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Hidden Asymmetry in Shape of Biological Patterns

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Cybernetics and Algorithms in Intelligent Systems (CSOC2018 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 765))

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Abstract

Various bilaterally symmetrical traits have not the same variability in the magnitude of the fluctuating asymmetry. Directional asymmetry (DA) is the second type of asymmetry with a clear predominance of either right or left structures. Since the FA is a considered indicator of instability, traits with DA are not used in the integral environmental monitoring. In presented paper the geometric morphometrics method is considered. This takes into account the labels that are placed on the bilaterally symmetric structures. The centroid points of consensus figure are drawn by the averaging of landmarks in Cartesian coordinates and the value of the FA shape of lamina is evaluated. In present study the MorphoJ1.06d package was used. The sampling procedure resulted in a nested dataset design. The increase in the accuracy of the measurement indicated a large fraction of the directional asymmetry. 90% of population studied possessed this type asymmetry. 10% of samples were characterized by clear fluctuating asymmetry. The results conclude the importance fine compute approach to testing of stability of development in natural biosystem.

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Authors and Affiliations

  1. Vladimir State University, Vladimir, 600000, Russia

    Sergey G. Baranov

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  1. Sergey G. Baranov
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Correspondence to Sergey G. Baranov .

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  1. Faculty of Applied Informatics, Tomas Bata University in Zlín, Zlín, Czech Republic

    Radek Silhavy

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Baranov, S.G. (2019). Hidden Asymmetry in Shape of Biological Patterns. In: Silhavy, R. (eds) Cybernetics and Algorithms in Intelligent Systems . CSOC2018 2018. Advances in Intelligent Systems and Computing, vol 765. Springer, Cham. https://doi.org/10.1007/978-3-319-91192-2_20

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