绘制进化树的方法有很多,入门的MEGA,iTOL,evolview等,但是没有一个如ggtree这般高效简单,轻轻松松绘制高端进化树,废话不多说,直接看代码 关注公众号"R语言数据分析指南",后台回复"tree"获取实例文件及完整代码
mafft进行多序列比对
mafft --maxiterate 1000 --globalpair pip.fa > tree.fasta
fasttree构建系统发育树
# 核酸序列比对
fasttree -nt -gtr -gamma tree.fasta > tree.nwk
#蛋白序列比对
fasttree tree.fasta > tree.nwk
ggtree构建系统发育树
rm(list = ls())
library(pacman)
pacman::p_load(ggplot2,ggstar,ggtreeExtra,ggtree,
treeio,ggnewscale,ggsci); options(warn = -1)
tree <- read.newick("tree.nwk",node.label = "support")
node.label = "support"将node label解析为support value,另存为树注释数据
读入分组文件用于绘制条形图,并按分组添加颜色
group <- read.table("tree_group.txt",header = T,sep="\t")
group_file <- read.table("tree_group.txt",header = T,row.names = 1)
groupInfo <- split(row.names(group_file), group_file$Group)
tree <- groupOTU(tree, groupInfo)
绘制进化树主干
p <- ggtree(tree,branch.length = "none",layout = "circular",
linetype=1,size=1,ladderize = F,aes(color=group))+
#geom_text(aes(label=node), hjust=-3,size=1) +
#展示节点信息,并根据节点信息添加外圈分组
scale_color_npg()+guides(color=FALSE)+guides(color=FALSE)
geom_fruit(data=group, geom=geom_bar,
mapping=aes(y=Sample, x=Length,fill=Group),
orientation="y",stat="identity",color="white")+
scale_fill_npg()+labs(fill = "")+new_scale_fill()
添加分组信息
p + geom_strip(53,116, label = "Group I",align = T,
alpha=.8,family="Times",fontsize=4,offset = 3,
color = "orange",offset.text = 2 ,hjust="center",
barsize = 4,extend = 0.5)+
geom_strip(35,52,label = "Group II",align = T,
alpha=.8,family="Times",offset = 3,
color = "green",offset.text = 2 ,fontsize=4,hjust="center",
barsize = 4,extend = 0.5,angle = 45)+
geom_strip(20,34,label = "Group III",align = T,
alpha=.8,family="Times",offset = 3,color = "red",
offset.text = 2 ,fontsize=4,hjust="center",
barsize =4,extend = 0.5)+
geom_strip(1,19,label ="Group IV",align = T,
alpha=.8,family="Times",offset = 3,color = "blue",
offset.text = 2 ,fontsize=4,hjust="center",barsize = 4,
extend = 0.5,angle=-60)+
#geom_tiplab(hjust = -.5,size=3,fontface="plain")+
#设置标签显示
geom_point2(aes(subset=!isTip,fill=support),shape=21,size=2)+
scale_fill_continuous(low='green', high='red')+
labs(fill = "bootstrap")
library(ggpubr)
library(tidyverse)
tibble(函数= c("geom_strip", "geom_tiplab()","geom_fruit()",
"offset.text","extend","offset","hjust=center"),
功能= c("根据节点添加外部条带,后跟节点位置信息",
"设置标签显示","绘制条形","调整label位置",
"调整条带之间间距","设置距离节点的位置","将lable居中放置")) %>%
ggtexttable(rows = NULL, theme = ttheme("mBlue"))
参考:https://rdrr.io/bioc/ggtree/man/geom_strip.htmlhttps://bioconductor.org/packages/devel/bioc/vignettes/ggtreeExtra/inst/doc/ggtreeExtra.htmlhttp://yulab-smu.top/treedata-book/

