In:
Biodiversity Data Journal, Pensoft Publishers, Vol. 11 ( 2023-01-19)
Abstract:
The Trichoptera are an important component of freshwater ecosystems. In the Iberian Peninsula, 380 taxa of caddisflies are known, with nearly 1/3 of the total species being endemic in the region. A reference collection of morphologically identified Trichoptera specimens, representing 142 Iberian taxa, was constructed. The InBIO Barcoding Initiative (IBI) Trichoptera 01 dataset contains records of 438 sequenced specimens. The species of this dataset correspond to about 37% of Iberian Trichoptera species diversity. Specimens were collected between 1975 and 2018 and are deposited in the IBI collection at the CIBIO (Research Center in Biodiversity and Genetic Resources, Portugal) or in the collection Marcos A. González at the University of Santiago de Compostela (Spain). Twenty-nine species, from nine different families, were new additions to the Barcode of Life Data System (BOLD). A success identification rate of over 80% was achieved when comparing morphological identifications and DNA barcodes for the species analysed. This encouraging step advances incorporation of informed Environmental DNA tools in biomonitoring schemes, given the shortcomings of morphological identifications of larvae and adult Caddisflies in such studies. DNA barcoding was not successful in identifying species in six Trichoptera genera: Hydropsyche (Hydropsychidae), Athripsodes (Leptoceridae), Wormaldia (Philopotamidae), Polycentropus (Polycentropodidae) Rhyacophila (Rhyacophilidae) and Sericostoma (Sericostomatidae). The high levels of intraspecific genetic variability found, combined with a lack of a barcode gap and a challenging morphological identification, rendered these species as needing additional studies to resolve their taxonomy.
Type of Medium:
Online Resource
ISSN:
1314-2828
,
1314-2836
DOI:
10.3897/BDJ.11.e97484
DOI:
10.3897/BDJ.11.e97484.figure1
DOI:
10.3897/BDJ.11.e97484.figure2
DOI:
10.3897/BDJ.11.e97484.suppl1
DOI:
10.3897/BDJ.11.e97484.suppl2
DOI:
10.3897/BDJ.11.e97484.suppl3
DOI:
10.3897/BDJ.11.e97484.suppl4
DOI:
10.3897/BDJ.11.e97484.suppl5
Language:
Unknown
Publisher:
Pensoft Publishers
Publication Date:
2023
detail.hit.zdb_id:
2736709-5
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