Abstract

DNA barcoding, based on a fragment of cytochrome c oxidase I (COI) mtDNA, is as an effective molecular tool for identification, discovery, and biodiversity assessment for most animals. However, multiple gene markers coupled with more sophisticated analytical approaches may be necessary to clarify species boundaries in cases of cryptic diversity or morphological plasticity. Using 339 moths collected from mountains surrounding Beijing, China, we tested a pipeline consisting of two steps: (1) rapid morphospecies sorting and screening of the investigated fauna with standard COI barcoding approaches; (2) additional analyses with multiple molecular markers for those specimens whose morphospecies and COI barcode grouping were incongruent. In step 1, 124 morphospecies were delimited into 116 barcode units, with 90% of the conflicts being associated with specimens identified to the genus Hypena. In step 2, 55 individuals representing all 12 Hypena morphospecies were analysed using COI, COII, 28S, EF-1a, Wgl sequences or their combinations with the BPP (Bayesian Phylogenetics and Phylogeography) multigene species delimitation method. The multigene analyses supported the delimitation of 5 species, consistent with the COI analysis. We conclude that a two-step barcoding analysis pipeline is able to rapidly characterize insect biodiversity and help to elucidate species boundaries for taxonomic complexes without jeopardizing overall project efficiency by substantially increasing analytical costs.

Details

Title
A two-step DNA barcoding approach for delimiting moth species: moths of Dongling Mountain (Beijing, China) as a case study
Author
Qian, Jin 1 ; Xi-Min, Hu 2 ; Hui-Lin, Han 3 ; Chen, Fen 1 ; Wei-Jia, Cai 1 ; Qian-Qian Ruan 1 ; Liu, Bo 1 ; Gui-Jie Luo 1 ; Wang, Hao 1 ; Liu, Xu 1 ; Ward, Robert D 4 ; Chun-Sheng, Wu 5 ; John-James, Wilson 6   VIAFID ORCID Logo  ; Zhang, Ai-Bing 2 

 Suqian Institute of Agricultural Sciences, Jiangsu Academy of Agricultural Sciences, Suqian, Jiangsu, China 
 College of Life Sciences, Capital Normal University, Beijing, China 
 School of Forestry, Experiment Center, Northeast Forestry University, Haerbin, China 
 CSIRO National Research Collections Australia, Hobart, Tasmania, Australia 
 Institute of Zoology, Chinese Academy of Sciences, Beijing, China 
 School of Applied Sciences, Faculty of Computing, Engineering and Science, University of South Wales, Pontypridd, United Kingdom; Department of Microbiology and Parasitology, Faculty of Medical Science, Naresuan University, Phitsanulok, Thailand 
Pages
1-12
Publication year
2018
Publication date
Sep 2018
Publisher
Nature Publishing Group
e-ISSN
20452322
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2111726542
Copyright
© 2018. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.