Studies of shape asymmetry have become increasingly abundant as the methods of geometric morphometrics have gained widespread use. Most of these studies have focussed on fluctuating asymmetry and have largely obtained similar results as more traditional analyses of asymmetry in distance measurements, but several notable differences have also emerged. A key difference is that shape analyses provide information on the patterns, not just the amount of variation, and therefore tend to be more sensitive. Such analyses have shown that apparently symmetric structures in animals consistently show directional asymmetry for shape, but not for size. Furthermore, the long-standing prediction that phenotypic plasticity in response to environmental heterogeneity can contribute to fluctuating asymmetry has been confirmed for the first time for the shape of flower parts (but not for size). Finally, shape analyses in structures with complex symmetry, such as many flowers, can distinguish multiple types of directional asymmetry, generated by distinct direction-giving factors, which combine to the single component observable in bilaterally symmetric structures. While analyses of shape asymmetry are broadly compatible with traditional analyses of asymmetry, they incorporate more detailed morphological information, particularly for structures with complex symmetry, and therefore can reveal subtle biological effects that would otherwise not be apparent. This makes them a promising tool for a wide range of studies in the basic and applied life sciences.
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Review Article|
June 27 2022
Shape asymmetry — what's new?
Christian Peter Klingenberg
School of Biological Sciences, University of Manchester, Michael Smith Building, Oxford Road, Manchester M13 9PT, U.K.
Correspondence: Christian Peter Klingenberg (cpk@manchester.ac.uk)
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Emerg Top Life Sci (2022) ETLS20210273.
Article history
Received:
February 28 2022
Revision Received:
May 27 2022
Accepted:
May 30 2022
Citation
Christian Peter Klingenberg; Shape asymmetry — what's new?. Emerg Top Life Sci 2022; ETLS20210273. doi: https://doi.org/10.1042/ETLS20210273
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