3 Exporting tree with data
3.1 Introduction
The treeio package (Wang et al. 2020) supports parsing various phylogenetic tree file formats including software outputs that contain evolutionary evidences. Some of the formats are just log file
(e.g. PAML
and r8s outputs), while some of the others are
non-standard formats (e.g. BEAST
and MrBayes outputs that introduce square
bracket, which was reserved to store comment in standard Nexus format, to store
inferences). With treeio, we are
now able to parse these files to extract phylogenetic tree and map associated
data on the tree structure. Exporting tree structure is easy, users can use
the as.phyo() method defined treeio to
convert a treedata object to a phylo object then using write.tree() or
write.nexus() implemented
in ape package
(Paradis, Claude, and Strimmer 2004) to export the tree structure as Newick text or Nexus file.
This is quite useful for converting non-standard formats to standard format and
for extracting tree from software outputs, such as log file.
However, exporting tree with associated data is still challenging. These associated data can be parsed from analysis programs or obtained from external sources (e.g. phenotypic data, experimental data and clinical data). The major obstacle here is that there is no standard format that designed for storing tree with data. NeXML (Vos et al. 2012) maybe the most flexible format, however it is currently not widely supported. Most of the analysis programs in this field rely extensively on Newick string and Nexus format. In my opinion, although BEAST Nexus format may not be the best solution, it is currently a good approach for storing heterogeneous associated data. The beauty of the format is that all the annotate elements are stored within square bracket, which is reserved for comments. So that the file can be parsed as standard Nexus by ignoring annotated elements and existing programs should be able to read it.
3.2 Exporting Tree Data to BEAST Nexus Format
3.2.1 Exporting/converting software output
The treeio package (Wang et al. 2020) provides the write.beast() function to export treedata object as BEAST Nexus file (Bouckaert et al. 2014).
With treeio, it is easy to convert
software output to BEAST format if the output can be parsed
by treeio (see Chapter 1). For example, we can
convert NHX file to BEAST file and use NHX tags to color the tree using
FigTree (Figure 3.1A) or convert CODEML output and use
dN/dS, dN or dS to color the tree in FigTree (Figure 3.1B).
Here is an example of converting NHX file to BEAST format:
nhxfile <- system.file("extdata/NHX", "phyldog.nhx", package="treeio")
nhx <- read.nhx(nhxfile)
# write.beast(nhx, file = "phyldog.tree")
write.beast(nhx)#NEXUS
[R-package treeio, Wed Dec 16 15:43:53 2020]
BEGIN TAXA;
DIMENSIONS NTAX = 16;
TAXLABELS
Prayidae_D27SS7@2825365
Kephyes_ovata@2606431
Chuniphyes_multidentata@1277217
Apolemia_sp_@1353964
Bargmannia_amoena@263997
Bargmannia_elongata@946788
Physonect_sp_@2066767
Stephalia_dilata@2960089
Frillagalma_vityazi@1155031
Resomia_ornicephala@3111757
Lychnagalma_utricularia@2253871
Nanomia_bijuga@717864
Cordagalma_sp_@1525873
Rhizophysa_filiformis@3073669
Hydra_magnipapillata@52244
Ectopleura_larynx@3556167
;
END;
BEGIN TREES;
TRANSLATE
1 Prayidae_D27SS7@2825365,
2 Kephyes_ovata@2606431,
3 Chuniphyes_multidentata@1277217,
4 Apolemia_sp_@1353964,
5 Bargmannia_amoena@263997,
6 Bargmannia_elongata@946788,
7 Physonect_sp_@2066767,
8 Stephalia_dilata@2960089,
9 Frillagalma_vityazi@1155031,
10 Resomia_ornicephala@3111757,
11 Lychnagalma_utricularia@2253871,
12 Nanomia_bijuga@717864,
13 Cordagalma_sp_@1525873,
14 Rhizophysa_filiformis@3073669,
15 Hydra_magnipapillata@52244,
16 Ectopleura_larynx@3556167
;
TREE * UNTITLED = [&R] (((1[&Ev=S,S=58,ND=0]:0.0682841,(2[&Ev=S,S=69,ND=1]:0.0193941,3[&Ev=S,S=70,ND=2]:0.0121378)[&Ev=S,S=60,ND=3]:0.0217782)[&Ev=S,S=36,ND=4]:0.0607598,((4[&Ev=S,S=31,ND=9]:0.11832,(((5[&Ev=S,S=37,ND=10]:0.0144549,6[&Ev=S,S=38,ND=11]:0.0149723)[&Ev=S,S=33,ND=12]:0.0925388,7[&Ev=S,S=61,ND=13]:0.077429)[&Ev=S,S=24,ND=14]:0.0274637,(8[&Ev=S,S=52,ND=15]:0.0761163,((9[&Ev=S,S=53,ND=16]:0.0906068,10[&Ev=S,S=54,ND=17]:1e-06)[&Ev=S,S=45,ND=18]:1e-06,((11[&Ev=S,S=65,ND=19]:0.120851,12[&Ev=S,S=71,ND=20]:0.133939)[&Ev=S,S=56,ND=21]:1e-06,13[&Ev=S,S=64,ND=22]:0.0693814)[&Ev=S,S=46,ND=23]:1e-06)[&Ev=S,S=40,ND=24]:0.0333823)[&Ev=S,S=35,ND=25]:1e-06)[&Ev=D,S=24,ND=26]:0.0431861)[&Ev=S,S=19,ND=27]:1e-06,14[&Ev=S,S=26,ND=28]:0.22283)[&Ev=S,S=17,ND=29]:0.0292362)[&Ev=D,S=17,ND=8]:0.185603,(15[&Ev=S,S=16,ND=5]:0.0621782,16[&Ev=S,S=15,ND=6]:0.332505)[&Ev=S,S=12,ND=7]:0.185603)[&Ev=S,S=9,ND=30];
END;Another example of converting CodeML output to BEAST format:
mlcfile <- system.file("extdata/PAML_Codeml", "mlc", package="treeio")
ml <- read.codeml_mlc(mlcfile)
# write.beast(ml, file = "codeml.tree")
write.beast(ml)#NEXUS
[R-package treeio, Wed Dec 16 15:43:53 2020]
BEGIN TAXA;
DIMENSIONS NTAX = 15;
TAXLABELS
A
B
C
D
E
F
G
H
I
J
K
L
M
N
O
;
END;
BEGIN TREES;
TRANSLATE
1 A,
2 B,
3 C,
4 D,
5 E,
6 F,
7 G,
8 H,
9 I,
10 J,
11 K,
12 L,
13 M,
14 N,
15 O
;
TREE * UNTITLED = [&U] (11[&t=0.082,N=1514.9,S=633.1,dN_vs_dS=0.0224,dN=0.002,dS=0.0878,N_x_dN=3,S_x_dS=55.6]:0.081785,14[&t=0.062,N=1514.9,S=633.1,dN_vs_dS=0.0095,dN=7e-04,dS=0.0689,N_x_dN=1,S_x_dS=43.6]:0.062341,(4[&t=0.082,N=1514.9,S=633.1,dN_vs_dS=0.0385,dN=0.0033,dS=0.0849,N_x_dN=5,S_x_dS=53.8]:0.082021,(12[&t=0.006,N=1514.9,S=633.1,dN_vs_dS=1e-04,dN=0,dS=0.0062,N_x_dN=0,S_x_dS=3.9]:0.005508,(10[&t=0.014,N=1514.9,S=633.1,dN_vs_dS=0.0457,dN=7e-04,dS=0.0143,N_x_dN=1,S_x_dS=9]:0.013996,(7[&t=0.046,N=1514.9,S=633.1,dN_vs_dS=0.1621,dN=0.006,dS=0.0373,N_x_dN=9.2,S_x_dS=23.6]:0.045746,((3[&t=0.028,N=1514.9,S=633.1,dN_vs_dS=0.0461,dN=0.0013,dS=0.0282,N_x_dN=2,S_x_dS=17.9]:0.02773,(5[&t=0.031,N=1514.9,S=633.1,dN_vs_dS=0.0641,dN=0.002,dS=0.0305,N_x_dN=3,S_x_dS=19.3]:0.031104,15[&t=0.048,N=1514.9,S=633.1,dN_vs_dS=0.0538,dN=0.0026,dS=0.0485,N_x_dN=4,S_x_dS=30.7]:0.048389)23[&t=0.008,N=1514.9,S=633.1,dN_vs_dS=1e-04,dN=0,dS=0.0094,N_x_dN=0,S_x_dS=6]:0.008328)22[&t=0.016,N=1514.9,S=633.1,dN_vs_dS=0.0395,dN=7e-04,dS=0.0165,N_x_dN=1,S_x_dS=10.4]:0.015959,(8[&t=0.021,N=1514.9,S=633.1,dN_vs_dS=0.1028,dN=0.002,dS=0.0191,N_x_dN=3,S_x_dS=12.1]:0.021007,(9[&t=0.015,N=1514.9,S=633.1,dN_vs_dS=1e-04,dN=0,dS=0.0167,N_x_dN=0,S_x_dS=10.6]:0.014739,(2[&t=0.032,N=1514.9,S=633.1,dN_vs_dS=1e-04,dN=0,dS=0.0358,N_x_dN=0,S_x_dS=22.7]:0.031643,(1[&t=0.01,N=1514.9,S=633.1,dN_vs_dS=0.0646,dN=7e-04,dS=0.0101,N_x_dN=1,S_x_dS=6.4]:0.01034,(6[&t=0.007,N=1514.9,S=633.1,dN_vs_dS=0.298,dN=0.0013,dS=0.0044,N_x_dN=2,S_x_dS=2.8]:0.006649,13[&t=0.009,N=1514.9,S=633.1,dN_vs_dS=0.0738,dN=7e-04,dS=0.0088,N_x_dN=1,S_x_dS=5.6]:0.009195)28[&t=0.028,N=1514.9,S=633.1,dN_vs_dS=0.0453,dN=0.0013,dS=0.0289,N_x_dN=2,S_x_dS=18.3]:0.028303)27[&t=0.008,N=1514.9,S=633.1,dN_vs_dS=0.0863,dN=7e-04,dS=0.0076,N_x_dN=1,S_x_dS=4.8]:0.008072)26[&t=0.003,N=1514.9,S=633.1,dN_vs_dS=1.5591,dN=0.0013,dS=8e-04,N_x_dN=2,S_x_dS=0.5]:0.0035)25[&t=0.02,N=1514.9,S=633.1,dN_vs_dS=1e-04,dN=0,dS=0.023,N_x_dN=0,S_x_dS=14.6]:0.020359)24[&t=0.001,N=1514.9,S=633.1,dN_vs_dS=1e-04,dN=0,dS=6e-04,N_x_dN=0,S_x_dS=0.4]:0.000555)21[&t=0.024,N=1514.9,S=633.1,dN_vs_dS=0.0549,dN=0.0013,dS=0.0237,N_x_dN=2,S_x_dS=15]:0.023675)20[&t=0.046,N=1514.9,S=633.1,dN_vs_dS=0.0419,dN=0.002,dS=0.047,N_x_dN=3,S_x_dS=29.8]:0.045745)19[&t=0.015,N=1514.9,S=633.1,dN_vs_dS=1e-04,dN=0,dS=0.0166,N_x_dN=0,S_x_dS=10.5]:0.014684)18[&t=0.059,N=1514.9,S=633.1,dN_vs_dS=0.0964,dN=0.0053,dS=0.0545,N_x_dN=8,S_x_dS=34.5]:0.059308)17[&t=0.232,N=1514.9,S=633.1,dN_vs_dS=0.0129,dN=0.0033,dS=0.2541,N_x_dN=5,S_x_dS=160.9]:0.231628)16;
END;
Figure 3.1: Visualizing BEAST file in FigTree. Directly visualizing NHX file (A) and CodeML output (B) in FigTree is not supported. treeio can convert these files to BEAST compatible NEXUS format which can be directly opened in FigTree and visualized annotated data.
3.2.2 Combining tree with external data
Using the utilities provided
by tidytree and treeio, it is easy to link
external data onto the corresponding phylogeny. The write.beast() function enables users to export the tree with external data to a single tree file.
phylo <- as.phylo(nhx)
## print the newick text
write.tree(phylo)[1] "(((Prayidae_D27SS7@2825365:0.0682841,(Kephyes_ovata@2606431:0.0193941,Chuniphyes_multidentata@1277217:0.0121378):0.0217782):0.0607598,((Apolemia_sp_@1353964:0.11832,(((Bargmannia_amoena@263997:0.0144549,Bargmannia_elongata@946788:0.0149723):0.0925388,Physonect_sp_@2066767:0.077429):0.0274637,(Stephalia_dilata@2960089:0.0761163,((Frillagalma_vityazi@1155031:0.0906068,Resomia_ornicephala@3111757:1e-06):1e-06,((Lychnagalma_utricularia@2253871:0.120851,Nanomia_bijuga@717864:0.133939):1e-06,Cordagalma_sp_@1525873:0.0693814):1e-06):0.0333823):1e-06):0.0431861):1e-06,Rhizophysa_filiformis@3073669:0.22283):0.0292362):0.185603,(Hydra_magnipapillata@52244:0.0621782,Ectopleura_larynx@3556167:0.332505):0.185603);"
N <- Nnode2(phylo)
fake_data <- tibble(node = 1:N, fake_trait = rnorm(N), another_trait = runif(N))
fake_tree <- full_join(phylo, fake_data, by = "node")
write.beast(fake_tree)#NEXUS
[R-package treeio, Wed Dec 16 15:43:55 2020]
BEGIN TAXA;
DIMENSIONS NTAX = 16;
TAXLABELS
Prayidae_D27SS7@2825365
Kephyes_ovata@2606431
Chuniphyes_multidentata@1277217
Apolemia_sp_@1353964
Bargmannia_amoena@263997
Bargmannia_elongata@946788
Physonect_sp_@2066767
Stephalia_dilata@2960089
Frillagalma_vityazi@1155031
Resomia_ornicephala@3111757
Lychnagalma_utricularia@2253871
Nanomia_bijuga@717864
Cordagalma_sp_@1525873
Rhizophysa_filiformis@3073669
Hydra_magnipapillata@52244
Ectopleura_larynx@3556167
;
END;
BEGIN TREES;
TRANSLATE
1 Prayidae_D27SS7@2825365,
2 Kephyes_ovata@2606431,
3 Chuniphyes_multidentata@1277217,
4 Apolemia_sp_@1353964,
5 Bargmannia_amoena@263997,
6 Bargmannia_elongata@946788,
7 Physonect_sp_@2066767,
8 Stephalia_dilata@2960089,
9 Frillagalma_vityazi@1155031,
10 Resomia_ornicephala@3111757,
11 Lychnagalma_utricularia@2253871,
12 Nanomia_bijuga@717864,
13 Cordagalma_sp_@1525873,
14 Rhizophysa_filiformis@3073669,
15 Hydra_magnipapillata@52244,
16 Ectopleura_larynx@3556167
;
TREE * UNTITLED = [&R] (((1[&fake_trait=0.810266619540347,another_trait=0.0979642828460783]:0.0682841,(2[&fake_trait=1.04780592797913,another_trait=0.255336594535038]:0.0193941,3[&fake_trait=-0.525315388149907,another_trait=0.0768492061179131]:0.0121378)[&fake_trait=1.14511328541082,another_trait=0.341676945565268]:0.0217782)[&fake_trait=1.47263175562671,another_trait=0.597173389280215]:0.0607598,(14[&fake_trait=-0.180105407408332,another_trait=0.405489857308567]:0.22283,(4[&fake_trait=1.25678468744393,another_trait=0.286884719505906]:0.11832,((7[&fake_trait=0.730359059846483,another_trait=0.497727471170947]:0.077429,(5[&fake_trait=1.25879013291401,another_trait=0.878254126058891]:0.0144549,6[&fake_trait=0.239815595891983,another_trait=0.379190814914182]:0.0149723)[&fake_trait=2.56125226634243,another_trait=0.432879082160071]:0.0925388)[&fake_trait=0.873442969677915,another_trait=0.13348799967207]:0.0274637,(8[&fake_trait=1.33865819182797,another_trait=0.787276627961546]:0.0761163,((9[&fake_trait=-0.791364091701768,another_trait=0.437938967952505]:0.0906068,10[&fake_trait=0.154576264658977,another_trait=0.10230500344187]:1e-06)[&fake_trait=-0.18939020426446,another_trait=0.154172978363931]:1e-06,(13[&fake_trait=0.953691105265616,another_trait=0.113366388017312]:0.0693814,(11[&fake_trait=0.52571254882219,another_trait=0.911556096747518]:0.120851,12[&fake_trait=-0.923096859920575,another_trait=0.944086311617866]:0.133939)[&fake_trait=-0.592732979571578,another_trait=0.509087640792131]:1e-06)[&fake_trait=-0.30156227532438,another_trait=0.591121553909034]:1e-06)[&fake_trait=-0.213737440972264,another_trait=0.828644473804161]:0.0333823)[&fake_trait=0.610056903753043,another_trait=0.710706093581393]:1e-06)[&fake_trait=-0.902209722316081,another_trait=0.944954794365913]:0.0431861)[&fake_trait=0.0949525197413311,another_trait=0.108365619787946]:1e-06)[&fake_trait=-1.90680389611356,another_trait=0.117206424707547]:0.0292362)[&fake_trait=-0.0330343850713759,another_trait=0.0023308175150305]:0.185603,(15[&fake_trait=1.25577887603495,another_trait=0.427273260196671]:0.0621782,16[&fake_trait=0.738593081465311,another_trait=0.620253301691264]:0.332505)[&fake_trait=0.7259159692824,another_trait=0.90451981080696]:0.185603)[&fake_trait=-0.270961007065714,another_trait=0.966370139736682];
END;After merging, the fake_trait and another_trait stored in fake_data will be linked to the tree, phylo, and store in the treedata object, the fake_tree. The write.beast() function export the tree with associated data to a single BEAST format file. The associated data can be used to visualized the tree using ggtree (Figure 5.7) or FigTree (Figure 3.1).
3.2.3 Merging tree data from different sources
Not only Newick tree text can be combined with associated data, but also tree data obtained from software output can be combined with external data, as well as different tree objects can be merged together (for details, see Chapter 2).
## combine tree object with data
tree_with_data <- full_join(nhx, fake_data, by = "node")
tree_with_data## 'treedata' S4 object that stored information of
## '/home/ygc/R/library/treeio/extdata/NHX/phyldog.nhx'.
##
## ...@ phylo:
## Phylogenetic tree with 16 tips and 15 internal nodes.
##
## Tip labels:
## Prayidae_D27SS7@2825365, Kephyes_ovata@2606431, Chuniphyes_multidentata@1277217, Apolemia_sp_@1353964, Bargmannia_amoena@263997, Bargmannia_elongata@946788, ...
##
## Rooted; includes branch lengths.
##
## with the following features available:
## 'Ev', 'S', 'ND', 'fake_trait', 'another_trait'.
## merge two tree object
tree2 <- merge_tree(nhx, fake_tree)
tree2## 'treedata' S4 object that stored information of
## '/home/ygc/R/library/treeio/extdata/NHX/phyldog.nhx'.
##
## ...@ phylo:
## Phylogenetic tree with 16 tips and 15 internal nodes.
##
## Tip labels:
## Prayidae_D27SS7@2825365, Kephyes_ovata@2606431, Chuniphyes_multidentata@1277217, Apolemia_sp_@1353964, Bargmannia_amoena@263997, Bargmannia_elongata@946788, ...
##
## Rooted; includes branch lengths.
##
## with the following features available:
## 'Ev', 'S', 'ND', 'fake_trait', 'another_trait'.
identical(tree_with_data, tree2)## [1] TRUEAfter merging data from different sources, the tree with the associated data can be exported into a single file.
write.beast(tree2)#NEXUS
[R-package treeio, Wed Dec 16 15:43:55 2020]
BEGIN TAXA;
DIMENSIONS NTAX = 16;
TAXLABELS
Prayidae_D27SS7@2825365
Kephyes_ovata@2606431
Chuniphyes_multidentata@1277217
Apolemia_sp_@1353964
Bargmannia_amoena@263997
Bargmannia_elongata@946788
Physonect_sp_@2066767
Stephalia_dilata@2960089
Frillagalma_vityazi@1155031
Resomia_ornicephala@3111757
Lychnagalma_utricularia@2253871
Nanomia_bijuga@717864
Cordagalma_sp_@1525873
Rhizophysa_filiformis@3073669
Hydra_magnipapillata@52244
Ectopleura_larynx@3556167
;
END;
BEGIN TREES;
TRANSLATE
1 Prayidae_D27SS7@2825365,
2 Kephyes_ovata@2606431,
3 Chuniphyes_multidentata@1277217,
4 Apolemia_sp_@1353964,
5 Bargmannia_amoena@263997,
6 Bargmannia_elongata@946788,
7 Physonect_sp_@2066767,
8 Stephalia_dilata@2960089,
9 Frillagalma_vityazi@1155031,
10 Resomia_ornicephala@3111757,
11 Lychnagalma_utricularia@2253871,
12 Nanomia_bijuga@717864,
13 Cordagalma_sp_@1525873,
14 Rhizophysa_filiformis@3073669,
15 Hydra_magnipapillata@52244,
16 Ectopleura_larynx@3556167
;
TREE * UNTITLED = [&R] (((1[&Ev=S,S=58,ND=0,fake_trait=0.810266619540347,another_trait=0.0979642828460783]:0.0682841,(2[&Ev=S,S=69,ND=1,fake_trait=1.04780592797913,another_trait=0.255336594535038]:0.0193941,3[&Ev=S,S=70,ND=2,fake_trait=-0.525315388149907,another_trait=0.0768492061179131]:0.0121378)[&Ev=S,S=60,ND=3,fake_trait=1.14511328541082,another_trait=0.341676945565268]:0.0217782)[&Ev=S,S=36,ND=4,fake_trait=1.47263175562671,another_trait=0.597173389280215]:0.0607598,((4[&Ev=S,S=31,ND=9,fake_trait=1.25678468744393,another_trait=0.286884719505906]:0.11832,(((5[&Ev=S,S=37,ND=10,fake_trait=1.25879013291401,another_trait=0.878254126058891]:0.0144549,6[&Ev=S,S=38,ND=11,fake_trait=0.239815595891983,another_trait=0.379190814914182]:0.0149723)[&Ev=S,S=33,ND=12,fake_trait=2.56125226634243,another_trait=0.432879082160071]:0.0925388,7[&Ev=S,S=61,ND=13,fake_trait=0.730359059846483,another_trait=0.497727471170947]:0.077429)[&Ev=S,S=24,ND=14,fake_trait=0.873442969677915,another_trait=0.13348799967207]:0.0274637,(8[&Ev=S,S=52,ND=15,fake_trait=1.33865819182797,another_trait=0.787276627961546]:0.0761163,((9[&Ev=S,S=53,ND=16,fake_trait=-0.791364091701768,another_trait=0.437938967952505]:0.0906068,10[&Ev=S,S=54,ND=17,fake_trait=0.154576264658977,another_trait=0.10230500344187]:1e-06)[&Ev=S,S=45,ND=18,fake_trait=-0.18939020426446,another_trait=0.154172978363931]:1e-06,((11[&Ev=S,S=65,ND=19,fake_trait=0.52571254882219,another_trait=0.911556096747518]:0.120851,12[&Ev=S,S=71,ND=20,fake_trait=-0.923096859920575,another_trait=0.944086311617866]:0.133939)[&Ev=S,S=56,ND=21,fake_trait=-0.592732979571578,another_trait=0.509087640792131]:1e-06,13[&Ev=S,S=64,ND=22,fake_trait=0.953691105265616,another_trait=0.113366388017312]:0.0693814)[&Ev=S,S=46,ND=23,fake_trait=-0.30156227532438,another_trait=0.591121553909034]:1e-06)[&Ev=S,S=40,ND=24,fake_trait=-0.213737440972264,another_trait=0.828644473804161]:0.0333823)[&Ev=S,S=35,ND=25,fake_trait=0.610056903753043,another_trait=0.710706093581393]:1e-06)[&Ev=D,S=24,ND=26,fake_trait=-0.902209722316081,another_trait=0.944954794365913]:0.0431861)[&Ev=S,S=19,ND=27,fake_trait=0.0949525197413311,another_trait=0.108365619787946]:1e-06,14[&Ev=S,S=26,ND=28,fake_trait=-0.180105407408332,another_trait=0.405489857308567]:0.22283)[&Ev=S,S=17,ND=29,fake_trait=-1.90680389611356,another_trait=0.117206424707547]:0.0292362)[&Ev=D,S=17,ND=8,fake_trait=-0.0330343850713759,another_trait=0.0023308175150305]:0.185603,(15[&Ev=S,S=16,ND=5,fake_trait=1.25577887603495,another_trait=0.427273260196671]:0.0621782,16[&Ev=S,S=15,ND=6,fake_trait=0.738593081465311,another_trait=0.620253301691264]:0.332505)[&Ev=S,S=12,ND=7,fake_trait=0.7259159692824,another_trait=0.90451981080696]:0.185603)[&Ev=S,S=9,ND=30,fake_trait=-0.270961007065714,another_trait=0.966370139736682];
END;The output BEAST Nexus file can be imported into R using the read.beast
function and all the associated data can be used to annotate the tree
using ggtree (Yu et al. 2017).
outfile <- tempfile(fileext = ".tree")
write.beast(tree2, file = outfile)
read.beast(outfile)## 'treedata' S4 object that stored information of
## '/tmp/RtmpuEM99A/filed1663d92bbec.tree'.
##
## ...@ phylo:
## Phylogenetic tree with 16 tips and 15 internal nodes.
##
## Tip labels:
## Prayidae_D27SS7@2825365, Kephyes_ovata@2606431, Chuniphyes_multidentata@1277217, Apolemia_sp_@1353964, Bargmannia_amoena@263997, Bargmannia_elongata@946788, ...
##
## Rooted; includes branch lengths.
##
## with the following features available:
## 'another_trait', 'Ev', 'fake_trait', 'ND', 'S'.3.3 Exporting Tree Data to jtree Format
The treeio package (Wang et al. 2020) provides the
write.beast() function to export treedata to BEAST Nexus file. This is quite useful
to convert file format, combine tree with data and merge tree data from
different sources as we demonstrated in
session 3.2.
The treeio package also supplies
the read.beast() function to parse output file of the write.beast() function. Although
with treeio, the R community has the ability to
manipulate BEAST Nexus format and process tree data, there is still lacking
library/package for parsing BEAST file in other programming language.
JSON (JavaScript Object Notation) is a lightweight data-interchange format and
widely supported in almost all modern programming languages. To make it easy
to import tree with data in other programming
languages, treeio supports
exporting tree with data in the jtree format, which is JSON-based and can be easy to parse using any languages that supports JSON.
write.jtree(tree2){
"tree": "(((Prayidae_D27SS7@2825365:0.0682841{1},(Kephyes_ovata@2606431:0.0193941{2},Chuniphyes_multidentata@1277217:0.0121378{3}):0.0217782{20}):0.0607598{19},((Apolemia_sp_@1353964:0.11832{4},(((Bargmannia_amoena@263997:0.0144549{5},Bargmannia_elongata@946788:0.0149723{6}):0.0925388{25},Physonect_sp_@2066767:0.077429{7}):0.0274637{24},(Stephalia_dilata@2960089:0.0761163{8},((Frillagalma_vityazi@1155031:0.0906068{9},Resomia_ornicephala@3111757:1{10}e-06):1{28}e-06,((Lychnagalma_utricularia@2253871:0.120851{11},Nanomia_bijuga@717864:0.133939{12}):1{30}e-06,Cordagalma_sp_@1525873:0.0693814{13}):1{29}e-06):0.0333823{27}):1{26}e-06):0.0431861{23}):1{22}e-06,Rhizophysa_filiformis@3073669:0.22283{14}):0.0292362{21}):0.185603{18},(Hydra_magnipapillata@52244:0.0621782{15},Ectopleura_larynx@3556167:0.332505{16}):0.185603{31}){17};",
"data":[
{
"edge_num": 1,
"Ev": "S",
"S": "58",
"ND": 0,
"fake_trait": 0.8103,
"another_trait": 0.098
},
{
"edge_num": 2,
"Ev": "S",
"S": "69",
"ND": 1,
"fake_trait": 1.0478,
"another_trait": 0.2553
},
{
"edge_num": 3,
"Ev": "S",
"S": "70",
"ND": 2,
"fake_trait": -0.5253,
"another_trait": 0.0768
},
{
"edge_num": 4,
"Ev": "S",
"S": "31",
"ND": 9,
"fake_trait": 1.2568,
"another_trait": 0.2869
},
{
"edge_num": 5,
"Ev": "S",
"S": "37",
"ND": 10,
"fake_trait": 1.2588,
"another_trait": 0.8783
},
{
"edge_num": 6,
"Ev": "S",
"S": "38",
"ND": 11,
"fake_trait": 0.2398,
"another_trait": 0.3792
},
{
"edge_num": 7,
"Ev": "S",
"S": "61",
"ND": 13,
"fake_trait": 0.7304,
"another_trait": 0.4977
},
{
"edge_num": 8,
"Ev": "S",
"S": "52",
"ND": 15,
"fake_trait": 1.3387,
"another_trait": 0.7873
},
{
"edge_num": 9,
"Ev": "S",
"S": "53",
"ND": 16,
"fake_trait": -0.7914,
"another_trait": 0.4379
},
{
"edge_num": 10,
"Ev": "S",
"S": "54",
"ND": 17,
"fake_trait": 0.1546,
"another_trait": 0.1023
},
{
"edge_num": 11,
"Ev": "S",
"S": "65",
"ND": 19,
"fake_trait": 0.5257,
"another_trait": 0.9116
},
{
"edge_num": 12,
"Ev": "S",
"S": "71",
"ND": 20,
"fake_trait": -0.9231,
"another_trait": 0.9441
},
{
"edge_num": 13,
"Ev": "S",
"S": "64",
"ND": 22,
"fake_trait": 0.9537,
"another_trait": 0.1134
},
{
"edge_num": 14,
"Ev": "S",
"S": "26",
"ND": 28,
"fake_trait": -0.1801,
"another_trait": 0.4055
},
{
"edge_num": 15,
"Ev": "S",
"S": "16",
"ND": 5,
"fake_trait": 1.2558,
"another_trait": 0.4273
},
{
"edge_num": 16,
"Ev": "S",
"S": "15",
"ND": 6,
"fake_trait": 0.7386,
"another_trait": 0.6203
},
{
"edge_num": 17,
"Ev": "S",
"S": "9",
"ND": 30,
"fake_trait": -0.271,
"another_trait": 0.9664
},
{
"edge_num": 18,
"Ev": "D",
"S": "17",
"ND": 8,
"fake_trait": -0.033,
"another_trait": 0.0023
},
{
"edge_num": 19,
"Ev": "S",
"S": "36",
"ND": 4,
"fake_trait": 1.4726,
"another_trait": 0.5972
},
{
"edge_num": 20,
"Ev": "S",
"S": "60",
"ND": 3,
"fake_trait": 1.1451,
"another_trait": 0.3417
},
{
"edge_num": 21,
"Ev": "S",
"S": "17",
"ND": 29,
"fake_trait": -1.9068,
"another_trait": 0.1172
},
{
"edge_num": 22,
"Ev": "S",
"S": "19",
"ND": 27,
"fake_trait": 0.095,
"another_trait": 0.1084
},
{
"edge_num": 23,
"Ev": "D",
"S": "24",
"ND": 26,
"fake_trait": -0.9022,
"another_trait": 0.945
},
{
"edge_num": 24,
"Ev": "S",
"S": "24",
"ND": 14,
"fake_trait": 0.8734,
"another_trait": 0.1335
},
{
"edge_num": 25,
"Ev": "S",
"S": "33",
"ND": 12,
"fake_trait": 2.5613,
"another_trait": 0.4329
},
{
"edge_num": 26,
"Ev": "S",
"S": "35",
"ND": 25,
"fake_trait": 0.6101,
"another_trait": 0.7107
},
{
"edge_num": 27,
"Ev": "S",
"S": "40",
"ND": 24,
"fake_trait": -0.2137,
"another_trait": 0.8286
},
{
"edge_num": 28,
"Ev": "S",
"S": "45",
"ND": 18,
"fake_trait": -0.1894,
"another_trait": 0.1542
},
{
"edge_num": 29,
"Ev": "S",
"S": "46",
"ND": 23,
"fake_trait": -0.3016,
"another_trait": 0.5911
},
{
"edge_num": 30,
"Ev": "S",
"S": "56",
"ND": 21,
"fake_trait": -0.5927,
"another_trait": 0.5091
},
{
"edge_num": 31,
"Ev": "S",
"S": "12",
"ND": 7,
"fake_trait": 0.7259,
"another_trait": 0.9045
}
],
"metadata": {"info": "R-package treeio", "data": "Wed Dec 16 15:43:55 2020"}
}The jtree format is based on JSON and can be parsed using JSON parser.
jtree_file <- tempfile(fileext = '.jtree')
write.jtree(tree2, file = jtree_file)
jsonlite::fromJSON(jtree_file)$tree
[1] "(((Prayidae_D27SS7@2825365:0.0682841{1},(Kephyes_ovata@2606431:0.0193941{2},Chuniphyes_multidentata@1277217:0.0121378{3}):0.0217782{20}):0.0607598{19},((Apolemia_sp_@1353964:0.11832{4},(((Bargmannia_amoena@263997:0.0144549{5},Bargmannia_elongata@946788:0.0149723{6}):0.0925388{25},Physonect_sp_@2066767:0.077429{7}):0.0274637{24},(Stephalia_dilata@2960089:0.0761163{8},((Frillagalma_vityazi@1155031:0.0906068{9},Resomia_ornicephala@3111757:1{10}e-06):1{28}e-06,((Lychnagalma_utricularia@2253871:0.120851{11},Nanomia_bijuga@717864:0.133939{12}):1{30}e-06,Cordagalma_sp_@1525873:0.0693814{13}):1{29}e-06):0.0333823{27}):1{26}e-06):0.0431861{23}):1{22}e-06,Rhizophysa_filiformis@3073669:0.22283{14}):0.0292362{21}):0.185603{18},(Hydra_magnipapillata@52244:0.0621782{15},Ectopleura_larynx@3556167:0.332505{16}):0.185603{31}){17};"
$data
edge_num Ev S ND fake_trait another_trait
1 1 S 58 0 0.8103 0.0980
2 2 S 69 1 1.0478 0.2553
3 3 S 70 2 -0.5253 0.0768
4 4 S 31 9 1.2568 0.2869
5 5 S 37 10 1.2588 0.8783
6 6 S 38 11 0.2398 0.3792
7 7 S 61 13 0.7304 0.4977
8 8 S 52 15 1.3387 0.7873
9 9 S 53 16 -0.7914 0.4379
10 10 S 54 17 0.1546 0.1023
11 11 S 65 19 0.5257 0.9116
12 12 S 71 20 -0.9231 0.9441
13 13 S 64 22 0.9537 0.1134
14 14 S 26 28 -0.1801 0.4055
15 15 S 16 5 1.2558 0.4273
16 16 S 15 6 0.7386 0.6203
17 17 S 9 30 -0.2710 0.9664
18 18 D 17 8 -0.0330 0.0023
19 19 S 36 4 1.4726 0.5972
20 20 S 60 3 1.1451 0.3417
21 21 S 17 29 -1.9068 0.1172
22 22 S 19 27 0.0950 0.1084
23 23 D 24 26 -0.9022 0.9450
24 24 S 24 14 0.8734 0.1335
25 25 S 33 12 2.5613 0.4329
26 26 S 35 25 0.6101 0.7107
27 27 S 40 24 -0.2137 0.8286
28 28 S 45 18 -0.1894 0.1542
29 29 S 46 23 -0.3016 0.5911
30 30 S 56 21 -0.5927 0.5091
31 31 S 12 7 0.7259 0.9045
$metadata
$metadata$info
[1] "R-package treeio"
$metadata$data
[1] "Wed Dec 16 15:43:55 2020"The jtree file can be directly imported as a treedata object using
the read.jtree() function provided also
in treeio package (see also session 1.3).
read.jtree(jtree_file)## 'treedata' S4 object that stored information of
## '/tmp/RtmpuEM99A/filed16644be42f9.jtree'.
##
## ...@ phylo:
## Phylogenetic tree with 16 tips and 15 internal nodes.
##
## Tip labels:
## Prayidae_D27SS7@2825365, Kephyes_ovata@2606431, Chuniphyes_multidentata@1277217, Apolemia_sp_@1353964, Bargmannia_amoena@263997, Bargmannia_elongata@946788, ...
##
## Rooted; includes branch lengths.
##
## with the following features available:
## 'Ev', 'S', 'ND', 'fake_trait', 'another_trait'.3.4 Summary
Phylogenetic tree associated data is often stored in a separate file and need expertise to map the data to the tree structure. Lacking standardization to store and represent phylogeny and associated data, makes it difficult for researchers to access and integrate the phylogenetic data into their studies. The treeio package provides functions to import phylogeny with associated data from a number of sources, including analysis finding from commonly used software and external data such as experimental, clinical or meta data. These tree + data can be exported into a single file as BEAST or jtree formats, and the output file can be parsed back to R by treeio and the data is easy to access. The input and output utilities supplied by treeio package lay the foundation for phylogenetic data integration for downstream comparative study and visualization.