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Reproductive complexity, whole genome duplication, and genome size data across vascular plants

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DataONE2024-11-22 更新2025-04-26 收录
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Whole genome duplication (WGD) may be an important factor in plant macroevolution, implicated in diversification rate shifts, structural innovations, and increased disparity. But general effects of WGD on plant evolution are challenging to evaluate, in part due to the difficulty of directly comparing morphological patterns across clades. We explored relationships between WGD and the evolution of complexity across vascular plants using a metric based on the number of reproductive part types. We used multiple regression models to evaluate the relative importance of inferred WGD events, genome size, and a suite of additional variables relating to growth habit and reproductive biology in explaining part type complexity. WGD was a consistent predictor of reproductive complexity only among angiosperms. Across vascular plants more generally, reproductive biology, clade identity, and the presence of bisexual strobili (those that produce microsporangiate and megasporangiate organs) were better p..., , , # Reproductive complexity, whole genome duplication, and genome size data across vascular plants GENERAL INFORMATION 1. Title of Dataset: Whole Genome Duplications and Reproductive Complexity 2. Author Information A. Principal Investigator Contact Information Name: Andrew Leslie Institution: Stanford University Address: 450 Jane Stanford Way, Building 320, Room 118, Stanford, CA 94305, USA.\ Email: [aleslieb@stanford.edu](mailto:aleslieb@stanford.edu) B. Associate or Co-investigator Contact Information Name: Luke Mander Institution: The Open University Address: Walton Hall, Milton Keynes, MK7 6AA, UK. Email: [luke.mander@gmail.com](mailto:luke.mander@gmail.com) DATA & FILE OVERVIEW File List: 1. ComplexityWGD_data.csv 2. Analysis Scripts.R 3. Data_Citations.txt 4. Forest2018.tree 5. Janssens2020.tree 6. Nitta2022.tree 7. Testo2018.tree 8. Angio_reorder.tree \"ComplexityWGD_data.csv\"\" contains the data and character scorings used in our analyses...
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2024-11-23
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