ggtree

ggtree extends the ggplot2 plotting system to implement the grammar of graphics for phylogenetic trees. It is designed for the visualization, manipulation, and annotation of phylogenetic trees and other tree-like structures with their associated multi-omics and clinical metadata.

Dependencies & Environment

Package-intrinsic requirements from the Bioconductor landing page — reproduce in any R environment.

• Version: 4.2.0 · Bioconductor: 3.23 · R: ≥ 4.6
• Imports: ape, aplot, cli, dplyr, ggfun, ggiraph, ggplot2, magrittr, purrr, rlang, scales, tidyr, tidytree, treeio, yulab.utils
• Install: BiocManager::install("ggtree")

When to Use

• Visualizing complex phylogenetic trees (e.g., from RAxML, IQ-TREE, or BEAST) integrated with multi-omics metadata (such as microbiome abundance, genomic features, or clinical traits).
• Annotating tree nodes, clades, and leaves with custom shapes, colors, images, or subplots (e.g., barplots, pie charts) using the grammar of graphics.
• Displaying circular, radial, rectangular, or slanted tree layouts for large-scale evolutionary studies containing hundreds to thousands of taxa.

When NOT to Use

• For interactive, web-based tree exploration, use phylocanvas or iTOL instead because ggtree produces static vector graphics.
• For simple, quick tree plotting without complex annotations, use ape::plot.phylo instead because it has zero overhead and requires no ggplot2 syntax.
• For highly customized interactive network visualizations that are not strictly hierarchical, use ggnetwork or tidygraph instead because ggtree is optimized specifically for tree topologies.

Data Requirements

• Input format: Tree objects of class phylo (from ape), treedata (from treeio), or standard R dendrograms.
• Metadata: A data frame containing a column matching the tip labels of the tree.
• Scale: Supports trees from 10 to 10,000+ tips, though rendering times scale with taxon count.

Key Parameters

• layout ("rectangular"): Layout of the tree; options include "circular", "slanted", "fan", "radial", "unrooted", "equal_angle", or "daylight".
• ladderize (TRUE): Logical; whether to sort the branches to make the tree look more structured.
• branch.length ("branch.length"): Variable to determine branch lengths; set to "none" for cladograms with equal branch lengths.
• as.Date (FALSE): Logical; whether to parse the x-axis as dates for time-resolved (chronogram) trees.
• yscale (NULL): Variable used to scale the y-axis, useful for custom vertical spacing.

Best Practices

• Use the treeio package to import trees from diverse software formats (e.g., BEAST, MrBayes, NHX) to preserve node-level annotations.
• Attach external metadata using the %<+% operator to seamlessly map sample traits to tree tips or internal nodes.
• For large trees, use layout = "circular" or layout = "fan" to maximize space efficiency and prevent text overlap.
• Adjust label offsets and text sizes dynamically using geom_tiplab(offset = ...) to prevent labels from clipping outside the plot boundaries.

Common Pitfalls

• Tip labels overlapping or cut off: Occurs when tree margins are too small or labels are long; fix this by adding hexpand() or xlim() to extend the plot canvas.
• Metadata mapping failure: Occurs when the ID column in the metadata does not match the tip labels exactly; fix this by ensuring row.names or a specific ID column matches tree$tip.label.
• Slow rendering of large trees: Occurs when adding too many individual geom layers to a tree with >10,000 tips; fix this by collapsing clades using collapse() before plotting.

Alternatives

• ape: The foundational R phylogenetics package, faster for basic plotting but lacks ggplot2 integration.
• ggtreeExtra: An extension of ggtree designed specifically for presenting circular layouts with multiple rings of complex genomic data.
• phyloseq: Excellent for microbiome-specific tree plotting, but less flexible for general phylogenetic annotations than ggtree.
• tanggle: Specifically designed for visualizing phylogenetic networks rather than strict bifurcating trees.

Citations

• Yu, G., Smith, D. K., Zhu, H., Guan, Y., & Lam, T. T. Y. (2017). ggtree: an R package for visualization and annotation of phylogenetic trees with their covariates and other associated data. Methods in Ecology and Evolution, 8(1), 28-36.
• Yu, G. (2022). Integration, Manipulation and Visualization of Phylogenetic Trees (1st ed.). Chapman and Hall/CRC.

References

• Homepage: https://bioconductor.org/packages/ggtree
• Vignette: https://bioconductor.org/packages/release/bioc/vignettes/ggtree/inst/doc/ggtree.html

<!-- biomate-cta -->

---

Run this on BioMate

This skill is the knowledge layer — when, why, and how to use ggtree. To run this analysis on your own data with managed compute, automated QC, and reproducible outputs, use BioMate — free to start.

▶ Open ggtree on BioMate →