DNA barcodes and morphology reveal a hybrid hawkmoth in Tahiti (Lepidoptera : Sphingidae)
R. Rougerie A E , Jean Haxaire B , Ian J. Kitching C and Paul D. N. Hebert D
+ Author Affiliations
- Author Affiliations
A Laboratoire d’Ecologie, EA 1293 ECODIV, UFR Sciences et Techniques, Université de Rouen, 76821 Mont Saint Aignan Cedex, France.
B Honorary Attaché, Muséum national d’Histoire naturelle de Paris, Le Roc, F-47310 Laplume, France.
C Department of Life Sciences, Natural History Museum, London, SW7 5BD, UK.
D Department of Integrative Biology & Biodiversity Institute of Ontario, University of Guelph, Guelph, ON, N1G 2W1, Canada.
E Corresponding author. Email: rrougeri@gmail.com
Invertebrate Systematics 26(6) 445-450 https://doi.org/10.1071/IS12029
Submitted: 17 April 2012 Accepted: 13 September 2012 Published: 19 December 2012
Journal Compilation © CSIRO Publishing 2012 Open Access CC BY-NC-ND
Abstract
Interspecific hybridisation is a rare but widespread phenomenon identified as a potential complicating factor for the identification of species through DNA barcoding. Hybrids can, however, also deceive morphology-based taxonomy, resulting in the description of invalid species based on hybrid specimens. As the result of an unexpected case of discordance between barcoding results and current morphology-based taxonomy, we discovered an example of such a hybrid ‘species’ in hawkmoths. By combining barcodes, morphology and a nuclear marker, we show that Gnathothlibus collardi Haxaire, 2002 is actually an F1 hybrid between two closely related species that co-occur on Tahiti. In accordance with the International Code of Zoological Nomenclature, the taxon G. collardi is thus invalid as a species. This study demonstrates the potential of DNA barcodes to detect overlooked hybrid taxa. With the growth of sequence libraries, we anticipate that more unsuspected hybrid species will be detected, particularly among those taxa that are very rare, such as those known from only the type specimen.
Additional keywords: 28S rDNA, COI, hybrid detection.
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