形状不对称——有什么新鲜事吗?

IF 3.4 Q2 BIOCHEMISTRY & MOLECULAR BIOLOGY
Christian Peter Klingenberg
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引用次数: 3

摘要

随着几何形态计量学方法的广泛应用,对形状不对称的研究日益丰富。这些研究大多集中于波动不对称,并在很大程度上获得了与更传统的距离测量不对称分析相似的结果,但也出现了一些显著的差异。一个关键的区别是,形状分析提供了关于图案的信息,而不仅仅是变化的数量,因此往往更敏感。这些分析表明,动物表面上对称的结构在形状上始终表现出方向上的不对称,但在大小上却并非如此。此外,长期以来的预测,即对环境异质性的表型可塑性可能导致波动不对称,这一预测首次在花的形状(但不是大小)上得到证实。最后,对具有复杂对称性的结构(如许多花)进行形状分析,可以区分由不同的方向赋予因素产生的多种类型的方向不对称,这些因素结合到双边对称结构中可观察到的单一成分。虽然形状不对称的分析与传统的不对称分析大体一致,但它们包含了更详细的形态信息,特别是对于具有复杂对称性的结构,因此可以揭示微妙的生物效应,否则这些效应不会很明显。这使得它们在基础和应用生命科学的广泛研究中成为一个有前途的工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Shape asymmetry - what's new?

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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CiteScore
7.70
自引率
0.00%
发文量
94
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