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DNA 条形码技术在区域动物区系研究中的应用:爱尔兰独居蜜蜂。

DNA barcoding a regional fauna: Irish solitary bees.

机构信息

Department of Zoology, School of Natural Sciences, Trinity College Dublin, Dublin, Ireland.

出版信息

Mol Ecol Resour. 2012 Nov;12(6):990-8. doi: 10.1111/1755-0998.12001. Epub 2012 Aug 29.

Abstract

As the globally dominant group of pollinators, bees provide a key ecosystem service for natural and agricultural landscapes. Their corresponding global decline thus poses an important threat to plant populations and the ecosystems they support. Bee conservation requires rapid and effective tools to identify and delineate species. Here, we apply DNA barcoding to Irish solitary bees as the first step towards a DNA barcode library for European solitary bees. Using the standard barcoding sequence, we were able to identify 51 of 55 species. Potential problems included a suite of species in the genus Andrena, which were recalcitrant to sequencing, mitochondrial heteroplasmy and parasitic flies, which led to the production of erroneous sequences from DNA extracts. DNA barcoding enabled the assignment of morphologically unidentifiable females of the parasitic genus Sphecodes to their nominal taxa. It also enabled correction of the Irish bee list for morphologically inaccurately identified specimens. However, the standard COI barcode was unable to differentiate the recently diverged taxa Sphecodes ferruginatus and S. hyalinatus. Overall, our results show that DNA barcoding provides an excellent identification tool for Irish solitary bees and should be rolled out to provide a database for solitary bees globally.

摘要

作为全球占主导地位的传粉媒介,蜜蜂为自然和农业景观提供了关键的生态系统服务。因此,它们的全球数量下降对植物种群及其支持的生态系统构成了重要威胁。蜜蜂保护需要快速有效的工具来识别和划定物种。在这里,我们将 DNA 条形码技术应用于爱尔兰独居蜜蜂,作为建立欧洲独居蜜蜂 DNA 条形码文库的第一步。使用标准的条形码序列,我们能够识别出 55 个物种中的 51 个。潜在的问题包括在 Andrena 属中的一系列物种,它们对测序具有抗性,线粒体异质和寄生蝇,这导致从 DNA 提取物中产生错误的序列。DNA 条形码技术能够将寄生属 Sphecodes 中形态无法识别的雌性分配给它们的名称分类单元。它还能够纠正因形态识别不准确而导致的爱尔兰蜜蜂名录中的标本。然而,标准的 COI 条形码无法区分最近分化的 Sphecodes ferruginatus 和 S. hyalinatus 两个分类单元。总的来说,我们的结果表明,DNA 条形码为爱尔兰独居蜜蜂提供了一个极好的识别工具,应该推广开来,为全球的独居蜜蜂提供一个数据库。

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