Using target sequence capture to improve the phylogenetic resolution of a rapid radiation in New Zealand Veronica

Authors:
Open Access
Publisher website
Google Scholar
Abstract
PREMISE: Recent, rapid radiations present a challenge for phylogenetic reconstruction. Fast successive speciation events typically lead to low sequence divergence and poorly resolved relationships with standard phylogenetic markers. Target sequence capture of many independent nuclear loci has the potential to improve phylogenetic resolution for rapid radiations.METHODS: Here we applied target sequence capture with 353 protein‐coding genes (Angiosperms353 bait kit) to Veronica sect. Hebe (common name hebe) to determine its utility for improving the phylogenetic resolution of rapid radiations. Veronica section Hebe originated 5–10 million years ago in New Zealand, forming a monophyletic radiation of ca 130 extant species.RESULTS: We obtained approximately 150 kbp of 353 protein‐coding exons and an additional 200 kbp of flanking noncoding sequences for each of 77 hebe and two outgroup species. When comparing coding, noncoding, and combined data sets, we found that the latter provided the best overall phylogenetic resolution. While some deep nodes in the radiation remained unresolved, our phylogeny provided broad and often improved support for subclades identified by both morphology and standard markers in previous studies. Gene‐tree discordance was nonetheless widespread, indicating that additional methods are needed to disentangle fully the history of the radiation.CONCLUSIONS: Phylogenomic target capture data sets both increase phylogenetic signal and deliver new insights into the complex evolutionary history of rapid radiations as compared with traditional markers. Improving methods to resolve remaining discordance among loci from target sequence capture is now important to facilitate the further study of rapid radiations.
Funding Information
  • Linnean Society of London (Systematics Research Fund 2019)
  • Gates Cambridge Trust (Gates Cambridge Scholarship 2018)
  • Newnham College, University of Cambridge (Graduate Research Fund 2019)
  • Society of Systematic Biologists (2019 Graduate Student Research Award)

This publication has 81 references indexed in Scilit: