Authors
Ping Li, Hai-Tao Li, Jian-Jun Guo, Lang Liang, Si-Yuan Xu, Tian-Ci Yi, Dao-Chao Jin
Published in
Cladistics : the international journal of the Willi Hennig Society. Aug 21, 2026. Epub Aug 21, 2026.
Abstract
Higher-level relationships within water mites (Hydrachnidia) remain difficult to evaluate because deep mitochondrial phylogenetic signals may vary with matrix composition and model choice. Here, we assembled 58 mitogenomes representing 19 families and combined them with 10 published genomes to analyse 68 water mite taxa, the most extensive mitogenomic sampling assembled for the group to date. To test the robustness of higher-level relationships, we compared three sequence matrices under three substitution-model strategies and evaluated backbone congruence against a supermatrix incorporating legacy 18S, 28S and COI data. Across the nine mitogenomic analyses, Hydrachnidia was consistently recovered as monophyletic, with Eylaoidea sister to all remaining water mites. Hydrachnoidea was recovered as the earliest diverging lineage within Neohydrachnidia, whereas relationships among several deeper lineages, including the Hydryphantoidea grade, Lebertioidea, Arrenuroidea and Hygrobatoidea, remained sensitive to analytical treatment. Sixteen mitochondrial gene-order configurations were identified, with rearrangements concentrated near the control region and involving tRNA loci more frequently than protein-coding genes. Ancestral-state reconstructions of mitochondrial gene order and five morphological character systems (coxal-plate fusion, acetabular number, C4 glandularia position, swimming seta position and cuticle texture) showed that the phylogenetic informativeness of traditional classification characters differed among traits, with repeated state transitions inferred for some characters across water mite lineages. These results distinguish recurrent phylogenetic signals from model-sensitive relationships and provide an expanded comparative framework for evaluating mitochondrial genome evolution and character change in Hydrachnidia.
PMID:
42630007
Bibliographic data and abstract were imported from PubMed on 22 Aug 2026.
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