Fonseca Luiz Henrique M, Carlsen Mónica M, Fine Paul V A, Lohmann Lúcia G
Departamento de Botânica, Instituto de Biociências, Universidade de São Paulo, São Paulo, Brazil.
Systematic and Evolutionary Botany Laboratory, Department of Biology, Ghent University, Ghent, Belgium.
Front Genet. 2023 Jan 9;13:1085692. doi: 10.3389/fgene.2022.1085692. eCollection 2022.
The plant family Bignoniaceae is a conspicuous and charismatic element of the tropical flora. The family has a complex taxonomic history, with substantial changes in the classification of the group during the past two centuries. Recent re-classifications at the tribal and generic levels have been largely possible by the availability of molecular phylogenies reconstructed using Sanger sequencing data. However, our complete understanding of the systematics, evolution, and biogeography of the family remains incomplete, especially due to the low resolution and support of different portions of the Bignoniaceae phylogeny. To overcome these limitations and increase the amount of molecular data available for phylogeny reconstruction within this plant family, we developed a bait kit targeting 762 nuclear genes, including 329 genes selected specifically for the Bignoniaceae; 348 genes obtained from the Angiosperms353 with baits designed specifically for the family; and, 85 low-copy genes of known function. On average, 77.4% of the reads mapped to the targets, and 755 genes were obtained per species. After removing genes with putative paralogs, 677 loci were used for phylogenetic analyses. On-target genes were compared and combined in the Exon-Only dataset, and on-target + off-target regions were combined in the Supercontig dataset. We tested the performance of the bait kit at different taxonomic levels, from family to species-level, using 38 specimens of 36 different species of Bignoniaceae, representing: 1) six (out of eight) tribal level-clades (e.g., Bignonieae, Oroxyleae, Tabebuia Alliance, Paleotropical Clade, Tecomeae, and Jacarandeae), only Tourrettieae and Catalpeae were not sampled; 2) all 20 genera of Bignonieae; 3) seven (out of nine) species of (e.g., , , , , , , and ), only and were not sampled; and 4) three individuals of . Our data reconstructed a well-supported phylogeny of the Bignoniaceae at different taxonomic scales, opening new perspectives for a comprehensive phylogenetic framework for the family as a whole.
紫葳科是热带植物区系中一个显著且具有魅力的组成部分。该科有着复杂的分类学历史,在过去两个世纪中其分类发生了重大变化。近期在族级和属级水平上的重新分类,很大程度上得益于利用桑格测序数据重建的分子系统发育树。然而,我们对该科的系统学、进化和生物地理学的全面理解仍不完整,特别是由于紫葳科系统发育树不同部分的分辨率和支持度较低。为了克服这些限制并增加可用于该植物科系统发育重建的分子数据量,我们开发了一种靶向762个核基因的诱饵试剂盒,其中包括专门为紫葳科选择的329个基因;从被子植物353中获得的348个基因,并针对该科设计了诱饵;以及85个已知功能的低拷贝基因。平均而言,77.4%的 reads 映射到目标基因,每个物种获得755个基因。在去除具有推定旁系同源物的基因后,677个位点用于系统发育分析。在仅外显子数据集中对靶向基因进行比较和合并,在超级重叠群数据集中对靶向 + 非靶向区域进行合并。我们使用紫葳科36个不同物种的38个标本,在从科到种的不同分类水平上测试了诱饵试剂盒的性能,这些标本代表:1)八个族级分支中的六个(例如,紫葳族、木蝴蝶族、紫铆族联盟、古热带分支、硬骨凌霄族和蓝花楹族),仅旋花茄族和梓树族未被采样;2)紫葳族的所有20个属;3)九个物种中的七个(例如, 、 、 、 、 、 和 ),仅 和 未被采样;以及4) 的三个个体。我们的数据在不同分类尺度上重建了一个支持度良好的紫葳科系统发育树,为整个科的全面系统发育框架开辟了新的视角。