Global Ecology and Conservation (Sep 2024)
Assessment of fish diversity in the East China Sea hairtail national aquatic germplasm resources conservation zone using DNA barcoding
Abstract
Based on the fishery resource survey data from 2019 to 2022, the species composition and taxonomic diversity of fish in the East China Sea hairtail national aquatic germplasm resources conservation zone (ECSHZ) were studied through the analysis of 185 COI sequences. The results showed that the 185 fish samples collected belonged to 105 species, 21 orders, 46 families, and 89 genera in terms of their taxonomic status. There are discrepancies between morphological identification and genetic identification results for four fish species. The intraspecific genetic distance ranged from 0 % to 1.0 %, with an average value of 0.3 %. Meanwhile, the interspecies within genus distance ranged from 5.3 % to 22.7 %, with an average of 14.5 %. The outcomes of the division using Automatic Barcoding Gap Discovery (ABGD) and Bayesian phylogenetics and phylogeography (BPP) were concordant, identifying a total of 105 species groups. ABGD and BPP have shown that there was no overlap between intra-species variation and inter-species variation, supporting the existence of a barcoding gap. The results demonstrate the superiority of DNA barcoding in species identification. A phylogenetic tree was constructed using the maximum likelihood method based on the COI gene, which revealed certain limitations of COI in representing phylogenetic relationships at the genus and higher taxonomic levels. Another phylogenetic tree was constructed using 13 mitochondrial protein-coding genes with more genetic information, allowing for a better study of evolutionary relationships of ECSHZ fish species. The tree supported that Carangidae, Polynemidae, Paralichthyidae, Pleuronectidae, Sphyraenidae, and Cynoglossidae were clustered in an independent clade, with Priacanthidae and Lobotidae separating from Perciformes. This study offers DNA barcodes for ECSHZ fish species, providing crucial data support for conserving fish diversity.
