Zhao Tianyou, Lin Zhenbin, Yang Hailin, Song Fan, Xia Zhenyuan, Huang Weidong
Department of Entomology and MOA Key Lab of Pest Monitoring and Green Management College of Plant Protection, China Agricultural University, Beijing, China.
Yunnan Tobacco Company, Yuxi, China.
Front Genet. 2025 Mar 13;16:1495754. doi: 10.3389/fgene.2025.1495754. eCollection 2025.
Advances in high-throughput sequencing technology have led to a rapid increase in the number of sequenced mitochondrial genomes (mitogenomes), ensuring the emergence of mitochondrial phylogenomics, as a powerful tool for understanding the evolutionary history of various animal groups.
In this study, we utilized high-throughput sequencing technology to assemble and annotate the mitogenomes of (Stål) and Ebner. We described the characteristics of the mitochondrial genes of these two species. Utilizing 13 PCGs and 2 rRNA genes, we reconstructed the phylogenetic relationships of Tettigoniidae by combining published data with 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.
Selective pressure analysis on the 13 protein-coding genes (PCGs) and 2 ribosomal RNA (rRNA) genes revealed that only and 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 rRNA genes across five major subfamilies using mean pairwise identity analysis. Phylogenetic results of our study provide more precise insights into the relationships within Tettigoniidae, spanning subfamilies, tribes, genera, and species. We further estimated the divergence times of Tettigoniidae using four fossil calibration nodes in MCMCTree, dating the origin of katydids to the early Paleogene period (approximately 60.86 Mya), and identifying the divergence nodes for five major subfamilies.
高通量测序技术的进步导致测序的线粒体基因组(线粒体基因组)数量迅速增加,确保了线粒体系统发育基因组学的出现,这是一种理解各种动物群体进化历史的强大工具。
在本研究中,我们利用高通量测序技术组装并注释了(斯塔尔)和埃布纳的线粒体基因组。我们描述了这两个物种线粒体基因的特征。利用13个蛋白质编码基因(PCGs)和2个核糖体RNA基因,我们将已发表的数据与新生成的数据相结合,重建了螽斯科的系统发育关系。我们使用似然性映射、信噪比(SNR)和不同数据集的饱和度分析来确保推断拓扑结构的稳健性。
对13个蛋白质编码基因(PCGs)和2个核糖体RNA(rRNA)基因的选择压力分析表明,只有和包含正选择位点,而负选择在所有基因中占主导地位,这表明线粒体基因的主要功能是维持遗传完整性。此外,我们使用平均成对同一性分析评估了五个主要亚科中13个PCGs和两个rRNA基因的进化速率。我们研究的系统发育结果为螽斯科内跨越亚科、部落、属和物种的关系提供了更精确的见解。我们进一步使用MCMCTree中的四个化石校准节点估计了螽斯科的分化时间,将螽斯的起源追溯到古近纪早期(约6086万年前),并确定了五个主要亚科的分化节点。