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Evaluation of identification methods for cryptic Bactrocera dorsalis (Diptera: Tephritidae) specimens: combining morphological and molecular techniques.

Authors :
Charbonnel E
Chapuis MP
Taddei A
Schutze MK
Starkie ML
Benoit L
Mouttet R
Ouvrard D
Source :
Journal of economic entomology [J Econ Entomol] 2023 Dec 11; Vol. 116 (6), pp. 2193-2200.
Publication Year :
2023

Abstract

The potential for population genomics to elucidate invasion pathways of a species is limited by taxonomic identification issues. The Oriental fruit fly pest, Bactrocera dorsalis (Hendel) belongs to a complex in which several sympatric species are attracted to the same lure used in trapping and are morphologically cryptic and/or reported to hybridize. In this study, we evaluated the taxonomic ambiguity between B. dorsalis and 2 major cryptic species, based on morphological expertise and 289 target specimens sampled across the whole distribution range. Specimens were then subjected to DNA sequence analyses of the COI mitochondrial barcode and the EIF3L nuclear marker to evaluate the potential for molecular identification, in particular for specimens for which morphological identification was inconclusive. To this aim, we produced reference datasets with DNA sequences from target specimens whose morphological identification was unambiguous, which we complemented with 56 new DNA sequences from closest relatives and 76 published and curated DNA sequences of different species in the complex. After the necessary morphological observation, about 3.5% of the target dataset and 47.6% of the specimens from Southeast Asian islands displayed ambiguous character states shared with B. carambolae and/or B. occipitalis. Critical interpretation of DNA sequence data solved morphological ambiguities only when combining both mitochondrial and nuclear markers. COI discriminated B. dorsalis from 5 species; EIF3L and ITS from another species. We recommend this procedure to ensure correct identification of B. dorsalis specimens in population genetics studies and surveillance programs.<br /> (© The Author(s) 2023. Published by Oxford University Press on behalf of Entomological Society of America.)

Details

Language :
English
ISSN :
1938-291X
Volume :
116
Issue :
6
Database :
MEDLINE
Journal :
Journal of economic entomology
Publication Type :
Academic Journal
Accession number :
37824174
Full Text :
https://doi.org/10.1093/jee/toad178