Mitochondrial genomes provide insights into the Euholognatha (Insecta: Plecoptera)

• Published in: BMC ecology and evolution Vol. 24; no. 1; p. 16
• Main Authors: Cao, Jin-Jun, Wang, Ying, Murányi, Dávid, Cui, Jian-Xin, Li, Wei-Hai
• Format: Journal Article
• Language: English
• Published: England BioMed Central Ltd 01.02.2024; BioMed Central; BMC
• Subjects: Animals; Base Sequence; Compositional heterogeneity; Genetic aspects; Genome, Mitochondrial - genetics; Genomes; Humans; Insecta - genetics; Mitochondria; Mitochondrial genome; Neoptera; Phylogeny; Stonefly; Zoological research; China; Phylogeny; Compositional heterogeneity; Stonefly; Mitochondrial genome
• ISSN: 2730-7182; 2730-7182
• DOI: 10.1186/s12862-024-02205-6

Euholognatha is a monophyletic group within stoneflies comprised by a superfamily Nemouroidea and a family Scopuridae. Based on morphological data, the family-level phylogenetic relationships within Euholognatha are widely accepted, but there is still controversy among different molecular studies. To better understand the phylogeny of all six extant euholognathan families, we sequenced and analyzed seven euholognathan mitogenomes. The sequence heterogeneity analysis observed a low degree of compositional heterogeneity in euholognathan mitogenomes. Meanwhile, leuctrid mitogenomes were more heterogeneous than other euholognathan families, which may affect the phylogenetic reconstruction. Phylogenetic analyses with various datasets generated three topologies. The Leuctridae was recovered as the earliest branching lineage, and the sister relationship of Capniidae and Taeniopterygidae was supported by most tree topologies and FcLM analyses. When separately excluding sparsely sampled Scopuridae or high heterogeneity leuctrid taxa, phylogenetic analyses under the same methods generated more stable and consistent tree topologies. Finally, based on the results of this study, we reconstructed the relationships within Euholognatha as: Leuctridae + (Scopuridae + ((Taeniopterygidae + Capniidae) + (Nemouridae + Notonemouridae))). Our research shows the potential of data optimizing strategies in reconstructing phylogeny within Euholognatha and provides new insight into the phylogeny of this group.