Towards a better future for DNA barcoding: Evaluating monophyly‐ and distance‐based species identification using COI gene fragments of Dacini fruit flies

Author:

Doorenweerd Camiel1ORCID,San Jose Michael1ORCID,Leblanc Luc2,Barr Norman3,Geib Scott M.4,Chung Arthur Y. C.5,Dupuis Julian R.6ORCID,Ekayanti Arni7,Fiegalan Elaida8,Hemachandra Kennantudawage S.9,Aftab Hossain Mohammad10,Huang Chia‐Lung11,Hsu Yu‐Feng12,Morris Kimberly Y.4,Maryani A. Mustapeng Andi5,Niogret Jerome13,Pham Thai Hong1415,Thi Nguyen Nhien16,Sirisena Uda G. A. I.17,Todd Terrence3,Rubinoff Daniel1

Affiliation:

1. Entomology Section, Department of Plant and Environmental Protection Sciences, College of Tropical Agriculture and Human Resources University of Hawaiʻi at Mānoa Honolulu Hawaii USA

2. Department of Entomology, Plant Pathology and Nematology University of Idaho Moscow Idaho USA

3. United States Department of Agriculture, Animal and Plant Health Inspection Service, Plant Protection and Quarantine, Science & Technology, Insect Management and Molecular Diagnostics Laboratory Edinburg Texas USA

4. Tropical Pest Genetics and Molecular Biology Research Unit Daniel K. Inouye U.S. Pacific Basin Agricultural Center, USDA Agricultural Research Services Hilo Hawaii USA

5. Forest Research Centre, Sabah Forestry Department Sandakan Sabah Malaysia

6. Department of Entomology University of Kentucky Lexington Kentucky USA

7. Niogret Ecology Consulting LLC Wotu, Luwu Timor Sulawesi Seleaton Indonesia

8. Department of Crop Protection, College of Agriculture Central Luzon State University Science City of Muñoz Nueva Ecija Philippines

9. Faculty of Agriculture University of Peradeniya Peradeniya Sri Lanka

10. Insect Biotechnology Division Institute of Food and Radiation Biology, Bangladesh Atomic Energy Commission Dhaka Bangladesh

11. Institute of Oceanography Minjiang University Fuzhou Fujian China

12. Department of Life Science National Taiwan Normal University Taipei Taiwan, ROC

13. Centre for Tropical Environmental & Sustainability Science, Nguma‐Bada Campus James Cook University Smithfield Queensland Australia

14. Mientrung Institute for Scientific Research Vietnam Academy of Science and Technology (VAST) Hue Vietnam

15. Vietnam National Museum of Nature & Graduate School of Science and Technology, VAST Hanoi Vietnam

16. Faculty of Biotechnology, Vietnam National University of Agriculture Hanoi Vietnam

17. Department of Plant Sciences, Faculty of Agriculture Rajarata University of Sri Lanka Mihintale Sri Lanka

Abstract

AbstractThe utility of a universal DNA ‘barcode’ fragment (658 base pairs of the Cytochrome C Oxidase I [COI] gene) has been established as a useful tool for species identification, and widely criticized as one for understanding the evolutionary history of a group. Large amounts of COI sequence data have been produced that hold promise for rapid species identification, for example, for biosecurity. The fruit fly tribe Dacini holds about a thousand species, of which 80 are pests of economic concern. We generated a COI reference library for 265 species of Dacini containing 5601 sequences that span most of the COI gene using circular consensus sequencing. We compared distance metrics versus monophyly assessments for species identification and although we found a ‘soft’ barcode gap around 2% pairwise distance, the exceptions to this rule dictate that a monophyly assessment is the only reliable method for species identification. We found that all fragments regularly used for Dacini fruit fly identification >450 base pairs long provide similar resolution. 11.3% of the species in our dataset were non‐monophyletic in a COI tree, which is mostly due to species complexes. We conclude with recommendations for the future generation and use of COI libraries. We revise the generic assignment of Dacus transversus stat. rev. Hardy 1982, and Dacus perpusillus stat. rev. Drew 1971 and we establish Dacus maculipterus White 1998 syn. nov. as a junior synonym of Dacus satanas Liang et al. 1993.

Funder

U.S. Department of Agriculture

Publisher

Wiley

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