Phylogeny of the Chinese Subgenera of the Genus Homoneura (Diptera, Lauxaniidae, Homoneurinae) Based on Morphological Characters

Chaoyang Kong; Keli Feng; Shengjuan Zhao; Wenliang Li; Xuankun Li

doi:10.3390/insects13080665

Phylogeny of the Chinese Subgenera of the Genus Homoneura (Diptera, Lauxaniidae, Homoneurinae) Based on Morphological Characters

Insects. 2022 Jul 22;13(8):665. doi: 10.3390/insects13080665.

Authors

Chaoyang Kong¹, Keli Feng¹, Shengjuan Zhao², Wenliang Li¹, Xuankun Li^{3

4

5}

Affiliations

¹ College of Horticulture and Plant Protection, Henan University of Science and Technology, Luoyang 471023, China.
² College of Food & Bioengineering, Henan University of Science and Technology, Luoyang 471023, China.
³ Department of Entomology, College of Plant Protection, China Agricultural University, Beijing 100193, China.
⁴ Department of Biological Sciences, University of Memphis, Memphis, TN 38152, USA.
⁵ Center for Biodiversity Research, University of Memphis, Memphis, TN 38152, USA.

Abstract

The genus Homoneura comprises over 700 described species in eight known subgenera distributed worldwide and has the highest species richness of Lauxaniidae. Five subgenera and more than 200 species have currently been recorded from China. Despite its high diversity, the monophyly of Homoneura and its subgenera, and the phylogenetic relationships among its subgenera remain to be investigated. One maximum-parsimony tree was generated based on 105 morphological characters scored from 24 species, representing all five subgenera of Homoneura recorded from China. The results did not support the monophyly of the genus Homoneura and subgenus Homoneura. The subgenus Chaetohomoneura is a sister to subgenus Neohomoneura. The monophyly of the subgenera Euhomoneura and Neohomoneura is supported. Much of the current classification of the genus Homoneura needs a revision before taxonomy can reflect natural groupings.

Keywords: China; Homoneura; morphological characters; phylogeny; subgenus.

Grants and funding

The research was funded by the National Natural Science Foundation of China (32070477), and the National Science & Technology Fundamental Resources Investigation Program of China (2018FY100400, 2019FY100400).