ArticleBMC evolutionary biology2020
MtOrt: an empirical mitochondrial amino acid substitution model for evolutionary studies of Orthoptera insects.
Article in BMC evolutionary biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- Genomic evidence reveals taxonomic oversplitting in a wing dimorphic grasshopper complex Tetrix japonica.BMC genomics · 2026Article
- EstablishingLife (Basel, Switzerland) · 2026Article
- Developing and Applying RNA Empirical Models With Secondary Structure Insights for Orthoptera Phylogenetics.Ecology and evolution · 2025Article
- Complete mitochondrial genomes and phylogenetic relationships of twoMitochondrial DNA. Part B, Resources · 2025Article
- Article
- The complete mitochondrial genome ofMitochondrial DNA. Part B, Resources · 2024Article
- First mitogenomic characterization ofZooKeys · 2024Article
- The Complete Mitogenomes of Three Grasshopper Species with Special Notes on the Phylogenetic Positions of Some Related Genera.Insects · 2023Article
- Consequences of Substitution Model Selection on Protein Ancestral Sequence Reconstruction.Molecular biology and evolution · 2022Article
- Phylogenetic Position of the GenusInsects · 2021Article
- Article
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Abstract
backgroundAmino acid substitution models play an important role in inferring phylogenies from proteins. Although different amino acid substitution models have been proposed, only a few were estimated from mitochondrial protein sequences for specific taxa such as the mtArt model for Arthropoda. The increasing of mitochondrial genome data from broad Orthoptera taxa provides an opportunity to estimate the Orthoptera-specific mitochondrial amino acid empirical model.
resultsWe sequenced complete mitochondrial genomes of 54 Orthoptera species, and estimated an amino acid substitution model (named mtOrt) by maximum likelihood method based on the 283 complete mitochondrial genomes available currently. The results indicated that there are obvious differences between mtOrt and the existing models, and the new model can better fit the Orthoptera mitochondrial protein datasets. Moreover, topologies of trees constructed using mtOrt and existing models are frequently different. MtOrt does indeed have an impact on likelihood improvement as well as tree topologies. The comparisons between the topologies of trees constructed using mtOrt and existing models show that the new model outperforms the existing models in inferring phylogenies from Orthoptera mitochondrial protein data.
conclusionsThe new mitochondrial amino acid substitution model of Orthoptera shows obvious differences from the existing models, and outperforms the existing models in inferring phylogenies from Orthoptera mitochondrial protein sequences.
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