Department of Plant Biology, Michigan State University, 612 Wilson Road, East Lansing, 48824-1226, MI, USA.
Ecology, Evolution, & Behavior Program, Michigan State University, 567 Wilson Road, East Lansing, 48824-1226, MI, USA.
Am J Bot. 2024 Nov;111(11):e16435. doi: 10.1002/ajb2.16435. Epub 2024 Nov 6.
Studies into the evolution and development of leaf shape have connected variation in plant form, function, and fitness. For species with consistent leaf margin features, patterns in leaf architecture are related to both biotic and abiotic factors. However, for species with inconsistent leaf shapes, quantifying variation in leaf shape and the effects of environmental factors on leaf shape has proven challenging.
To investigate leaf shape variation in a species with inconsistently shaped leaves, we used geometric morphometric modeling and deterministic techniques to analyze approximately 500 digitized specimens of Capsella bursa-pastoris collected throughout the continental United States over 100 years. We generated a morphospace of the leaf shapes and modeled leaf shape as a function of environment and time.
Leaf shape variation of C. bursa-pastoris was strongly associated with temperature over its growing season, with lobing decreasing as temperature increased. While we expected to see changes in variation over time, our results show that the level of leaf shape variation was consistent over the 100 years.
Our findings showed that species with inconsistent leaf shape variation can be quantified using geometric morphometric modeling techniques and that temperature is the main environmental factor influencing leaf shape variation.
对叶片形状的进化和发育的研究将植物形态、功能和适应性的变化联系起来。对于具有一致叶片边缘特征的物种,叶片结构的模式与生物和非生物因素都有关。然而,对于叶片形状不一致的物种来说,量化叶片形状的变化以及环境因素对叶片形状的影响一直具有挑战性。
为了研究叶片形状变化,我们使用几何形态测量模型和确定性技术,对 100 多年来在美国大陆各地收集的约 500 个荠菜(Capsella bursa-pastoris)数字化样本进行了分析。我们生成了叶片形状的形态空间,并将叶片形状建模为环境和时间的函数。
荠菜的叶片形状变化与生长季节的温度强烈相关,随着温度的升高,叶片裂片减少。虽然我们预计会看到随时间变化的变化,但我们的结果表明,叶片形状变化的水平在 100 年内是一致的。
我们的研究结果表明,具有不一致叶片形状变化的物种可以使用几何形态测量模型技术进行量化,并且温度是影响叶片形状变化的主要环境因素。