Abstract

DNA barcoding by sequencing a standard region of cytochrome c oxidase subunit I (COI) provides an accurate, rapid method for identifying different species. In this study, we provide a molecular taxonomic assessment of demersal fishes in the Bering Sea and Chukchi Sea based on DNA barcoding, and a total of 123 mitochondrial COI partial fragments with a length of 652 bp were obtained. The consensus among all sequences was determined by alignment via a BLAST search in GenBank. Phylogenetic relationships were reconstructed based on neighbor-joining trees and barcoding gaps. The 39 species investigated in this analysis were distributed among 10 families. Five families within Scorpaeniformes including 19 species accounted for almost half of the species. The next largest group was Perciformes, with 9 species, followed by Pleuronectiformes and Gadiformes, with 5 species each, and the smallest number of species belonged to Rajiformes. At the family level, Cottidae was the largest family, followed by Zoarcidae, accounting for 8 species. The other eight families—Gadidae, Pleuronectidae, Psychrolutidae, Agonidae, Liparidae, Ammodytidae, Hexagrammidae, and Rajidae—accounted for a smaller proportion of species. In brief, our study shows that DNA barcodes are an effective tool for studying fish diversity and taxonomy in the Bering Sea and Chukchi Sea. The contribution of DNA barcoding to identifying Arctic fish species may benefit further Arctic fish studies on biodiversity, biogeography and conservation in the future.

Highlights

  • The correct identification of species is a prerequisite for studying fish diversity

  • DNA barcoding is a technology for identifying species based on sequence diversity in cytochrome c oxidase subunit I (COI) (Hebert et al 2003b)

  • After we conducted a molecular evaluation of the fish in the Bering Sea and the Chukchi Sea, COI-based DNA barcoding was proven to be effective for identifying Arctic fish species, with 100% of species exhibiting monophyletic DNA clusters

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Summary

Introduction

The correct identification of species is a prerequisite for studying fish diversity. Traditional morphologybased identification systems rely mostly on expert experience and the integrity of samples(Li et al 2017). There have been many studies showing the effectiveness of the COI gene for species identification in diverse animals (Hebert et al 2003a; Hebert et al 2003b), including fishes (McCusker et al 2013; Ward et al 2005). This technology is free from excessive dependence on experience and can allow the automation and standardization of specimen identification to be realized. Recent studies have indicated that this technology is highly reliable and efficient in many fish groups, including freshwater fishes (Keskin et al 2013), coral reef fishes (Ward et al 2005), ocean fishes (McCusker et al 2013), Antarctic fishes (Li et al 2018), and Arctic fishes (Mecklenburg et al 2010)

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