Identifying species of moths (Lepidoptera) from Baihua Mountain, Beijing, China, using DNA barcodes Xiao F. Liu1,*, Cong H. Yang1,*, Hui L. Han2, Robert D. Ward3 & Ai-bing Zhang1 1College of Life Sciences, Capital Normal University, Beijing 100048, China 2School of Forestry, Experiment Center, Northeast Forestry University, Haerbin 150040, China 3Wealth from Oceans Flagship, CSIRO Marine and Atmospheric Research, GPO Box 1538, Hobart, Tasmania 7001, Australia Keywords Abstract Bayesian, cytochrome c oxidase subunit I, diagnostic character, DNA barcode, genetic DNA barcoding has become a promising means for the identification of organ- distance, Lepidoptera, maximum likelihood, isms of all life-history stages. Currently, distance-based and tree-based methods moths, neighbor joining. are most widely used to define species boundaries and uncover cryptic species. However, there is no universal threshold of genetic distance values that can be Correspondence used to distinguish taxonomic groups. Alternatively, DNA barcoding can deploy Ai-bing Zhang, College of Life Sciences, a “character-based” method, whereby species are identified through the discrete Capital Normal University, Beijing 100048, nucleotide substitutions. Our research focuses on the delimitation of moth spe- China. Tel/Fax: +86-10-68901860; E-mails:
[email protected], cies using DNA-barcoding methods. We analyzed 393 Lepidopteran specimens
[email protected] belonging to 80 morphologically recognized species with a standard cytochrome c oxidase subunit I (COI) sequencing approach, and deployed tree-based, dis- tance-based, and diagnostic character-based methods to identify the taxa. The Funding Information tree-based method divided the 393 specimens into 79 taxa (species), and the This study was supported by Natural Science distance-based method divided them into 84 taxa (species).