Spelda Jörg, Reip Hans S, Oliveira-Biener Ulla, Melzer Roland R
Section Arthropoda Varia, Bavarian State Collection of Zoology, Münchhausenstraße 21, 81247 Munich, Germany.
Zookeys. 2011(156):123-39. doi: 10.3897/zookeys.156.2176. Epub 2011 Dec 20.
We give a first account of our ongoing barcoding activities on Bavarian myriapods in the framework of the Barcoding Fauna Bavarica project and IBOL, the International Barcode of Life. Having analyzed 126 taxa (including 122 species) belonging to all major German chilopod and diplopod lineages, often using four or more specimens each, at the moment our species stock includes 82% of the diplopods and 65% of the chilopods found in Bavaria, southern Germany. The partial COI sequences allow correct identification of more than 95% of the current set of Bavarian species. Moreover, most of the myriapod orders and families appear as distinct clades in neighbour-joining trees, although the phylogenetic relationships between them are not always depicted correctly. We give examples of (1) high interspecific sequence variability among closely related species; (2) low interspecific variability in some chordeumatidan genera, indicating that recent speciations cannot be resolved with certainty using COI DNA barcodes; (3) high intraspecific variation in some genera, suggesting the existence of cryptic lineages; and (4) the possible polyphyly of some taxa, i.e. the chordeumatidan genus Ochogona. This shows that, in addition to species identification, our data may be useful in various ways in the context of species delimitations, taxonomic revisions and analyses of ongoing speciation processes.
在“巴伐利亚动物条形码计划”以及国际生命条形码联盟(IBOL)的框架下,我们首次介绍了正在进行的关于巴伐利亚多足类动物的条形码研究活动。我们分析了属于德国所有主要唇足类和倍足类谱系的126个分类单元(包括122个物种),每个分类单元通常使用四个或更多标本。目前,我们的物种库涵盖了德国南部巴伐利亚发现的82%的倍足类动物和65%的唇足类动物。部分细胞色素氧化酶亚基I(COI)序列能够正确鉴定当前巴伐利亚物种集合中超过95%的物种。此外,在邻接树中,大多数多足类目的和科都呈现为不同的分支,尽管它们之间的系统发育关系并不总是能被正确描绘。我们给出了以下几个例子:(1)亲缘关系密切的物种之间种间序列变异性高;(2)某些弦马陆科属种间变异性低,这表明使用COI DNA条形码无法确定近期形成的物种;(3)某些属内种内变异高,这表明可能存在隐存谱系;(4)某些分类单元可能具有多系性,即弦马陆科的奥乔戈纳属。这表明,除了物种鉴定外,我们的数据在物种界定、分类修订以及正在进行的物种形成过程分析等方面可能有多种用途。