Abstract
Mayflies, stoneflies and caddisflies (Ephemeroptera, Plecoptera and Trichoptera) are prominent representatives of aquatic macroinvertebrates, commonly used as indicator organisms for water quality and ecosystem assessments. However, unambiguous morphological identification of EPT species, especially their immature life stages, is a challenging, yet fundamental task. A comprehensive DNA barcode library based upon taxonomically well-curated specimens is needed to overcome the problematic identification. Once available, this library will support the implementation of fast, cost-efficient and reliable DNA-based identifications and assessments of ecological status. This study represents a major step towards a DNA barcode reference library as it covers for two-thirds of Germany's EPT species including 2,613 individuals belonging to 363 identified species. As such, it provides coverage for 38 of 44 families (86%) and practically all major bioindicator species. DNA barcode compliant sequences (500bp) were recovered from 98.74% of the analysed specimens. Whereas most species (325, i.e., 89.53%) were unambiguously assigned to a single Barcode Index Number (BIN) by its COI sequence, 38 species (18 Ephemeroptera, nine Plecoptera and 11 Trichoptera) were assigned to a total of 89 BINs. Most of these additional BINs formed nearest neighbour clusters, reflecting the discrimination of geographical subclades of a currently recognized species. BIN sharing was uncommon, involving only two species pairs of Ephemeroptera. Interestingly, both maximum pairwise and nearest neighbour distances were substantially higher for Ephemeroptera compared to Plecoptera and Trichoptera, possibly indicating older speciation events, stronger positive selection or faster rate of molecular evolution.
Dokumententyp: | Zeitschriftenartikel |
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Fakultät: | Biologie > Department Biologie II |
Fakultätsübergreifende Einrichtungen: | GeoBio-Center |
Themengebiete: | 500 Naturwissenschaften und Mathematik > 570 Biowissenschaften; Biologie
500 Naturwissenschaften und Mathematik > 500 Naturwissenschaften |
ISSN: | 1755-098X |
Sprache: | Englisch |
Dokumenten ID: | 54642 |
Datum der Veröffentlichung auf Open Access LMU: | 14. Jun. 2018, 09:56 |
Letzte Änderungen: | 04. Nov. 2020, 13:34 |