Literature DB >> 17688593

A method for quantifying rotational symmetry.

Frank M Frey1, Aaron Robertson2, Michael Bukoski1.   

Abstract

Here, a new approach for quantifying rotational symmetry based on vector analysis was described and compared with information obtained from a geometric morphometric analysis and a technique based on distance alone. A new method was developed that generates a polygon from the length and angle data of a structure and then quantifies the minimum change necessary to convert that polygon into a regular polygon. This technique yielded an asymmetry score (s) that can range from 0 (perfect symmetry) to 1 (complete asymmetry). Using digital images of Geranium robertianum flowers, this new method was compared with a technique based on lengths alone and with established geometric morphometric methods used to quantify shape variation. Asymmetry scores (s) more clearly described variation in symmetry and were more consistent with a visual assessment of the images than either comparative technique. This procedure is the first to quantify the asymmetry of radial structures accurately, uses easily obtainable measures to calculate the asymmetry score and allows comparisons among individuals and species, even when the comparisons involve structures with different patterns of symmetry. This technique enables the rigorous analysis of polysymmetric structures and provides a foundation for a better understanding of symmetry in nature.

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Year:  2007        PMID: 17688593     DOI: 10.1111/j.1469-8137.2007.02146.x

Source DB:  PubMed          Journal:  New Phytol        ISSN: 0028-646X            Impact factor:   10.151


  5 in total

1.  Beyond bilateral symmetry: geometric morphometric methods for any type of symmetry.

Authors:  Yoland Savriama; Christian Peter Klingenberg
Journal:  BMC Evol Biol       Date:  2011-09-29       Impact factor: 3.260

2.  Geometric morphometrics reveals shifts in flower shape symmetry and size following gene knockdown of CYCLOIDEA and ANTHOCYANIDIN SYNTHASE.

Authors:  Brent A Berger; Vincent A Ricigliano; Yoland Savriama; Aedric Lim; Veronica Thompson; Dianella G Howarth
Journal:  BMC Plant Biol       Date:  2017-11-17       Impact factor: 4.215

3.  Identification of approximate symmetries in biological development.

Authors:  Punit Gandhi; Maria-Veronica Ciocanel; Karl Niklas; Adriana T Dawes
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2021-11-08       Impact factor: 4.226

4.  Directional asymmetry and direction-giving factors: Lessons from flowers with complex symmetry.

Authors:  Sanja Budečević; Sanja Manitašević Jovanović; Ana Vuleta; Branka Tucić; Christian Peter Klingenberg
Journal:  Evol Dev       Date:  2022-06-16       Impact factor: 2.839

5.  A Step-by-Step Guide for Geometric Morphometrics of Floral Symmetry.

Authors:  Yoland Savriama
Journal:  Front Plant Sci       Date:  2018-10-10       Impact factor: 5.753

  5 in total

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