a Department of Natural History, NTNU University Museum, Norwegian University of Science and Technology, NO-7491 Trondheim, Norway.
b Centre for Biodiversity Genomics, Biodiversity Institute of Ontario, University of Guelph, Guelph, ON N1G 2W1, Canada.
Genome. 2018 Nov;61(11):787-796. doi: 10.1139/gen-2018-0100. Epub 2018 Oct 26.
Chironomid flies (non-biting midges) are among the most abundant and diverse animals in Arctic regions, but detailed analyses of species distributions and biogeographical patterns are hampered by challenging taxonomy and reliance on morphology for species-level identification. Here we take advantage of available DNA barcode data of Arctic Chironomidae in BOLD to analyse similarities in species distributions across a northern Nearctic - West Palearctic gradient. Using more than 260 000 barcodes representing 4666 BINs (Barcode Index Numbers) and 826 named species (some with interim names) from a combination of public and novel data, we show that the Greenland chironomid fauna shows affinities to both the Nearctic and the West Palearctic regions. While raw taxon counts indicate a strong Greenland - North American affinity, comparisons using Chao's dissimilarity metric support a slightly higher similarity between Greenland and West Palearctic chironomid communities. Results were relatively consistent across different definitions of species taxonomic units, including morphologically determined species, BINs, and superBINs based on a ∼4.5% threshold. While most taxa found in Greenland are shared with at least one other region, reflecting circum-Arctic dispersal, our results also reveal that Greenland harbours a small endemic biodiversity. Our exploratory study showcases how DNA barcoding efforts using standardized gene regions contribute to an understanding of broad-scale patterns in biogeography by enabling joint analysis of public DNA sequence data derived from diverse prior studies.
摇蚊(不叮咬的蠓)是北极地区最丰富和最多样化的动物之一,但由于分类学的挑战以及对形态学的依赖,对物种分布和生物地理模式的详细分析受到了阻碍。在这里,我们利用 BOLD 中现有的北极摇蚊科 DNA 条码数据,分析了北极地区近北极-西古北区梯度上的物种分布相似性。利用超过 26 万条代表 4666 个 BIN(条码索引编号)和 826 个命名物种(其中一些是临时名称)的条码数据,这些数据来自公共和新数据的组合,我们表明格陵兰摇蚊动物群与近北极区和西古北区都有亲缘关系。虽然原始分类单元计数表明格陵兰与北美有很强的亲和力,但使用 Chao 不相似性度量的比较支持格陵兰和西古北区摇蚊群落之间的相似性略高。结果在不同的物种分类单元定义下相对一致,包括形态确定的物种、BIN 和基于约 4.5%阈值的超级 BIN。虽然在格陵兰发现的大多数类群与至少一个其他地区共享,反映了环绕北极的扩散,但我们的结果也表明,格陵兰拥有一个小的特有生物多样性。我们的探索性研究展示了使用标准化基因区域的 DNA 条码工作如何通过能够联合分析来自不同先前研究的公共 DNA 序列数据,为理解生物地理学的大尺度模式做出贡献。