Related Experiment Video
Updated: Sep 27, 2026

A Concoction Pipeline for Generating Molecular Operational Taxonomic Units (MOTUs) Among Riparian and Aquatic Beetles
Published on: July 11, 2025
Insights into Ant Phylogeny from Mitogenomic Sampling Across All Extant Subfamilies
1Henan International Laboratory for Green Pest Control, Henan Engineering Laboratory of Pest Biological Control, College of Plant Protection, Henan Agricultural University, Zhengzhou 450046, China.
Abstract:
Ants (Formicidae) represent an ecologically dominant terrestrial lineage, yet resolving their deep phylogenetic relationships requires extensive taxon sampling. In this study, we sequenced four new ant mitochondrial genomes (mitogenomes) and assembled 34 others from public genomic data. Combining these with published sequences yielded a broad dataset of 215 species representing all 17 recognized subfamilies. Three of the four newly sequenced mitogenomes were complete and contained the canonical set of 37 genes, all exhibiting a strong A+T bias. Notably, three species displayed distinct gene rearrangements relative to the ancestral insect mitogenome. Phylogenetic inferences based on nucleotide and amino acid datasets supported the monophyly of Formicidae and all subfamilies represented by multiple species. Under concatenated Maximum Likelihood analyses, Martialis heureka (Martialinae) was recovered as the sister group to all other extant ants, with the remaining lineages dividing into poneroid and formicoid clades. Within these groups, key relationships were firmly validated, including Aneuretinae + Dolichoderinae, Heteroponerinae + Ectatomminae, Apomyrminae + Amblyoponinae, and an intriguing Myrmicinae + Formicinae clade that diverges from nuclear phylogenomic topologies. However, extensive sensitivity assessments (including likelihood mapping, alternative partitioning, and Bayesian inference) revealed underlying signal conflict and dataset dependence regarding the exact placements of Martialinae and Leptanillinae. These deep-node uncertainties are driven primarily by substitution saturation and compositional bias. Overall, while mitogenomic data provide powerful resolution for most intersubfamilial relationships, fully resolving the deepest ant divergences will require integrating nuclear genome-scale data under sophisticated models accounting for sequence heterogeneity.
Related Concept Videos
Evolutionary Relationships through Genome Comparisons
Microbial Phylogeny
Modern Molecular Taxonomy
Comparing Mitochondrial, Chloroplast, and Prokaryotic Genomes
Synteny and Evolution
Around 80 million years ago, the human and mice lineages diverged from the common ancestor. During the course of evolution, the ancestral chromosome underwent...
Gene Evolution - Fast or Slow?
In contrast, regions which code...

