Dataset for: Moore MD and Stevens MI (2026) Hepialid moth diversity in Australia further highlighted by five new species in the endemic genus Abantiades Herrich-Schäffer (Lepidoptera: Hepialidae). Insects 17: xxx. https://doi.org/10.3390/insectsxxxxxx

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Authors: Mark Stevens
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Abstract

All input and output files for results from IQ-tree. See Trifinopoulos J, Nguyen LT, von Haeseler A, Minh BQ (2016) Nucl. Acids Res. 44 (W1): W232-W235. doi: 10.1093/nar/gkw256Supplementary Materials: The following supporting information can also be downloaded at: https://www.mdpi.com/article/doi/s1: Table S1. Specimen identification, Genbank accession numbers, collection/specimen data, for all specimens used in the morphological and molecular analyses (see Figure 2 and Table 1). Table S2. Uncorrected patristic-distances between all 58 sequences from 49 Abantiades species and the five outgroup taxa for the 658 bp mtDNA (COI) fragment. Haplotypes are indicated by their corresponding codes (1-58).AbstractWe describe five new species of Abantiades from Australia, four from Western Australia (WA) and one from south-east Queensland. Of the four WA species, three are from the Geraldton Sandplains biogeographic region and the fourth was found in the Eastern Goldfields region. The Queensland species comes from the south-eastern Queensland biogeographic region. Our five new species demonstrated the importance of wing morphology, genitalia and antennal structure in diagnosing Abantiades species. However, antennal structure as a diagnostic character defining these species highlighted historical problems that, in part, were used to erect Trictena and Bordaia, recently synonymised into Abantiades. To explore this further we used mtDNA COI ‘barcode’ sequences and compared our new species with all currently available species for the genus Abantiades.

Fields of Study & Subjects

Lepidoptera: Biology and Taxonomy Hymenoptera taxonomy and phylogeny Entomological Studies and Ecology

Publication details

Journal / source
Figshare
Publication date
8 March 2026
Language
EN
Document type
Dataset