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A Geometric Morphometrics-Based Mapping Model of Leaf Shape Evolution

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Evolution, Origin of Life, Concepts and Methods

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Abstract

Understanding how leaf shape diversifies and evolves requires the genetic information that encodes morphological variation within and between species. Genetic mapping provides a unique way for the dissection of leaf shape into its underlying Mendelian genes, known as quantitative trait loci (QTLs), but this approach relies on how leaf shape is quantified. In this chapter, we describe a computational approach that integrates geometric morphometrics (GM)-based shape analysis and principal component analysis (PCA) into the statistical framework of genetic mapping. This approach can map how QTLs affect both global and detailed variation of leaf shape. We demonstrate its utility by applying it to the genetic mapping study of a woody plant—mei (Prunus mume Sieb. et Zucc). This approach could serve as a powerful tool to understand the genetic basis underlying the natural variation and evolution of leaf shape in plants.

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Acknowledgements

This work is supported by grants National Natural Science Foundation of China (Grant No.31401900) and Special Fund for Forest Scientific Research in the Public Welfare (201404102).

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Authors and Affiliations

  1. Center for Computational Biology, College of Biological Sciences and Biotechnology, Beijing Forestry University, Beijing, 100083, China

    Yige Cao & Xuli Zhu

  2. National Engineering Research Center for Floriculture, Beijing Forestry University, Beijing, 100083, China

    Rongling Wu & Lidan Sun

  3. Center for Statistical Genetics, The Pennsylvania State University, Hershey, PA, 17033, USA

    Rongling Wu

Authors
  1. Yige Cao
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  2. Xuli Zhu
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  3. Rongling Wu
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  4. Lidan Sun
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Corresponding author

Correspondence to Lidan Sun .

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Editors and Affiliations

  1. CNRS and IHU, Aix-Marseille University, Marseille, France

    Pierre Pontarotti

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Cao, Y., Zhu, X., Wu, R., Sun, L. (2019). A Geometric Morphometrics-Based Mapping Model of Leaf Shape Evolution. In: Pontarotti, P. (eds) Evolution, Origin of Life, Concepts and Methods. Springer, Cham. https://doi.org/10.1007/978-3-030-30363-1_8

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