Department of Systematic and Evolutionary Botany, University of Zurich, Zollikerstrasse 107, Zurich, CH-8008, Switzerland.
School of Biological Sciences, University of Edinburgh, King's Buildings, Mayfield Road, Edinburgh, UK.
Am J Bot. 2020 Dec;107(12):1710-1735. doi: 10.1002/ajb2.1568. Epub 2020 Nov 30.
Targeted enrichment methods facilitate sequencing of hundreds of nuclear loci to enhance phylogenetic resolution and elucidate why some parts of the "tree of life" are difficult (if not impossible) to resolve. The mimosoid legumes are a prominent pantropical clade of ~3300 species of woody angiosperms for which previous phylogenies have shown extensive lack of resolution, especially among the species-rich and taxonomically challenging ingoids.
We generated transcriptomes to select low-copy nuclear genes, enrich these via hybrid capture for representative species of most mimosoid genera, and analyze the resulting data using de novo assembly and various phylogenomic tools for species tree inference. We also evaluate gene tree support and conflict for key internodes and use phylogenetic network analysis to investigate phylogenetic signal across the ingoids.
Our selection of 964 nuclear genes greatly improves phylogenetic resolution across the mimosoid phylogeny and shows that the ingoid clade can be resolved into several well-supported clades. However, nearly all loci show lack of phylogenetic signal for some of the deeper internodes within the ingoids.
Lack of resolution in the ingoid clade is most likely the result of hyperfast diversification, potentially causing a hard polytomy of six or seven lineages. The gene set for targeted sequencing presented here offers great potential to further enhance the phylogeny of mimosoids and the wider Caesalpinioideae with denser taxon sampling, to provide a framework for taxonomic reclassification, and to study the ingoid radiation.
靶向富集方法可促进数百个核基因座的测序,以提高系统发育分辨率,并阐明为什么“生命之树”的某些部分难以(如果不是不可能的话)解决。含羞草类豆科植物是一个显著的泛热带类群,有约 3300 种木本被子植物,之前的系统发育研究表明,它们的分辨率存在广泛的不足,尤其是在物种丰富且分类上具有挑战性的含羞草族中。
我们生成转录组以选择低拷贝核基因,通过杂交捕获对大多数含羞草属的代表性物种进行富集,并使用从头组装和各种系统发育基因组学工具分析所得数据,以进行种系发生树推断。我们还评估了关键节点的基因树支持和冲突,并使用系统发生网络分析来研究含羞草族中的系统发生信号。
我们选择的 964 个核基因极大地提高了含羞草类系统发育的分辨率,并表明含羞草族可以分为几个得到很好支持的分支。然而,几乎所有的基因座在含羞草族内部的一些更深的节点都显示出缺乏系统发生信号。
含羞草族分辨率不足的最可能原因是快速多样化,这可能导致六个或七个谱系的硬多系性。本文提出的靶向测序基因集具有很大的潜力,可以进一步增强含羞草类和更广泛的金缕梅亚科的系统发育,通过更密集的分类群采样提供分类重新分类的框架,并研究含羞草族的辐射。