---
title: "Tree Annotation"
author: "\\
Guangchuang Yu (<guangchuangyu@gmail.com>) and Tommy Tsan-Yuk Lam (<ttylam@hku.hk>)\\
School of Public Health, The University of Hong Kong"
date: "`r Sys.Date()`"
bibliography: ggtree.bib
csl: nature.csl
output:
html_document:
toc: true
pdf_document:
toc: true
vignette: >
%\VignetteIndexEntry{04 Tree Annotation}
%\VignetteEngine{knitr::rmarkdown}
%\usepackage[utf8]{inputenc}
---
```{r style, echo=FALSE, results="asis", message=FALSE}
knitr::opts_chunk$set(tidy = FALSE,
message = FALSE)
```
```{r echo=FALSE, results="hide", message=FALSE}
library("ape")
library("ggplot2")
library("ggtree")
```
# Rescale tree
Most of the phylogenetic trees are scaled by evolutionary distance (substitution/site). In `ggtree`, users can re-scale a phylogenetic tree by any numerical variable inferred by evolutionary analysis (e.g. *dN/dS*).
```{r fig.width=10, fig.height=5}
beast_file <- system.file("examples/MCC_FluA_H3.tree", package="ggtree")
beast_tree <- read.beast(beast_file)
beast_tree
p1 <- ggtree(beast_tree, mrsd='2013-01-01') + theme_tree2() +
ggtitle("Divergence time")
p2 <- ggtree(beast_tree, branch.length = 'rate') + theme_tree2() +
ggtitle("Substitution rate")
multiplot(p1, p2, ncol=2)
```
```{r fig.width=10, fig.height=5}
mlcfile <- system.file("extdata/PAML_Codeml", "mlc", package="ggtree")
mlc_tree <- read.codeml_mlc(mlcfile)
p1 <- ggtree(mlc_tree) + theme_tree2() +
ggtitle("nucleotide substitutions per codon")
p2 <- ggtree(mlc_tree, branch.length='dN_vs_dS') + theme_tree2() +
ggtitle("dN/dS tree")
multiplot(p1, p2, ncol=2)
```
In addition to specify `branch.length` in tree visualization, users can change branch length stored in tree object by using `rescale_tree` function.
```{r}
beast_tree2 <- rescale_tree(beast_tree, branch.length = 'rate')
ggtree(beast_tree2) + theme_tree2()
```
# Zoom on a portion of tree
`ggtree` provides _`gzoom`_ function that similar to _`zoom`_ function provided in `ape`. This function plots simultaneously a whole phylogenetic tree and a portion of it. It aims at exploring very large trees.
```{r fig.width=18, fig.height=10, fig.align="center"}
library("ape")
data(chiroptera)
library("ggtree")
gzoom(chiroptera, grep("Plecotus", chiroptera$tip.label))
```
Zoom in selected clade of a tree that was already annotated with `ggtree` is also supported.
```{r fig.width=18, fig.height=10, warning=FALSE}
groupInfo <- split(chiroptera$tip.label, gsub("_\\w+", "", chiroptera$tip.label))
chiroptera <- groupOTU(chiroptera, groupInfo)
p <- ggtree(chiroptera, aes(color=group)) + geom_tiplab() + xlim(NA, 23)
gzoom(p, grep("Plecotus", chiroptera$tip.label), xmax_adjust=2)
```
# Color tree
In `ggtree`, coloring phylogenetic tree is easy, by using `aes(color=VAR)` to map the color of tree based on a specific variable (numeric and category are both supported).
```{r fig.width=5, fig.height=5}
ggtree(beast_tree, aes(color=rate)) +
scale_color_continuous(low='darkgreen', high='red') +
theme(legend.position="right")
```
User can use any feature (if available), including clade posterior and *dN/dS* _etc._, to scale the color of the tree.
# Annotate clades
`ggtree` implements _`geom_cladelabel`_ layer to annotate a selected clade with a bar indicating the clade with a corresponding label.
The _`geom_cladelabel`_ layer accepts a selected internal node number. To get the internal node number, please refer to [Tree Manipulation](treeManipulation.html#internal-node-number) vignette.
```{r}
set.seed(2015-12-21)
tree = rtree(30)
p <- ggtree(tree) + xlim(NA, 6)
p+geom_cladelabel(node=45, label="test label") +
geom_cladelabel(node=34, label="another clade")
```
Users can set the parameter, `align = TRUE`, to align the clade label, and use the parameter, `offset`, to adjust the position.
```{r}
p+geom_cladelabel(node=45, label="test label", align=TRUE, offset=.5) +
geom_cladelabel(node=34, label="another clade", align=TRUE, offset=.5)
```
Users can change the color of the clade label via the parameter `color`.
```{r}
p+geom_cladelabel(node=45, label="test label", align=T, color='red') +
geom_cladelabel(node=34, label="another clade", align=T, color='blue')
```
Users can change the `angle` of the clade label text and relative position from text to bar via the parameter `offset.text`.
```{r}
p+geom_cladelabel(node=45, label="test label", align=T, angle=270, hjust='center', offset.text=.5) +
geom_cladelabel(node=34, label="another clade", align=T, angle=45)
```
The size of the bar and text can be changed via the parameters `barsize` and `fontsize` respectively.
```{r}
p+geom_cladelabel(node=45, label="test label", align=T, angle=270, hjust='center', offset.text=.5, barsize=1.5) +
geom_cladelabel(node=34, label="another clade", align=T, angle=45, fontsize=8)
```
Users can also use `geom_label` to label the text.
```{r}
p+ geom_cladelabel(node=34, label="another clade", align=T, geom='label', fill='lightblue')
```
# Highlight clades
`ggtree` implements _`geom_hilight`_ layer, that accepts an internal node number and add a layer of rectangle to highlight the selected clade.
```{r fig.width=5, fig.height=5, fig.align="center", warning=FALSE}
nwk <- system.file("extdata", "sample.nwk", package="ggtree")
tree <- read.tree(nwk)
ggtree(tree) + geom_hilight(node=21, fill="steelblue", alpha=.6) +
geom_hilight(node=17, fill="darkgreen", alpha=.6)
```
```{r fig.width=5, fig.height=5, fig.align="center", warning=FALSE}
ggtree(tree, layout="circular") + geom_hilight(node=21, fill="steelblue", alpha=.6) +
geom_hilight(node=23, fill="darkgreen", alpha=.6)
```
Another way to highlight selected clades is setting the clades with different colors and/or line types as demonstrated in [Tree Manipulation](treeManipulation.html#groupclade) vignette.
# Highlight balances
In addition to _`geom_hilight`_, `ggtree` also implements _`geom_balance`_
which is designed to highlight neighboring subclades of a given internal node.
```{r fig.width=4, fig.height=5, fig.align='center', warning=FALSE}
ggtree(tree) +
geom_balance(node=16, fill='steelblue', color='white', alpha=0.6, extend=1) +
geom_balance(node=19, fill='darkgreen', color='white', alpha=0.6, extend=1)
```
# labelling associated taxa (Monophyletic, Polyphyletic or Paraphyletic)
`geom_cladelabel` is designed for labelling Monophyletic (Clade) while there are related taxa that are not form a clade. `ggtree` provides `geom_strip` to add a strip/bar to indicate the association with optional label (see [the issue](https://github.com/GuangchuangYu/ggtree/issues/52)).
```{r fig.width=5, fig.height=5, fig.align="center", warning=FALSE}
ggtree(tree) + geom_tiplab() + geom_strip(5, 7, barsize=2, color='red') + geom_strip(6, 12, barsize=2, color='blue')
```
# taxa connection
Some evolutionary events (e.g. reassortment, horizontal gene transfer) can be modeled by a simple tree. `ggtree` provides `geom_taxalink` layer that allows drawing straight or curved lines between any of two nodes in the tree, allow it to represent evolutionary events by connecting taxa.
```{r fig.width=5, fig.height=5, fig.align="center", warning=FALSE}
ggtree(tree) + geom_tiplab() + geom_taxalink('A', 'E') + geom_taxalink('F', 'K', color='red', arrow=grid::arrow(length = grid::unit(0.02, "npc")))
```
# Tree annotation with analysis of R packages
## annotating tree with ape bootstraping analysis
```{r results='hide', message=FALSE}
library(ape)
data(woodmouse)
d <- dist.dna(woodmouse)
tr <- nj(d)
bp <- boot.phylo(tr, woodmouse, function(xx) nj(dist.dna(xx)))
```
```{r fig.width=6, fig.height=6, warning=FALSE, fig.align="center"}
tree <- apeBoot(tr, bp)
ggtree(tree) + geom_label(aes(label=bootstrap)) + geom_tiplab()
```
## annotating tree with phangorn output
```{r results='hide', message=FALSE, fig.width=12, fig.height=10, width=60, warning=FALSE, fig.align="center", eval=FALSE}
library(phangorn)
treefile <- system.file("extdata", "pa.nwk", package="ggtree")
tre <- read.tree(treefile)
tipseqfile <- system.file("extdata", "pa.fas", package="ggtree")
tipseq <- read.phyDat(tipseqfile,format="fasta")
fit <- pml(tre, tipseq, k=4)
fit <- optim.pml(fit, optNni=FALSE, optBf=T, optQ=T,
optInv=T, optGamma=T, optEdge=TRUE,
optRooted=FALSE, model = "GTR")
phangorn <- phyPML(fit, type="ml")
ggtree(phangorn) + geom_text(aes(x=branch, label=AA_subs, vjust=-.5))
```
# Tree annotation with output from evolution software
In `ggtree`, we implemented several parser functions to parse output from commonly used software package in evolutionary biology, including:
+ [BEAST](http://beast2.org/)[@bouckaert_beast_2014]
+ [EPA](http://sco.h-its.org/exelixis/web/software/epa/index.html)[@berger_EPA_2011]
+ [HYPHY](http://hyphy.org/w/index.php/Main_Page)[@pond_hyphy_2005]
+ [PAML](http://abacus.gene.ucl.ac.uk/software/paml.html)[@yang_paml_2007]
+ [PHYLDOG](http://pbil.univ-lyon1.fr/software/phyldog/)[@boussau_genome-scale_2013]
+ [pplacer](http://matsen.fhcrc.org/pplacer/)[@matsen_pplacer_2010]
+ [r8s](http://loco.biosci.arizona.edu/r8s/)[@marazzi_locating_2012]
+ [RAxML](http://sco.h-its.org/exelixis/web/software/raxml/)[@stamatakis_raxml_2014]
+ [RevBayes](http://revbayes.github.io/intro.html)[@hohna_probabilistic_2014]
Evolutionary evidences inferred by these software packages can be used for further analysis in `R` and annotating phylogenetic tree directly in `ggtree`. For more details, please refer to the [Tree Data Import](treeImport.html) vignette.
# Tree annotation with user specified annotation
## the `%<+%` operator
In addition to parse commonly used software output, `ggtree` also supports annotating a phylogenetic tree using user's own data.
Suppose we have the following data that associate with the tree and would like to attach the data in the tree.
```{r}
nwk <- system.file("extdata", "sample.nwk", package="ggtree")
tree <- read.tree(nwk)
p <- ggtree(tree)
dd <- data.frame(taxa = LETTERS[1:13],
place = c(rep("GZ", 5), rep("HK", 3), rep("CZ", 4), NA),
value = round(abs(rnorm(13, mean=70, sd=10)), digits=1))
## you don't need to order the data
## data was reshuffled just for demonstration
dd <- dd[sample(1:13, 13), ]
row.names(dd) <- NULL
```
```{r eval=FALSE}
print(dd)
```
```{r echo=FALSE, results='asis'}
knitr::kable(dd)
```
We can imaging that the _`place`_ column stores the location that we isolated the species and _`value`_ column stores numerical values (e.g. bootstrap values).
We have demonstrated using the operator, _`%<%`_, to update a tree view with a new tree. Here, we will introduce another operator, _`%<+%`_, that attaches annotation data to a tree view. The only requirement of the input data is that its first column should be matched with the node/tip labels of the tree.
After attaching the annotation data to the tree by _`%<+%`_, all the columns in the data are visible to _`ggtree`_. As an example, here we attach the above annotation data to the tree view, _`p`_, and add a layer that showing the tip labels and colored them by the isolation site stored in _`place`_ column.
```{r fig.width=6, fig.height=5, warning=FALSE, fig.align="center"}
p <- p %<+% dd + geom_tiplab(aes(color=place)) +
geom_tippoint(aes(size=value, shape=place, color=place), alpha=0.25)
p+theme(legend.position="right")
```
Once the data was attached, it is always attached. So that we can add other layers to display these information easily.
```{r fig.width=6, fig.height=5, warning=FALSE, fig.align="center"}
p + geom_text(aes(color=place, label=place), hjust=1, vjust=-0.4, size=3) +
geom_text(aes(color=place, label=value), hjust=1, vjust=1.4, size=3)
```
## phylo4d
`phylo4d` was defined in the `phylobase` package, which can be employed to integrate user's data with phylogenetic tree. `phylo4d` was supported in `ggtree` and the data stored in the object can be used directly to annotate the tree.
```{r fig.width=6, fig.height=5, warning=FALSE, fig.align="center", eval=FALSE}
dd2 <- dd[, -1]
rownames(dd2) <- dd[,1]
require(phylobase)
tr2 <- phylo4d(tree, dd2)
ggtree(tr2) + geom_tiplab(aes(color=place)) +
geom_tippoint(aes(size=value, shape=place, color=place), alpha=0.25)
```
## jplace file format
`ggtree` provides `write.jplace()` function to store user's own data and associated newick tree to a single `jplace` file, which can be parsed directly in `ggtree` and user's data can be used to annotate the tree directly. For more detail, please refer to the [Tree Data Import](treeImport.html#jplace-file-format) vignette.
# Advance tree annotation
Advance tree annotation including visualizing phylogenetic tree with associated matrix and multiple sequence alignment; annotating tree with subplots and images (especially PhyloPic). For details and examples, please refer to the [Advance Tree Annotation](advanceTreeAnnotation.html) vignette.
# Interactive tree annotation
Interactive tree annotation is also possible, please refer to <https://guangchuangyu.github.io/2016/06/identify-method-for-ggtree>.
# References