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首页> 外文期刊>Evolution: International Journal of Organic Evolution >Measuring the magnitude of morphological integration: The effect of differences in morphometric representations and the inclusion of size
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Measuring the magnitude of morphological integration: The effect of differences in morphometric representations and the inclusion of size

机译:测量形态学集成的大小:不同形式表示中差异的影响以及包含大小的含量

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摘要

Themagnitude of morphological integration is amajor aspect of multivariate evolution, providing a simplemeasure of the intensity of association between morphological traits. Studies concerned with morphological integration usually translate phenotypes into morphometric representations to quantify how different morphological elements covary. Geometric and classic morphometric representations translate biological form in different ways, raising the question if magnitudes of morphological integration estimates obtained from different morphometric representations are compatible. Here we sought to answer this question using the relative eigenvalue variance of the covariance matrix obtained for both geometric and classical representations of empirical and simulated datasets.We quantified the magnitude of morphological integration for both shape and form and compared results between representations. Furthermore, we compared integration values between shape and form to evaluate the effect of the inclusion or not of size on the quantification of the magnitude of morphological integration. Results show that the choice of morphological representation has significant impact on the integration magnitude estimate, either for shape or form. Despite this, ordination of the integration values within representations is relatively the same, allowing for similar conclusions to be reached using different methods. However, the inclusion of size in the dataset significantly changes the estimates of magnitude of morphological integration, hindering the comparison of this statistic obtained from different spaces. Morphometricians should be aware of these differences and must consider how biological hypothesis translate into predictions about integration in each particular choice of representation.
机译:形态学整合的对数量的多变量演化的amajor方面,提供了形态学性状之间关联强度的重点。关联与形态学集成的研究通常将表型翻译成形态表的表型,以量化心情不同的心律学。几何和经典的形态学表示以不同方式翻译生物形式,提出问题,如果从不同的形态学表示获得的形态整合估计数相容。在这里,我们寻求利用对经验和模拟数据集的几何和经典表示所获得的协方差矩阵的相对特征值方差来回答这个问题。我们量化了形状和形状的形态学集成的大小,并且比较了表示之间的结果。此外,我们比较了形状和形式之间的积分值,以评估包含或不尺寸对形态学整合程度的量化的影响。结果表明,形态学表示的选择对整体幅度估计有重大影响,形状或形式。尽管如此,表示在表示内的集成值的秩序相对相同,允许使用不同的方法来达到类似的结论。然而,在数据集中的尺寸显着改变了形态学集成幅度的估计,阻碍了从不同空间获得的这种统计数据的比较。形态素学家应该了解这些差异,必须考虑生物学假设如何转化为关于各种特定选择中的整合的预测。

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  • 作者单位

    Department of Biology University of Massachusetts Boston Massachusetts 02125;

    Departamento de Oceanografia Instituto de Geociências Universidade Federal da Bahia R. Bara? de Jeremoabo S/N - Ondina Salvador Bahia 40170-110 Brazil;

    Departamento de Genética e Biologia Evolutiva Instituto de Biociências Rua do Mata? 277 Universidade de Sa? Paulo Sa? Paulo Sa? Paulo 05508-090 Brazil;

    Department of Biosciences Centre for Ecological and Evolutionary Synthesis (CEES) University of Oslo 0315 Oslo Norway;

    Departamento de Genética e Biologia Evolutiva Instituto de Biociências Rua do Mata? 277 Universidade de Sa? Paulo Sa? Paulo Sa? Paulo 05508-090 Brazil;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 生物演化与发展;
  • 关键词

    Covariance matrix; canidae; eigenvalue variance; P matrix; skull;

    机译:协方差矩阵;CANIDAE;特征值方差;P矩阵;头骨;

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