Department of Palaeontology, University of Vienna, Vienna, Austria.
Ronin Institute for Independent Scholarship, Montclair, NJ, USA.
Am J Bot. 2024 Feb;111(2):e16282. doi: 10.1002/ajb2.16282. Epub 2024 Feb 9.
Although molecular phylogenetics remains the most widely used method of inferring the evolutionary history of living groups, the last decade has seen a renewed interest in morphological phylogenetics, mostly driven by the promises that integrating the fossil record in phylogenetic trees offers to our understanding of macroevolutionary processes and dynamics and the possibility that the inclusion of fossil taxa could lead to more accurate phylogenetic hypotheses. The plant fossil record presents some challenges to its integration in a phylogenetic framework. Phylogenies including plant fossils often retrieve uncertain relationships with low support, or lack of resolution. This low support is due to the pervasiveness of morphological convergence among plant organs and the fragmentary nature of many plant fossils, and it is often perceived as a fundamental weakness reducing the utility of plant fossils in phylogenetics. Here I discuss the importance of uncertainty in morphological phylogenetics and how we can identify important information from different patterns and types of uncertainty. I also review a set of methodologies that can allow us to understand the causes underpinning uncertainty and how these practices can help us to further our knowledge of plant fossils. I also propose that a new visual language, including the use of networks instead of trees, represents an improvement on the old visualization based on consensus trees and more adequately serves phylogeneticists working with plant fossils. This set of methods and visualization tools represents an important way forward in a fundamental field for our understanding of the evolutionary history of plants.
虽然分子系统发生学仍然是推断生物群体进化历史最广泛使用的方法,但在过去十年中,形态系统发生学重新引起了人们的兴趣,这主要是因为将化石记录纳入系统发育树为我们理解宏观进化过程和动态提供了承诺,以及纳入化石分类群的可能性可能会导致更准确的系统发育假设。植物化石记录在将其纳入系统发育框架时存在一些挑战。包括植物化石的系统发育通常会检索到不确定的关系,支持度低或分辨率低。这种低支持度归因于植物器官之间形态趋同的普遍性和许多植物化石的不完整性,并且通常被视为降低植物化石在系统发生学中实用性的根本弱点。在这里,我讨论了形态系统发生学中不确定性的重要性,以及我们如何从不同的模式和类型的不确定性中识别重要信息。我还回顾了一组可以使我们了解不确定性背后的原因的方法,以及这些实践如何帮助我们进一步了解植物化石。我还提出,一种新的可视化语言,包括使用网络而不是树,代表了对基于共识树的旧可视化的改进,并更适当地为使用植物化石的系统发育学家服务。这组方法和可视化工具代表了我们理解植物进化历史的一个重要基础领域的前进方向。