Published June 10, 2022 | Version v1
Dataset Open

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

  • 1. University of Cambridge
  • 2. Museum of New Zealand Te Papa Tongarewa
  • 3. Carl von Ossietzky-University, Oldenburg
  • 4. Manaaki Whenua –Landcare Research Otago

Description

Includes alignments and trees for the analysis found in Thomas et al. 2021, Using target sequence capture to improve the phylogenetic resolution of a rapid radiation in New Zealand Veronica; American Journal of Botany, Special Issue: Exploring Angiosperms353: a Universal Toolkit for Flowering Plant Phylogenomics. Alignments comprise subsets of Angiosperms353 genes given each filtering scheme (full, intersection, sortadate_BP, sortadate_TL) and gene type/subset (exons, introns, supercontigs), and for markers downloaded from GenBank, as explained in the Methods section of Thomas et al. 2021. Trees were included for each of these alignments from IQtree and Astral; SVDquartets tree was only estimated for the full set of supercontigs. Gene trees were generated with IQtree. Tree files are named differently than the final manuscript; refer to the number of genes specified in Fig 1 of Thomas et al, 2021 and specified in each filename to identify filtering scheme. Raw sequence reads are available on the Sequence Read Archive at http://www.ncbi.nlm.nih.gov/bioproject/715342.

Notes

Funding came from Society of Systematic Biologists; Linnean Society of London; Gates Cambridge Trust; Newnham College, University of Cambridge; and Department of Plant Sciences, University of Cambridge.

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manuscript_alignments.zip

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