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ORIGINAL RESEARCH article

Front. Genet.

Sec. Evolutionary and Population Genetics

Volume 16 - 2025 | doi: 10.3389/fgene.2025.1495754

Evolutionary history and divergence times of Tettigoniidae (Orthoptera) inferred from mitochondrial phylogenomics

Provisionally accepted
Tianyou Zhao Tianyou Zhao 1Zhenbin Lin Zhenbin Lin 1Hailin Yang Hailin Yang 2Fan Song Fan Song 1Zhenyuan Xia Zhenyuan Xia 3*Weidong Huang Weidong Huang 1*
  • 1 Key Laboratory for Monitory and Green Control of Crop Pest, Department of Entomology, College of Plant Protection, China Agricultural University, Beijing, China
  • 2 Yunnan Tobacco Company, Yuxi Branch, Yuxi, China
  • 3 Yunnan Academy of Tobacco Agricultural Sciences, Kunming, Yunnan Province, China

The final, formatted version of the article will be published soon.

    Advances in high-throughput sequencing technology have led to a rapidly increasing in the number of sequenced mitochondrial genomes (mitogenomes), ensuring the emergence of mitochondrial phylogenomics, a powerful material for understanding evolutionary history at various animal groups.In this study, we utilized high-throughput sequencing technology to assemble and annotate the mitogenomes of Letana rubescens (Stå l) and Isopsera denticulata Ebner. We have described the mitochondrial genes characteristics of these two species. Selection pressure analysis on the 13 PCGs and two ribosomal RNA genes revealed that only ND1 and COX1 contained positively selected sites, while negative selection dominated across all genes, indicating that mitochondrial genes primarily function to maintain genetic integrity. Additionally, we assessed the evolutionary rates of the 13 PCGs and two ribosomal RNA genes across the five major subfamilies using mean pairwise identity analysis. Using 13 protein-coding genes (PCGs) and two ribosomal RNA (rRNA) genes, we reconstructed the phylogenetic relationships of the Tettigoniidae by combining published and our newly generated data. We used likelihood mapping, signal-to-noise ratio (SNR), and saturation analysis across different datasets to ensure the robustness of our inferred topologies. Our results have provided more precise insights into the relationships within the Tettigoniidae, spanning from the subfamilies to, tribes, genera, and species level. We further estimated divergence times of Tettigoniidae using four fossil calibration nodes in MCMCTree, dating the origin time of katydids at the early Paleogene period (about 60.86 Mya) and identifying the divergence nodes for five major subfamilies.

    Keywords: Tettigoniidae, Mitochondrial Genome, divergence time, Selective pressures, Evolutionary rate, phylogeny

    Received: 13 Sep 2024; Accepted: 17 Feb 2025.

    Copyright: © 2025 Zhao, Lin, Yang, Song, Xia and Huang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence:
    Zhenyuan Xia, Yunnan Academy of Tobacco Agricultural Sciences, Kunming, Yunnan Province, China
    Weidong Huang, Key Laboratory for Monitory and Green Control of Crop Pest, Department of Entomology, College of Plant Protection, China Agricultural University, Beijing, China

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.

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