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Data from: A multilocus analysis of Epicopeiidae (Lepidoptera, Geometroidea) provides new insights into their relationships and the evolutionary history of mimicry

Citation

Zhang, Yuan et al. (2020), Data from: A multilocus analysis of Epicopeiidae (Lepidoptera, Geometroidea) provides new insights into their relationships and the evolutionary history of mimicry, Dryad, Dataset, https://doi.org/10.5061/dryad.98sf7m0dt

Abstract

The family Epicopeiidae is a small group of day-flying moths, known for mimicking many different groups of butterflies and moths. So far, there still lacks a reliable phylogenetic framework of Epicopeiidae that is necessary to our understanding of the evolutionary process of their mimicry. In this study, we sequenced 94 nuclear protein-coding markers for 56 epicopeiid samples and 11 outgroups, covering all ten genera of Epicopeiidae. We used homemade PCR-generated baits to capture target sequences, which allowed us to utilize old and dried specimens that were difficult to handle by conventional PCR + Sanger sequencing. Maximum likelihood and Bayesian analyses of the newly obtained dataset (86,388 bp) at both DNA and protein levels produced identical phylogenies with strong support. The non-mimicry genus Deuveia is the sister group of other epicopeiid genera. Epicopeia and Nossa are not monophyletic, and these two genera nest together to form a clade. We also estimated divergence times of Epicopeiidae and found that their initial diversification happened in Eocene about 41 million years ago. The ancestral state reconstruction of mimicry type for this family suggested that the last common ancestor of epicopeiid moths is non-mimetic, and the Riodinidae-mimicry type evolved first. In summary, our work provides a comprehensive and robust time-calibrated phylogeny of Epicopeiidae that provides a sound framework for revising their classification and interpreting character evolution.

Methods

Sequence capture experiment following the method of Zhang, Y., Deng, S., Liang, D., Zhang, P., 2019. Sequence capture across large phylogenetic scales by using pooled PCR-generated baits: A case study of Lepidoptera. Molecular ecology resources, 00, 1–15. doi: 10.1111/1755-0998.13026

Funding

National Natural Science Foundation of China, Award: 318,722,053,167,226,000,000,000