Multiple evolutionary transitions of reproductive strategies in a phylum of aquatic colonial invertebrates
- 1. The Institute of Cancer Research
- 2. Saint Petersburg State University/University of Vienna
- 3. Natural History Museum London/Exeter University
- 4. Universidade Federal de Pernambuco/Natural History Museum London
- 5. National Institute of Water & Atmosphere Research
- 6. Natural History Museum London
- 7. Saint Petersburg State University
- 8. University of Otago
- 9. University of Hamburg/Universidade dos Acores
- 10. Heriot Watt University
- 11. University of Vienna
- 12. Iziko Museums of South Africa
Description
PHYLOGENIES
All_genes_alignment.nex
The concatenated mixed alignment consisting of, 13 mitochondrial protein-coding genes as amino acids, mitochondrial ribosomal RNA genes 12S+16S, and nuclear 18S+28S rRNA genes. Gene boundaries and excludes sites are indicated.
Fig_2.nex
Topology of the Bayesian phylogenetic analysis of the mixed concatenated alignment consisting of three partitions: (i) 13 mitochondrial protein-coding genes as amino acids, (ii) mitochondrial ribosomal RNA genes 12S+16S, (iii) nuclear 18S+28S rRNA genes. The analysis was performed in MrBayes5D v. 3.2.6 under the GTR+G model of nucleotide evolution (nucleotides) and the MTZOA+G model (amino acids). The analysis was run for 2.4 million generations; 1.5 million generations were discarded as burn-in.
Fig_S3
Topology of the Bayesian phylogenetic analysis of the mixed concatenated alignment consisting of three partitions: (i) 13 mitochondrial protein-coding genes (PCGs) as amino acids, (ii) mitochondrial ribosomal RNA genes 12S+16S, (iii) nuclear 18S+28S rRNA genes. The analysis was performed in p4 under the GTR+G model of nucleotide evolution (nucleotides) and the MTZOA+G+F model (amino acids). The +F model component accommodates empirical composition in the amino acid model. The analysis used three separate runs for 300,000 generations; 200,000 generations were discarded as burn-in.
Fig_S4
Topology of the maximum likelihood phylogenetic analysis of the mixed concatenated alignment consisting of three partitions: (i) 13 mitochondrial protein-coding genes as amino acids, (ii) mitochondrial ribosomal RNA genes 12S+16S, (iii) nuclear 18S+28S rRNA genes. The analysis was performed in RAxML HPC-PTHREADS-SSE3 v. 8.2.12 under the GTR+G (nucleotides) and the MTZOA+G+F models (amino acids).
Fig_S5
Topology of the Bayesian phylogenetic analysis of the 12S+16S rRNA gene partition constructed using MrBayes v. 3.2.6 under the GTR + G model. The analysis was run for 20 million generations; 10 million generations were discarded as burn-in.
Fig_S6
Topology of the maximum likelihood phylogenetic analysis of the 12S+16S rRNA gene partition constructed using RAxML HPC-PTHREADS-SSE3 v. 8.2.12 under the GTRCAT model.
Fig_S7
Topology of the Bayesian phylogenetic analysis of the 18S+28S rRNA gene partition constructed using MrBayes v. 3.2.6 under the GTR + G model. The analysis was run for 20 million generations; 10 million generations were discarded as burn-in.
Fig_S8
Topology of the maximum likelihood phylogenetic analysis of the 18S+28S rRNA gene partition constructed using RAxML HPC-PTHREADS-SSE3 v. 8.2.12 under the GTRCAT model.
Fig_S9
Topology of the Bayesian phylogenetic analysis of 13 mitochondrial protein-coding genes as amino acids constructed using MrBayes5D v. 3.2.6 under the MTZOA+G model. The analysis was run for 3.7 million generations; 2.5 million generations were discarded as burn-in.
Fig_S10
Topology of the maximum likelihood phylogenetic analysis of 13 mitochondrial protein-coding genes as amino acids constructed using RAxML HPC-PTHREADS-SSE3 v. 8.2.12 under the PROTGAMMAMTZOA model.
Fig_S11
Topology of the Bayesian phylogenetic analysis of the mixed concatenated alignment consisting of three partitions: (i) 13 mitochondrial protein-coding genes (PCGs) as amino acids, (ii) mitochondrial ribosomal RNA genes 12S+16S, (iii) nuclear 18S+28S rRNA genes. The analysis was performed in p4 under the NDCH-C2 model. The analysis used four separate runs for 300,000 generations; 200,000 generations were discarded as burn-in. The NDCH model accommodates compositional tree-heterogeneity and was used because there was a large amount of compositional heterogeneity over the sequences, especially in the PCGs and 12S+16S rRNA data partitions. This is an NDCH model with two composition vectors on each of the three data partitions.
ANCESTRAL CHARACTER ESTIMATION:
ACE.R
R script of the ancestral character estimation carried out in phytools.
Reproductive_strategy_numbers.csv
Data input file for ACE analysis (reproductive strategies coded as numbers)
Reproductive_strategies.xlsx
List of reproductive strategies per taxon with the corresponding numerical codes used in the file 'Reproductive_stategies_numbers.csv'.
Tree.tre
Input tree for ACE analysis.
Files
Reproductive_strategy_numbers.csv
Files
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