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      Morphometric analysis of Passiflora leaves: the relationship between landmarks of the vasculature and elliptical Fourier descriptors of the blade

      1 , 2
      GigaScience
      Oxford University Press (OUP)

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          Abstract

          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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          Most cited references49

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          Momocs: Outline Analysis UsingR

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            SHAPE: A Computer Program Package for Quantitative Evaluation of Biological Shapes Based on Elliptic Fourier Descriptors

            H. Iwata (2002)
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              SHAPE: a computer program package for quantitative evaluation of biological shapes based on elliptic Fourier descriptors.

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                Author and article information

                Journal
                GigaScience
                Oxford University Press (OUP)
                2047-217X
                January 2017
                January 01 2017
                January 07 2017
                January 2017
                January 01 2017
                January 07 2017
                : 6
                : 1
                Affiliations
                [1 ]Donald Danforth Plant Science Center, St. Louis, MO, USA
                [2 ]Departamento de Biologia Vegetal/BIOAGRO, Universidade Federal de Viçosa, Viçosa, MG, Brasil
                Article
                10.1093/gigascience/giw008
                36726c0a-567f-4574-89e4-00531554eacf
                © 2017

                http://creativecommons.org/licenses/by/4.0/

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