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使用ggtree对进化树进行可视化

使用ggtree对进化树进行可视化

作者: Davey1220 | 来源:发表于2019-03-15 21:05 被阅读9次
    ### 加载所需R包
    # if (!requireNamespace("BiocManager", quietly = TRUE))
    #     install.packages("BiocManager")
    # BiocManager::install("ggtree", version = "3.8")
    library(ggplot2)
    library(ggtree)
    ### 设置工作路径
    setwd("/Users/liang/Desktop/")
    # 清除当前环境中的变量
    rm(list=ls())
    
    # 使用read.newick函数读取nwk格式的树文件
    # nodel.label="support"参数在读取nwk格式的树文件时可以存入bootstrap值
    tree <- read.newick("RAxML_bipartitions.concatenation_out.nwk",node.label = "support")
    ggtree(tree)
    
    image.png
    ggtree(tree, color="firebrick", size=1, linetype="dotted")
    
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    # 默认情况下,树以ladderize形式查看,可以设置参数ladderize = FALSE以禁用它
    ggtree(tree, ladderize=FALSE)
    
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    设置branch.length="none"只查看树的拓扑结构
    ggtree(tree, branch.length="none")
    
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    # layout参数设置不同的展示布局,默认为“rectangular”
    ggtree(tree, layout="rectangular") + ggtitle("rectangular (phylogram)")
    ggtree(tree, layout="rectangular",branch.length = "none") + ggtitle("rectangular (cladogram)")
    ggtree(tree, layout="slanted") + ggtitle("slanted (phylogram)")
    ggtree(tree, layout="circular") + ggtitle("circular (phylogram)")
    ggtree(tree, layout="circular",branch.length = "none") + ggtitle("circular (cladogram)")
    ggtree(tree, layout="fan", open.angle=160) + ggtitle("fan (phylogram)")
    ggtree(tree, layout="equal_angle") + ggtitle("equal angle (unrooted)")
    ggtree(tree, layout="daylight") + ggtitle("daylight (unrooted)")
    ggtree(tree, layout="daylight",branch.length = "none") + ggtitle("daylight (cladogram)")
    
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    显示树的尺度和时间标度
    ggtree(tree) + geom_treescale()
    ggtree(tree) + theme_tree2()
    ggtree(tree) + geom_treescale(fontsize=8, linesize=1, offset=-0.5) + theme_tree2()
    
    image.png
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    # 显示树的节点和节点标签
    # 使用geom_nodepoint,geom_tippoint或者geom_point添加内部节点
    ggtree(tree) + geom_point(aes(shape=isTip, color=isTip), size=3)
    
    image.png
    ggtree(tree) + geom_nodepoint(color="#b5e521", alpha=1/4, size=10)
    
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    ggtree(tree) + geom_tippoint(color="#FDAC4F", shape=8, size=3)
    
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    ggtree(tree) + geom_nodepoint(color="#b5e521", alpha=1/4, size=10)+ geom_tippoint(color="#FDAC4F", shape=8, size=3)
    
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    # 使用geom_nodelab和geom_tiplab显示节点标签
    ggtree(tree) + geom_nodepoint(color="#b5e521", alpha=1/4, size=10) + geom_tiplab(size=3, color="purple") + xlim(0,0.5)
    
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    ggtree(tree) + geom_tiplab(size=3, color="purple") + xlim(0,0.5) + geom_nodelab(aes(subset=!isTip,label=node),hjust=-.3,color="red")
    
    image.png
    # 设置不同的主题
    ggtree(tree, color="red") + theme_tree("steelblue")
    
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    ggtree(tree, color="purple") + theme_tree("black")
    
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    # 显示树上所有节点的序号
    ggtree(tree) + geom_text2(aes(label=node),hjust=-.3,color="red")
    
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    # 只显示内部节点的序号
    ggtree(tree) + geom_text2(aes(subset=!isTip,label=node),hjust=-.3,color="red")
    
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    # 给指定节点的clade添加标签
    ggtree(tree) + geom_text(aes(label=node),hjust=-.3,color="red") + geom_cladelabel(node=19,label="A",barsize = 1,color="blue")
    
    image.png
    # 高亮指定节点所对应的区域
    ggtree(tree) + geom_text(aes(label=node),hjust=-.3,color="red") + geom_hilight(node=16,fill = "blue",alpha = 0.6)
    
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    ggtree(tree) + geom_hilight(node=19,fill = "blue",alpha = 0.6) + geom_hilight(node=14,fill = "red",alpha = 0.6)
    
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    # 在两个节点之间添加线段和标记
    ggtree(tree) + geom_text(aes(label=node),hjust=-.3,color="red") + geom_strip(13,19,barsize = 2,color="red",label="A")
    
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    # 添加bootstrap值和节点标记
    ggtree(tree,color="black",linetype=1,size=1.5,ladderize = T) + xlim(0,0.6) +
      geom_tiplab(hjust = -0.05,size=5,fontface="italic") + 
      geom_text2(aes(subset=!isTip,label=support,color=support, hjust=-0.5),size=4) + 
      geom_point2(aes(subset=!isTip),fill="red",shape=21,size=4) +
      scale_color_gradient(high='red', low='darkgreen') + theme(legend.position='right')
    
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    sessionInfo()
    ## R version 3.5.1 (2018-07-02)
    ## Platform: x86_64-apple-darwin15.6.0 (64-bit)
    ## Running under: OS X El Capitan 10.11.3
    ## 
    ## Matrix products: default
    ## BLAS: /Library/Frameworks/R.framework/Versions/3.5/Resources/lib/libRblas.0.dylib
    ## LAPACK: /Library/Frameworks/R.framework/Versions/3.5/Resources/lib/libRlapack.dylib
    ## 
    ## locale:
    ## [1] zh_CN.UTF-8/zh_CN.UTF-8/zh_CN.UTF-8/C/zh_CN.UTF-8/zh_CN.UTF-8
    ## 
    ## attached base packages:
    ## [1] stats     graphics  grDevices utils     datasets  methods   base     
    ## 
    ## other attached packages:
    ## [1] bindrcpp_0.2.2 ggtree_1.12.7  ggplot2_3.0.0 
    ## 
    ## loaded via a namespace (and not attached):
    ##  [1] Rcpp_0.12.18     pillar_1.3.0     compiler_3.5.1   plyr_1.8.4      
    ##  [5] bindr_0.1.1      tools_3.5.1      digest_0.6.16    jsonlite_1.5    
    ##  [9] tidytree_0.1.9   evaluate_0.11    tibble_1.4.2     gtable_0.2.0    
    ## [13] nlme_3.1-137     lattice_0.20-35  pkgconfig_2.0.2  rlang_0.2.2     
    ## [17] rstudioapi_0.7   rvcheck_0.1.0    parallel_3.5.1   yaml_2.2.0      
    ## [21] treeio_1.4.3     withr_2.1.2      dplyr_0.7.6      stringr_1.3.1   
    ## [25] knitr_1.20       rprojroot_1.3-2  grid_3.5.1       tidyselect_0.2.4
    ## [29] glue_1.3.0       R6_2.2.2         rmarkdown_1.10   tidyr_0.8.1     
    ## [33] purrr_0.2.5      magrittr_1.5     backports_1.1.2  scales_1.0.0    
    ## [37] htmltools_0.3.6  assertthat_0.2.0 colorspace_1.3-2 ape_5.1         
    ## [41] labeling_0.3     stringi_1.2.4    lazyeval_0.2.1   munsell_0.5.0   
    ## [45] crayon_1.3.4
    

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        本文标题:使用ggtree对进化树进行可视化

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