Museum of Natural History of Neuchâtel, Neuchâtel, Switzerland.
info fauna - CSCF, Neuchâtel, Switzerland.
PLoS One. 2018 Dec 21;13(12):e0208639. doi: 10.1371/journal.pone.0208639. eCollection 2018.
Butterfly monitoring and Red List programs in Switzerland rely on a combination of observations and collection records to document changes in species distributions through time. While most butterflies can be identified using morphology, some taxa remain challenging, making it difficult to accurately map their distributions and develop appropriate conservation measures. In this paper, we explore the use of the DNA barcode (a fragment of the mitochondrial gene COI) as a tool for the identification of Swiss butterflies and forester moths (Rhopalocera and Zygaenidae). We present a national DNA barcode reference library including 868 sequences representing 217 out of 224 resident species, or 96.9% of Swiss fauna. DNA barcodes were diagnostic for nearly 90% of Swiss species. The remaining 10% represent cases of para- and polyphyly likely involving introgression or incomplete lineage sorting among closely related taxa. We demonstrate that integrative taxonomic methods incorporating a combination of morphological and genetic techniques result in a rate of species identification of over 96% in females and over 98% in males, higher than either morphology or DNA barcodes alone. We explore the use of the DNA barcode for exploring boundaries among taxa, understanding the geographical distribution of cryptic diversity and evaluating the status of purportedly endemic taxa. Finally, we discuss how DNA barcodes may be used to improve field practices and ultimately enhance conservation strategies.
瑞士的蝴蝶监测和红色名录计划依赖于观察和采集记录的结合,以记录物种分布随时间的变化。虽然大多数蝴蝶可以通过形态学进行鉴定,但有些类群仍然具有挑战性,难以准确绘制它们的分布地图并制定适当的保护措施。在本文中,我们探讨了使用 DNA 条码(线粒体基因 COI 的一个片段)作为鉴定瑞士蝴蝶和林蛾(鳞翅目和天蛾科)的工具。我们展示了一个全国性的 DNA 条码参考图书馆,其中包含 868 个序列,代表 224 种常驻物种中的 217 种,即瑞士动物区系的 96.9%。DNA 条码对近 90%的瑞士物种具有诊断意义。剩下的 10%代表可能涉及近缘种间基因渗入或不完全谱系分选的并系和多系现象。我们证明,整合分类学方法,结合形态学和遗传技术,可使雌性物种的鉴定率超过 96%,雄性物种的鉴定率超过 98%,高于形态学或 DNA 条码单独使用的鉴定率。我们探讨了 DNA 条码在探索分类群之间的界限、了解隐存多样性的地理分布以及评估所谓的特有类群的地位方面的应用。最后,我们讨论了 DNA 条码如何用于改进实地工作,最终增强保护策略。