Phylogenomics and macroevolution of a florally diverse Neotropical plant clade
Data files
Oct 21, 2025 version files 4.99 MB
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Alignments_nexus.zip
2.47 MB
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gene_trees.tre
2.51 MB
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Hillieae_RAxML_rooted.tre
2.59 KB
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Hillieae_time_tree.tre
880 B
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Hillieae_wASTRAL_rooted.tre
2.45 KB
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README.md
2.88 KB
Abstract
Hillieae is a group of ~30 florally diverse, Neotropical epiphyte species. Species richness peaks in southern Central America, and taxa display bat, hawkmoth, or hummingbird pollination syndromes. A phylogenetic framework is needed to understand floral and biogeographic evolution. We used target enrichment data to infer a species tree and a Bayesian time-calibrated tree including ~83% of the species in the group. We inferred ancestral biogeography and pollination syndromes, described species realized bioclimatic niches via a principal component analysis, and estimated significant niche shifts using Ornstein-Uhlenbeck models to understand how different abiotic and biotic variables have shaped Hillieae evolution. We estimated that Hillieae originated in southern Central America 19 Ma and that hawkmoth pollination is the ancestral character state. Multiple independent shifts in pollination syndrome, biogeographic distribution, and realized bioclimatic niche have occurred, though the bioclimatic niche is largely conserved. Using generalized linear models, we identify two interactions— between species' biogeographic ranges and pollination syndromes, and between phylogenetic covariance and pollination syndromes— that additively affect the degree of bioclimatic niche overlap between species. Regional variation in pollination syndrome diversity and patterns of species bioclimatic niche overlap indicate a link between biogeography and species ecology in driving Hillieae diversification and syndrome evolution.
Dataset DOI: 10.5061/dryad.4mw6m90k6
Description of the data and file structure
This dataset includes cleaned and filtered multiple sequence alignments in nexus format, gene trees and species trees. Sequences were aligned using the program macse (version 2.07; Ranwez et al. 2018) under default settings, and the alignments were cleaned with the programs TAPER (version 1.1.1; Zhang et al. 2021), phyx (version 1.1; Brown et al. 2017), and trimAl (version 1.2; Capella-Gutiérrez et al. 2009), after being visually inspected with Geneious Prime (version 2021.1.1). Gene trees were inferred with RAxML-NG (Kozlov et al. 2019) under the GTR+G nucleotide evolution model. We inferred two species trees: a concatenated sequence tree using the program RAxML-NG, and a tree inferred under the multispecies coalescent model with weighted-ASTRAL (i.e., wASTRAL; Zhang and Mirarab 2022). The wASTRAL tree was time-calibrated with RevBayes (version 1.2.1; Höhna et al. 2016).
Files and variables
File: Hillieae_wASTRAL_rooted.tre
Description: Rooted species tree inferred with weighted-ASTRAL
File: Hillieae_RAxML_rooted.tre
Description: Rooted concatenated sequence tree inferred with RAxML-NG
File: gene_trees.tre
Description: Unrooted gene trees inferred with RAxML-NG
File: Alignments_nexus.zip
Description: Cleaned multiple sequence alignments (DNA) for 1375 loci, in nexus format. Alignments include 25–42 taxa and are of 99–4791 bp in length. Alignment gaps are represented with dashes.
File: Hillieae_time_tree.tre
Description: Rooted and time-calibrated species tree
Code/software
- Programs needed
- RAxML-NG
- Kozlov, A. M., Darriba, D., Flouri, T., Morel, B., & Stamatakis, A. (2019). RAxML-NG: a fast, scalable and user-friendly tool for maximum likelihood phylogenetic inference. Bioinformatics, 35(21), 4453-4455.
- Weighted-ASTRAL (wASTRAL)
- Zhang, C., & Mirarab, S. (2022). Weighting by gene tree uncertainty improves accuracy of quartet-based species trees. Molecular biology and evolution, 39(12), msac215.
- RevBayes
- Höhna, S., Landis, M. J., Heath, T. A., Boussau, B., Lartillot, N., Moore, B. R., ... & Ronquist, F. (2016). RevBayes: Bayesian phylogenetic inference using graphical models and an interactive model-specification language. Systematic biology, 65(4), 726-736.
- RAxML-NG
Access information
Other publicly accessible locations of the data:
- Figshare: https://doi.org/10.6084/m9.figshare.26110573.v1
- Data and scripts are also provided via GitHub: https://github.com/laymonb/Hillieae_macroevolution
