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1000 Titel
  • Species identification of echinoderms from the North Sea by combining morphology and molecular data
1000 Autor/in
  1. Laakmann, Silke |
  2. Boos, Karin |
  3. Knebelsberger, Thomas |
  4. Raupach, Michael J. |
  5. Neumann, Hermann |
1000 Erscheinungsjahr 2016
1000 LeibnizOpen
1000 Art der Datei
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2016-12-09
1000 Erschienen in
1000 Quellenangabe
  • 70:18
1000 FRL-Sammlung
1000 Copyrightjahr
  • 2016
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.1186/s10152-016-0468-5 |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • BACKGROUND: Taxonomic uncertainties in the morphological species identification and taxonomic revisions in individual groups are known for all echinoderm classes. These uncertainties in morphological species identification and discrimination have spawned the application of molecular genetic identification techniques. However, as the fundamental step to allow and ensure future molecular species identification, valid and comprehensive reference library entries comprising morphological and molecular species information together with various metadata are essentially needed. In our study we compare morphological and molecular genetic species identification techniques for representatives of North Sea echinoderm classes, i.e. the Asteroidea, Ophiuroidea, Echinoidea and Holothuroidea. METHODS: Individuals were sampled during different surveys in different regions of the North Sea, identified to species level based on morphological diagnostic features, and were genetically analysed using a fragment of the mitochondrial cytochrome c oxidase subunit I (COI). RESULTS AND DISCUSSION: The morphological determination revealed 32 species including one taxon determined only to genus level. In contrast to this, the COI analysis supported 34 monophyletic clades with pronounced differences between the intra- and the inter-specific genetic variability (a barcoding gap of 4.93 %) with highest intra-specific variabilities found in the ophiuroid species Amphiura filiformis, A. chiajei and Ophiura sarsii. In 94 % of the investigated species, morphological identification and COI sequence clusters were congruent whereas for two asteroid species we found an underestimated diversity. For Astropecten irregularis, one of the most common starfish species of the North Sea, we found two distinct and possibly depth-related clades, probably sibling species, differing by 11.1–11.9 % sequence divergences (p-distances). For two starfish individuals, morphologically identified as Henricia sanguinolenta, the COI analysis revealed two monophyletic clades, of which one was classified as H. cf. oculata by comparison to published sequences. CONCLUSIONS: This newly established sequence reference library for the North Sea Echinodermata allows and ensures future molecular species identification for various life-cycle stages including juveniles and meroplanktonic larvae and provides sequences for phylogeographic studies and the detection of sibling as well as cryptic species.
1000 Sacherschließung
lokal Echinodermata
lokal Cryptic species
lokal Mitochondrial DNA
lokal North Sea
lokal Biodiversity
lokal Species identification
1000 Fachgruppe
  1. Biologie |
1000 Fächerklassifikation (DDC)
1000 Liste der Beteiligten
  1. https://frl.publisso.de/adhoc/creator/TGFha21hbm4sIFNpbGtl|https://frl.publisso.de/adhoc/creator/Qm9vcywgS2FyaW4=|https://frl.publisso.de/adhoc/creator/S25lYmVsc2JlcmdlciwgVGhvbWFz|https://frl.publisso.de/adhoc/creator/UmF1cGFjaCwgTWljaGFlbCBKLg==|https://frl.publisso.de/adhoc/creator/TmV1bWFubiwgSGVybWFubg==
1000 Förderer
  1. Federal Ministry of Education and Research
  2. Government of Lower Saxony
1000 Fördernummer
  1. 03F0499A
  2. -
1000 Förderprogramm
  1. -
  2. -
1000 Dateien
1000 Objektart article
1000 Beschrieben durch
1000 @id frl:6408594.rdf
1000 Erstellt am 2018-06-29T12:14:32.633+0200
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1000 Zuletzt bearbeitet Mon Jul 02 15:46:38 CEST 2018
1000 Objekt bearb. Fri Jun 29 12:15:56 CEST 2018
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1000 Oai Id
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