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ARS Home » Pacific West Area » Hilo, Hawaii » Daniel K. Inouye U.S. Pacific Basin Agricultural Research Center » Tropical Pest Genetics and Molecular Biology Research Unit » Research » Publications at this Location » Publication #413527

Research Project: Advancing Molecular Pest Management, Diagnostics, and Eradication of Fruit Flies and Invasive Species

Location: Tropical Pest Genetics and Molecular Biology Research Unit

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

Author
item DOORENWEERD, CAMIEL - University Of Hawaii
item SAN JOSE, MICHAEL - University Of Hawaii
item LEBLANC, LUC - University Of Idaho
item BARR, NORMAN - Animal And Plant Health Inspection Service (APHIS)
item Geib, Scott
item CHUNG, ARTHUR - Consultant
item DUPUIS, JULIAN - University Of Kentucky
item EKAYANTI, ARNI - Niogret Ecology Consulting
item FIEGALAN, ELAIDA - Luzon State University
item HEMACHANDRA, KENNANTUDAWAGE - University Of Peradeniya
item AFTAB HOSSAIN, MOHAMMAD - Bangladesh Atomic Energy Commission
item HUANG, CHIA-LUNG - Minjiang University
item HSU, YU-FENG - National Taiwan University
item Morris, Kimberly
item MUSTAPENG, ANDI MARYANI - Consultant
item NIOGRET, JEROME - Niogret Ecology Consulting
item HONG PHAM, THAI - Vietnam Academy Of Science And Technology (VAST)
item THI NGUYEN, NHIEN - Vietnam Academy Of Science And Technology (VAST)
item SIRISENA, UDA - Rajarata University Of Sri Lanka
item TODD, TERRENCE - Animal And Plant Health Inspection Service (APHIS)
item RUBINOFF, DANIEL - University Of Hawaii

Submitted to: Molecular Ecology Resources
Publication Type: Peer Reviewed Journal
Publication Acceptance Date: 6/17/2024
Publication Date: 7/2/2024
Citation: Doorenweerd, C., San Jose, M., Leblanc, L., Barr, N., Geib, S.M., Chung, A.Y., Dupuis, J.R., Ekayanti, A., Fiegalan, E., Hemachandra, K.S., Aftab Hossain, M., Huang, C., Hsu, Y., Morris, K.E., Mustapeng, A.A., Niogret, J., Hong Pham, T., Thi Nguyen, N., Sirisena, U.G., Todd, T., Rubinoff, D. 2024. Towards a better future for DNA barcoding: Evaluating monophyly- and distance-based species identification using COI gene fragments of Dacini fruit flies. Molecular Ecology Resources. 24(6). Article e13987. https://doi.org/10.1111/1755-0998.13987.
DOI: https://doi.org/10.1111/1755-0998.13987

Interpretive Summary: DNA barcoding is the process of sequencing the same region of the mitochondrial genome (Cytochrome C Oxidase I) and using variation of the sequence of that region to distinguish species from each other (typically at 2% variability). Applying state of the art barcode sequencing to over 5,000 individuals of the pest group Dacini (True fruit flies), we evaluate the utility of DNA barcoding to define species across this important group. We find in some cases, we are able to use DNA barcoding to refine our assignments of species, such as Dacus transversus and D. perpusillus, or alternatively combine (synonymize) species such as D. maculipterus and D. satanas. Alternatively, there are some species for which COI is not suitable, or explore which fragments are best suited to be used for species identifications. We recommend specific fragments of COI to be used for Dacini flies to generate the most robust data sets for species identifications, but they are not without some limitations and considerations that should be maintained during analysis.

Technical Abstract: The utility of a universal DNA ‘barcode’ fragment (658 base pairs of the Cytochrome C Oxidase I [COI]) has been established as a useful tool for species identification – and not for understanding the evolutionary history of a group. Since the first barcoding paper in 2003, large amounts of COI sequence data have been produced that hold promise for rapid species identification, e.g., for biosecurity. The fruit fly tribe Dacini holds about a thousand species, of which eighty are pests of economic concern. We generated a COI reference library for 265 species of Dacini containing 5,601 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 find a ‘soft’ barcode gap around 2% parwise distance, the exceptions to this rule dictate that a monophyly assessment is the only reliable method for species identification. We additionally compared the information content of four different fragments of COI that are regularly used for Dacini fruit fly identification, and found that all fragments >450 base pairs long provide similar resolution. After extensive efforts of minimizing operational error, 11.3% of the species in our dataset were non-monophyletic in a COI tree, which is likely mostly due to introgression and/or incomplete lineage sorting of the mitochondrial DNA. We conclude with recommendations for future generation and use of COI libraries. Based on both morphology and COI data, 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.