ArticleScientific reports2018
Cryptic species in a well-known habitat: applying taxonomics to the amphipod genus Epimeria (Crustacea, Peracarida).
Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed, 20 citations in OpenAlex.
- A taxonomically reliable DNA barcode reference library for North Sea macrobenthos.Scientific data · 2025Article
- The discovery of an overseen pygmy backswimmer in Europe (Heteroptera, Nepomorpha, Pleidae).Scientific reports · 2024Article
- Describing novel mitochondrial genomes of Antarctic amphipods.Mitochondrial DNA. Part B, Resources · 2022Article
- Continental-scale patterns of hyper-cryptic diversity within the freshwater model taxon Gammarus fossarum (Crustacea, Amphipoda).Scientific reports · 2020Article
- Multilevel fine-scale diversity challenges the 'cryptic species' concept.Scientific reports · 2019Article
- Taxonomy through the lens of neutral helium microscopy.Scientific reports · 2019Article
Corrections and comments
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Authors and funding
7 authors at 5 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Taxonomy plays a central role in biological sciences. It provides a communication system for scientists as it aims to enable correct identification of the studied organisms. As a consequence, species descriptions should seek to include as much available information as possible at species level to follow an integrative concept of 'taxonomics'. Here, we describe the cryptic species Epimeria frankei sp. nov. from the North Sea, and also redescribe its sister species, Epimeria cornigera. The morphological information obtained is substantiated by DNA barcodes and complete nuclear 18S rRNA gene sequences. In addition, we provide, for the first time, full mitochondrial genome data as part of a metazoan species description for a holotype, as well as the neotype. This study represents the first successful implementation of the recently proposed concept of taxonomics, using data from high-throughput technologies for integrative taxonomic studies, allowing the highest level of confidence for both biodiversity and ecological research.
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