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ZENODO
Dataset . 2014
License: CC 0
Data sources: ZENODO
DRYAD
Dataset . 2014
License: CC 0
Data sources: Datacite
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Data from: Spatial heterogeneity in the Mediterranean Biodiversity Hotspot affects barcoding accuracy of its freshwater fishes

Authors: Geiger, Matthias F.; Herder, Fabian; Monaghan, Michael T.; Almada, Vitor; Barbieri, Roberta; Bariche, Michel; Berrebi, Patrick; +26 Authors

Data from: Spatial heterogeneity in the Mediterranean Biodiversity Hotspot affects barcoding accuracy of its freshwater fishes

Abstract

Incomplete knowledge of biodiversity remains a stumbling block for conservation planning, and even occurs within globally important Biodiversity Hotspots. Although technical advances have boosted the power of molecular biodiversity assessments, the link between DNA sequences and species and the analytics to discriminate entities, remain crucial. Here, we present an analysis of the first DNA barcode library for the freshwater fish fauna of the Mediterranean Biodiversity Hotspot (526 spp.), with virtually complete species coverage (498 spp., 98% extant species). In order to build an identification system supporting conservation, we compared species determination by taxonomists to multiple clustering analyses of DNA barcodes for 3165 specimens. The congruence of barcode clusters with morphological determination was strongly dependent on the method of cluster delineation, but was highest with the GMYC model-based approach (83% of all species recovered as GMYC entity). Overall, genetic-morphological discontinuities suggest the existence of up to 64 previously unrecognized candidate species. We found reduced identification accuracy when using the entire DNA-barcode database, compared to analyses on databases for individual river catchments. This scale effect has important implications for barcoding assessments, and suggests that fairly simple identification pipelines provide sufficient resolution in local applications. We calculated EDGE (Evolutionarily Distinct and Globally Endangered) scores in order to identify candidate species for conservation priority, and argue that the evolutionary content of barcode data can be used to detect priority species for future IUCN assessments. We show that large-scale barcoding inventories of complex biotas are feasible and contribute directly to the evaluation of conservation priorities.

COI sequence alignmentDNA sequence alignment containing all 3165 individuals. Sequence labels contain genus, species, drainage system, country of origin, field or museum ID, and sample ID.3165dryad.fasta

Keywords

Conservation Biology, Wildlife Management

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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Related to Research communities
Italian National Biodiversity Future Center