A MuseOMICS approach to scrutinise DNA barcode failure: testing the causes for taxonomic incongruence patterns in phytophagous Hymenoptera and Orthoptera through hybridization capture using RAD probes.

仔细检查 DNA 条形码失败的 MuseOMICS 方法：通过使用 RAD 探针的杂交捕获来测试植食性膜翅目和直翅目分类学不一致模式的原因。

• 批准号: 351237598
• 负责人: Dr. Oliver Hawlitschek, Ph.D.
• 金额: --
• 依托单位: Centrum für Naturkunde (CeNak) (aufgelöst)
• 依托单位国家: 德国
• 项目类别: Priority Programmes
• 财政年份: 2017
• 资助国家: 德国
• 起止时间: 2016-12-31 至 2020-12-31
• 项目状态: 已结题
• 来源: https://gepris.dfg.de/gepris/projekt/351237598?language=en
• 关键词: MuseOMICS; approach; scrutinise; DNA; barcode

DNA barcoding has been shown to be highly accurate for the identification of animal species, but some groups defy this approach. Numerous taxa particularly in the ecologically significant phytophagous Hymenoptera and Orthoptera exhibit incongruence between barcode data and traditional taxonomic concepts. Closely related species often form clusters sharing identical or very similar barcodes. Our extensive DNA barcode library and taxonomic expertise with access to reliably identified voucher specimens at the Zoologische Staatssammlung München provide an ideal basis for assessing the genetic structure of otherwise intractable species complexes. We use ddRAD and hyRAD genomic sequencing to obtain data on the phylogeny of taxa sharing mitochondrial barcodes and to investigate into the sharing of genomic elements by introgression or incomplete lineage sorting in these taxa. In a multidisciplinary approach we then combine this genomic data with data on morphology, host plants, biogeography, and population structure to determine which factors might be correlated with introgression. Based on our results, we will develop guidelines for the handling of taxa in which barcoding fails, first specifically for the international BOLD barcode database and second as general recommendations for best practice in biodiversity research.

DNA条形码已被证明是高度准确的动物物种的识别，但一些群体无视这种方法。许多分类群，特别是在生态上重要的植食性Hyplettera和直翅目表现出条形码数据和传统的分类概念之间的不一致。密切相关的物种通常形成集群，共享相同或非常相似的条形码。我们拥有丰富的DNA条形码库和分类学专业知识，可在慕尼黑动物园获得可靠鉴定的凭证标本，为评估其他难以处理的物种复合体的遗传结构提供了理想的基础。我们使用ddRAD和hyRAD基因组测序获得共享线粒体条形码的类群的同源性数据，并通过渐渗或不完整的谱系分选在这些类群中调查基因组元素的共享。在一个多学科的方法，我们然后结合联合收割机的形态学，寄主植物，地理学，和人口结构的数据，以确定哪些因素可能与基因渗入。根据我们的研究结果，我们将制定指导方针，其中条形码失败的分类群的处理，首先是专门为国际BOLD条形码数据库和第二个生物多样性研究的最佳实践的一般建议。