Target capture efficiently resolves the long-standing taxonomic dead end of Diachrysia moths

Zenodo (CERN European Organization for Nuclear Research) 2026 Dataset Open access

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Authors: Maria Khan, Mukta Joshi, Marko Mutanen, Nils Ryrholm, Peter Huemer, Marianne Espeland, Vladislav Ivanov
DOI: 10.5281/zenodo.18607029
Cited by: 0

Abstract

This is the dataset for the manuscript entitled "Target capture of 1,753 single-copy orthologs efficiently resolves the long-standing taxonomic dead end of Diachrysia moths. The Diachrysia cryptic moth complex has overlapping morphological characteristics, which complicates species identification and renders their status as separate species debatable. This study helps delimit the two species, namely Diachrysia chrysitis and Diachrysia stenochrysis, based on genomic data using the Target capture method.

Fields of Study & Subjects

Lepidoptera: Biology and Taxonomy Invertebrate Taxonomy and Ecology Diptera species taxonomy and behavior

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
11 February 2026
Language
EN
Document type
Dataset