https://orcid.org/0000-0002-3780-1464
Figures & data
Figure 1. Phylogenetic placement of Zyzomys argurus based on a truncated comparison of the rRNA and coding DNA sequences to other entire vertebrate mitogenomes (references for the genomes can be found in NCBI accessions). The evolutionary history was inferred by using the maximum-likelihood method and General Time Reversible model (Nei and Kumar Citation2000). The tree with the highest log likelihood (−71,921.01) is shown. The percentage of trees in which the associated taxa clustered together is shown next to the branches. Initial tree(s) for the heuristic search were obtained automatically by applying Neighbor-Join and BioNJ algorithms to a matrix of pairwise distances estimated using the maximum composite likelihood (MCL) approach, and then selecting the topology with superior log likelihood value. A discrete Gamma distribution was used to model evolutionary rate differences among sites (5 categories (+G, parameter = 0.3903)). The rate variation model allowed for some sites to be evolutionarily invariable ([+I], 29.14% sites). The tree is drawn to scale, with branch lengths measured in the number of substitutions per site. This analysis involved 12 nucleotide sequences. There were a total of 13,603 positions in the final dataset. Evolutionary analyses were conducted in MEGA X (Kumar et al. Citation2018).
![Figure 1. Phylogenetic placement of Zyzomys argurus based on a truncated comparison of the rRNA and coding DNA sequences to other entire vertebrate mitogenomes (references for the genomes can be found in NCBI accessions). The evolutionary history was inferred by using the maximum-likelihood method and General Time Reversible model (Nei and Kumar Citation2000). The tree with the highest log likelihood (−71,921.01) is shown. The percentage of trees in which the associated taxa clustered together is shown next to the branches. Initial tree(s) for the heuristic search were obtained automatically by applying Neighbor-Join and BioNJ algorithms to a matrix of pairwise distances estimated using the maximum composite likelihood (MCL) approach, and then selecting the topology with superior log likelihood value. A discrete Gamma distribution was used to model evolutionary rate differences among sites (5 categories (+G, parameter = 0.3903)). The rate variation model allowed for some sites to be evolutionarily invariable ([+I], 29.14% sites). The tree is drawn to scale, with branch lengths measured in the number of substitutions per site. This analysis involved 12 nucleotide sequences. There were a total of 13,603 positions in the final dataset. Evolutionary analyses were conducted in MEGA X (Kumar et al. Citation2018).](/cms/asset/ffce1ace-3521-4586-9563-3bb76c8b2822/tmdn_a_1920858_f0001_b.jpg)
Data availability statement
The data that support the findings of this study are available from either GenBank (see ) or from the corresponding author (P. B. S. S.) upon reasonable request. The complete mitochondrial sequence has been deposited in the NCBI online database at https://www.ncbi.nlm.nih.gov/nuccore/MT741674.