Liu Jing, Xu Huixin, Wang Ziqing, Li Panpan, Yan Zihan, Bai Ming, Li Jing
College of Plant Protection, Hebei Agricultural University, Baoding 071000, China.
Key Laboratory of Animal Biodiversity Conservation and Integrated Pest Management (Chinese Academy of Sciences), Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China.
Insects. 2024 Jul 6;15(7):508. doi: 10.3390/insects15070508.
To date, five species of reddish-brown have been described, but their highly similar body color and other phenotypic traits make accurate taxonomy challenging. To clarify species-level taxonomy and validate potential new species, the cytochrome oxidase subunit I () was used for phylogenetic analysis and the geometric morphometrics of elytron, pronotum, and hind wing were employed to distinguish all reddish-brown species. Phylogenetic results using maximum likelihood and Bayesian analyses of sequences aligned well with the current taxonomy of the species group. Significant KP divergences, with no overlap between intra- and interspecific genetic distances, were obtained in species. The automatic barcode gap discovery (ABGD), assemble species by automatic partitioning (ASAP), and generalized mixed Yule coalescent (GMYC) approaches concurred, dividing the similar species into eight molecular operational taxonomic units (MOTUs). Geometric morphometric analysis using pronotum, elytron, hind wing shape and wing vein patterns also validated the classification of all eight species. By integrating these analytical approaches with morphological evidence, we successfully delineated the reddish-brown species of into eight species with three new species: sp. nov., sp. nov., and sp. nov. Furthermore, we documented the first record of in China. This study underscores the utility of an integrative taxonomy approach in species delimitation within and serves as a reference for the taxonomic revision of other morphologically challenging beetles through integrative taxonomy.
迄今为止,已描述了五种红棕色的[物种名称未提及],但其高度相似的体色和其他表型特征使得准确分类具有挑战性。为了阐明物种水平的分类并验证潜在的新物种,使用细胞色素氧化酶亚基I(COI)进行系统发育分析,并采用鞘翅、前胸背板和后翅的几何形态测量法来区分所有红棕色的[物种名称未提及]物种。使用最大似然法和贝叶斯分析法对COI序列进行的系统发育分析结果与[物种名称未提及]物种组的当前分类法吻合良好。在[物种名称未提及]物种中获得了显著的K2P分歧,种内和种间遗传距离没有重叠。自动条形码间隙发现(ABGD)、自动划分组装物种(ASAP)和广义混合尤尔合并(GMYC)方法一致,将相似物种划分为八个分子操作分类单元(MOTU)。使用前胸背板、鞘翅、后翅形状和翅脉模式的几何形态测量分析也验证了所有八个物种的分类。通过将这些分析方法与形态学证据相结合,我们成功地将红棕色的[物种名称未提及]物种划分为八个物种,其中包括三个新物种:[新物种名称1] sp. nov.、[新物种名称2] sp. nov.和[新物种名称3] sp. nov.。此外,我们记录了[物种名称未提及]在中国的首次记录。本研究强调了综合分类学方法在[物种名称未提及]物种界定中的实用性,并为通过综合分类学对其他形态学上具有挑战性的甲虫进行分类修订提供了参考。