Chen A, Steell E M, Benson R B J, Field D J
Department of Earth Sciences, University of Cambridge, Cambridge CB2 3EQ, UK.
Girton College, Cambridge CB3 0JG, UK.
Integr Org Biol. 2025 Jul 24;7(1):obaf029. doi: 10.1093/iob/obaf029. eCollection 2025.
Phylogenetic analyses of phenotypic characters in crown-group birds often recover results that are strongly incongruous with the findings of recent phylogenomic analyses. Furthermore, existing morphological datasets for crown birds are frequently limited by restricted taxon or character sampling, inconsistent character construction, incorrect scoring, or a combination of several of these factors. As part of an effort to address these limitations, in this study we focus on identifying phylogenetically informative characters of the avian pectoral girdle and forelimb skeleton, elements of which are commonly preserved as avian fossils. We assembled and vetted a dataset of 203 characters, which were then scored for a phylogenetically diverse range of 75 extant avian taxa and incorporated into phylogenetic analyses. Analyses run without topological constraints exhibited notable conflicts with the results of recent phylogenomic studies, possibly due to functional convergence and rapid cladogenesis in the early evolutionary history of crown birds. Qualitative anatomical comparisons and quantitative metrics of homoplasy further highlighted the fact that similar morphologies in pectoral girdle and forelimb elements have evolved repeatedly in distantly related groups of birds, representing a major confounding factor in avian morphological phylogenetics. However, the implementation of molecular scaffolds allowed the identification of diagnostic character combinations for numerous avian clades previously only recognized through molecular data, such as Phaethontimorphae, Aequornithes, and Telluraves. Although large morphological datasets may not guarantee increased congruence with molecular phylogenetic studies, they can nonetheless be valuable tools for identifying anatomical synapomorphies of key clades, placing fossils into phylogenetic context, and studying macroevolutionary patterns within major groups of organisms.
对冠群鸟类表型特征的系统发育分析常常得出与近期系统发育基因组学分析结果严重不一致的结论。此外,现有的冠群鸟类形态学数据集常常受到分类单元或特征采样受限、特征构建不一致、评分错误或这些因素中几种因素组合的限制。作为解决这些局限性工作的一部分,在本研究中,我们专注于识别鸟类肩带和前肢骨骼的系统发育信息特征,这些骨骼元素通常作为鸟类化石保存下来。我们收集并审核了一个包含203个特征的数据集,然后对75个现存鸟类分类单元的系统发育多样范围进行评分,并将其纳入系统发育分析。在没有拓扑限制的情况下进行的分析与近期系统发育基因组学研究的结果存在显著冲突,这可能是由于冠群鸟类早期进化历史中的功能趋同和快速分支形成。定性解剖比较和同塑性的定量指标进一步凸显了这样一个事实,即肩带和前肢元素的相似形态在远缘鸟类群体中反复进化,这是鸟类形态系统发育学中的一个主要混杂因素。然而,分子支架的应用使得能够识别许多以前仅通过分子数据识别的鸟类分支的诊断特征组合,如鹲形目、水鸟总目和陆鸟总目。尽管大型形态学数据集可能无法保证与分子系统发育研究的一致性增加,但它们仍然可以成为识别关键分支的解剖共源性状、将化石置于系统发育背景中以及研究主要生物类群内宏观进化模式的有价值工具。