Abstract

BackgroundTaxonomic 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.MethodsIndividuals 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 DiscussionThe 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.ConclusionsThis 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.

Highlights

  • Taxonomic uncertainties in the morphological species identification and taxonomic revisions in individual groups are known for all echinoderm classes

  • For the species split into two clusters, the application of the ‘Identification request’ tool allowed for their potential identification and designation. For both A. irregularis clusters we found high similarities (≤1 % divergence) to specimens unpublished in the Barcode of Life Data Systems (BOLD) data base [i.e. cluster 1 with one specimen sampled in Sweden; cluster 2 with specimens sampled in Sweden (1 specimen), Norway (1 specimen) and the Netherlands (2 specimens)]

  • The North Sea specimens of Identification of North Sea echinoderms Of the 94 echinoderm species described for the North Sea, the English Channel and the Irish Sea [57], we investigated more than 1/3 of the species

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Summary

Introduction

Taxonomic uncertainties in the morphological species identification and taxonomic revisions in individual groups are known for all echinoderm classes. Long-term ecosystem surveys such as the German Smallscale Bottom Trawl Survey (GSBTS) [21] are the basis for studying long-term variability of echinoderm populations in the North Sea. Following studies revealed, for example, that r-selected opportunistic ophiuroids play a key role in the succession of benthic communities in the German Bight after extreme events such as cold winters [22, 23]. For example, that r-selected opportunistic ophiuroids play a key role in the succession of benthic communities in the German Bight after extreme events such as cold winters [22, 23] All these ecological ecosystem surveys, heavily rely on the accurate identification of species for a profound understanding of ecosystem functioning

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