Evolution of green lacewings (Neuroptera: Chrysopidae): an anchored phylogenomics approach Shaun L. Winterton1*, Jessica P. Gillung2, Ivonne J. Garzón-Orduña 3, Davide Badano4, Laura C.V. Breitkreuz5, Peter Duelli6, Michael S. Engel5, Xingyue Liu7, Renato J.P. Machado8, Mervyn Mansell9, † † Atsushi Mochizuki10 , Norman D. Penny11 , Catherine A. Tauber2,12 & John D. Oswald13 1. California State Collection of Arthropods, Sacramento, USA. 2. Department of Entomology and Nematology, University of California, Davis, USA. 3. Colección Nacional de Insectos (CNIN), Instituto de Biología, Universidad Nacional Autónoma de México (UNAM), México City, México. 4. Università degli Studi di Genova, Dipartimento di Scienze della Terra, dell'Ambiente e della Vita, Genova, Italia. 5. Department of Ecology & Evolutionary Biology, University of Kansas, Lawrence, USA. 6. Swiss Federal Research Institute WSL, Birmensdorf, Switzerland. 7. Department of Entomology, China Agricultural University, Beijing, China. 8. Instituo de Biociências, Universidade Federal de Mato Grosso, Cuiabá, Brazil. 9. Department of Zoology & Entomology, University of Pretoria, Hatfield, South Africa. 10. National Institute for Agro-Environmental Sciences, Tsukuba City, Japan. 11. California Academy of Science, San Francisco, USA. 12. Department of Entomology, Cornell University, Ithaca, NY, USA. 13. Department of Entomology, Texas A&M University, College Station, USA *Corresponding author: California State Collection of Arthropods, 3294 Meadowview Road, Sacramento, CA 95832, USA. E-mail address:
[email protected] (S.L. Winterton). † Deceased. Abstract. A phylogeny of green lacewings (Neuroptera: Chrysopidae) using anchored hybrid enrichment data is presented. Using this phylogenomic approach we analysed 137 KB of sequence data (with <10% missing) for 82 species in 50 genera of Chrysopidae under Bayesian and Maximum Likelihood criteria.