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适应和评估单变体和多变体模型的在线系进化

Kjetil Lysne Voje¹

¹Natural History Museum P.O. 1172, Blindern, 0318 Oslo, Norway.

Paleobiology

|October 20, 2023

概括

进化模型揭示了血统如何适应不断变化的环境. 新的R包evoTS有助于对化石数据的分析,以了解放射性鱼和鱼的表型演变.

科学领域:

古生物学的古生物学
进化生物学进化生物学
量化遗传学量化遗传学

背景情况:

对于古生物学和进化生物学来说,了解血统中的表型进化是至关重要的.
从化石记录中分析进化时间序列,可以深入了解进化论的争论.
化石数据的有限模型可能会阻碍表型演变的解释.

研究的目的:

用单变量和多变量模型评估特征演变的对比假设.
为了研究Eucyrtidium calvertense*体型的演变.
为了研究 * Gasterosteus doryssus * * 甲特征的多变量演变.

主要方法:

应用特征演变的单元和多变量模型,具有不同的适应性景观动态.
对化石放射性鱼和鱼的表型演化的分析.
使用基于 paleoTS 框架的 R 包 evoTS.

主要成果:

*E. calvertense*的身体尺寸进化是由适应性景观转移与新同情相吻合而解释的.
在 *G. doryssus* 中,多变量盔甲特征演变显示了与相关特征变化一起适应独立的最佳.
拟合模型为分析化石系中的表型演变提供了一个框架.

结论:

这项研究表明,先进的进化模型对于解释化石数据的有用性.
现型进化可以由适应性景观变化和相关的特征变化驱动.
evoTS R软件包有助于分析进化时间序列数据.

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