Fahldieck Moritz, Rulik Björn, Thormann Jana, Mengual Ximo
Museum Koenig, Leibniz-Institut zur Analyse des Biodiversitätswandels, Bonn, Germany Museum Koenig, Leibniz-Institut zur Analyse des Biodiversitätswandels Bonn Germany.
Biodivers Data J. 2024 Sep 24;12:e127190. doi: 10.3897/BDJ.12.e127190. eCollection 2024.
Tipulidae, commonly known as true crane flies, represent one of the most species-rich dipteran families, boasting approximately 4,500 known species globally. Their larvae serve as vital decomposers across diverse ecosystems, prompting their frequent and close observation in biomonitoring programs. However, traditional morphological identification methods are laborious and time-consuming, underscoring the need for a comprehensive DNA barcode reference library to speed up species determination. In this study, we present the outcomes of the German Barcode of Life initiative focused on Tipulidae. Our DNA barcode library comprises 824 high-quality cytochrome c oxidase I (COI) barcodes encompassing 76 crane fly species, counting for ca. 54% of the German tipulid fauna. Our results significantly increased the number of European tipulid species available in the Barcode of Life Data System (BOLD) by 14%. Additionally, the number of barcodes from European tipulid specimens more than doubled, with an increase of 118%, bolstering the DNA resource for future identification inquiries. Employing diverse species delimitation algorithms - including the multi-rate Poisson tree processes model (mPTP), Barcode Index Number assignments (BIN), Assemble Species by Automatic Partitioning (ASAP), and the TaxCI R-script - we successfully match 76-86% of the morphologically identified species. Further validation through neighbor-joining tree topology analysis and comparison with 712 additional European tipulid barcodes yield a remarkable 89% success rate for the species identification of German tipulids based on COI barcodes. This comprehensive DNA barcode dataset not only enhances species identification accuracy but also serves as a pivotal resource for ecological and biomonitoring studies, fostering a deeper understanding of crane fly diversity and distribution across terrestrial landscapes.
大蚊科,通常被称为真大蚊,是物种最为丰富的双翅目家族之一,全球已知约4500种。它们的幼虫是各种生态系统中至关重要的分解者,这促使它们在生物监测项目中经常被密切观察。然而,传统的形态学鉴定方法既费力又耗时,这突出表明需要一个全面的DNA条形码参考库来加快物种鉴定。在本研究中,我们展示了德国生命条形码计划针对大蚊科的成果。我们的DNA条形码库包含824个高质量的细胞色素c氧化酶I(COI)条形码,涵盖76种大蚊,约占德国大蚊科动物种类的54%。我们的结果使生命条形码数据系统(BOLD)中欧洲大蚊科物种的数量显著增加了14%。此外,来自欧洲大蚊标本的条形码数量增加了118%,超过了原来的一倍多,为未来的鉴定查询增强了DNA资源。采用多种物种界定算法——包括多速率泊松树过程模型(mPTP)、条形码索引号分配(BIN)、自动划分组装物种(ASAP)以及TaxCI R脚本——我们成功匹配了76 - 86%形态学鉴定的物种。通过邻接树拓扑分析以及与另外712个欧洲大蚊条形码进行比较的进一步验证,基于COI条形码的德国大蚊物种鉴定成功率高达89%。这个全面的DNA条形码数据集不仅提高了物种鉴定的准确性,还作为生态和生物监测研究的关键资源,促进了对大蚊多样性及其在陆地景观中分布的更深入理解。