discrimination of the flower shape. This study aimed to acquire three-dimensional (3D) images by using microcomputed tomography (μCT) and to examine the floral shape variations by using geometric morphometrics (GM). To demonstrate the advantages of the 3D-μCT-GM approach, we applied the approach to a second-generation population of florist's gloxinia (Sinningia speciosa) crossed from parents of zygomorphic and actinomorphic flowers. The flowers in the population considerably vary in size and shape, thereby served as good materials to test the applicability of the proposed phenotyping approach. Procedures were developed to acquire 3D volumetric flower images using a μCT scanner, to segment the flower regions from the background, and to select homologous characteristic points (i.e., landmarks) from the flower images for the subsequent GM analysis. The procedures identified 95 landmarks for each flower and thus improved the capability of describing and illustrating the flower shapes, compared with typically lower number of landmarks in 2D analyses. The GM analysis demonstrated that flower opening and dorsoventral symmetry were the principal shape variations of the flowers. The degrees of flower opening and corolla asymmetry were then subsequently quantified directly from the 3D flower images. The 3D-μCT-GM approach revealed shape variations that could not be identified using typical 2D approaches and accurately quantified the flower traits that presented a challenge in 2D images. The approach opens new avenues to investigate floral shape variations.
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