Open AccessThe first comprehensive DNA barcode reference library of Chinese Tanytarsus (Diptera: Chironomidae) for environmental DNA metabarcoding
Author(s) -
Lin XiaoLong,
Mo Lidong,
Bu WenJun,
Wang XinHua
Publication year - 2021
Publication title -
diversity and distributions
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.918
H-Index - 118
eISSN - 1472-4642
pISSN - 1366-9516
DOI - 10.1111/ddi.13209
Subject(s) - dna barcoding , barcode , biology , species complex , environmental dna , evolutionary biology , biodiversity , genus , ecology , zoology , phylogenetic tree , genetics , gene , operating system , computer science
Abstract Aim Reliable DNA barcode reference libraries are critical for biodiversity monitoring based on Environmental DNA (eDNA). DNA barcoding has proven successful in species delimitation and association of life stages in many groups of animals, such as non‐biting midges (Chironomidae). We use the genus Tanytarsus van der Wulp, 1874, second largest genus of the family Chironomidae, to test whether DNA barcodes can be used to identify unknown and cryptic species. A comprehensive DNA barcode library will be built to facilitate further eDNA studies for biodiversity monitoring and conservation in freshwater ecosystems. Location Mainland China. Methods In this study, the cytochrome c oxidase subunit 1 (COI) DNA barcodes from 298 individuals, representing 56 morphospecies from China, were analysed, including 136 sequences from previous studies and 162 newly generated DNA barcodes. 298 COI barcodes were applied into the Automatic Barcode Gap Discovery (ABGD) to compare the operational taxonomic units (OTU) number resulting from the Barcode Index Number (BIN) based “Barcode Gap Analysis” and neighbour joining (NJ) tree. Results Total 298 barcode sequences were applied to 66 BINs, including 20 singleton BINs and 46 concordant BINs. ABGD yielded 55 OTUs with a prior intraspecific divergence of Pmax = 3.59%. By Integrating DNA barcodes with morphology, we revealed 21 putative species new to science and two unidentified species from the 56 well‐separated morphospecies. Besides, several cryptic species are uncovered using the NJ tree and TCS haplotype network based on COI DNA barcodes. Main conclusions Our results demonstrate that DNA barcodes enable the discovery and identification of Tanytarsus non‐biting midges. A comprehensive DNA barcode reference library could speed up accurate species delimitation and discovery by providing a reliable resource for taxonomic studies, and improve the application of eDNA metabarcoding in biomonitoring of freshwater ecosystems.