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Data from: Molecular phylogenetics of Distephanus supports the recognition of a new tribe, Distephaneae (Asteraceae)

Cite this dataset

Gostel, Morgan et al. (2024). Data from: Molecular phylogenetics of Distephanus supports the recognition of a new tribe, Distephaneae (Asteraceae) [Dataset]. Dryad. https://doi.org/10.5061/dryad.vq83bk41c

Abstract

The genus Distephanus Cass. comprises 43 distinctive species of shrubs and small trees that have been placed historically within the ironweed tribe, Vernonieae (Asteraceae). Utilizing the most expansive sampling of Distephanus to date, this study aims to test the monophyly of this genus and facilitate its classification. Molecular phylogenetic analyses were conducted using four molecular markers from the nuclear and plastid genomes. These data also supported divergence dating analyses that were performed to understand the timing of diversification events within Distephanus and other related genera. Results from this study indicate that as currently circumscribed, Vernonieae is not monophyletic and that Distephanus is actually sister to a clade that comprises Vernonieae and another tribe, Moquinieae, which only includes two species restricted to Brazil. Based on these findings, Distephanus is recognized in a new tribe that we describe here, Distephaneae. This new tribe comprises 41 species of Disptehanus that are easily distinguished from Moquinieae and Vernonieae based on the presence of florets with yellow corollas and trinervate leaves.

README: Data accompanying Molecular phylogenetics of Distephanus supports the recognition of a new tribe, Distephaneae (Asteraceae)

https://doi.org/10.5061/dryad.vq83bk41c

Description of the data and file structure

This data includes all multiple sequence alignments for each locus analyzed in this manuscript as well as corresponding configuration files for time-calibrated divergence dating analysis conducted using BEAST (.xml) and the script + geographic area definition file for ancestral area reconstruction analysis in BioGeoBEARS (BGB_Script_Feb2024.txt and geog.data).

Each .fasta file corresponds to the multiple sequence alignment for each molecular marker used analyzed in this study, as follows:

ITS_Final.fasta is a multiple sequence alignment for all sequences analyzed from the nuclear ribosomal ITS region.

ndhF_Final.fasta is a multiple sequence alignment for all sequences analyzed from the plastid ndhF region.

psbA_Final.fasta is a multiple sequence alignment for all sequences analyzed from the plastid psbA-trnH spacer.

trnL_Final.fasta is a multiple sequence alignment for all sequences analyzed from the plastid trnL-F spacer.

The BGB_Script_Feb2024.txt includes the complete script used to conduct ancestral area analyses using BioGeoBEARS and is written for the R programming language. 

Sharing/Access information

All sequence data has been submitted to GenBank and Accession Numbers are provided in the Appendix of the manuscript (which is also in the "Supplementary Information" related work of this dataset).

Methods

Sequence data was collected from whole genomic DNA extracted from silica-preserved leaf tissue. Sequences were generated using Sanger dideoxy chain termination chemistry and chromatogram data were subsequently checked for accuracy using the software Geneious. Chromatogram data were assembled into contigs from the forward and reverse sequence and alignments for each locus were assembled using the software MAFFT. Phylogenetic reconstruction from sequence data was performed using the software IQ-TREE and MrBayes. A time-calibrated divergence dating analysis was carried out using BEAST and ancestral area reconstruction was carried out using BioGeoBEARS in R. 

Sequence data has been submitted to GenBank and Accession numbers are provided in the Appendix that accompanies this manuscript. This Dryad submission includes all multiple sequence alignments, BEAST .xml configuration files, and BioGeoBEARS scripts (as well as the accompanying geog.txt file for geographic area designation). 

Funding

National Science Foundation, Award: DEB-NERC#2210598, Systematics and Biodiversity Sciences

Global Genome Initiative, Award: GGI-SIBG-2016