Eur. J. Entomol. 116: 372-391, 2019 | DOI: 10.14411/eje.2019.039
Identification and expression patterns of chemosensory proteins in the black-back prominent moth, Clostera restitura (Lepidoptera: Notodontidae)Original article
- 1 Co-Innovation Center for the Sustainable Forestry in Southern China, Nanjing Forestry University, Nanjing, 210037 Jiangsu, China; e-mails: 15720616317@163.com, tianzigu@gmail.com, 1134614728@qq.com, 286412533@qq.com, 1017385045@qq.com, djhao @ njfu.edu.cn
- 2 College of Forestry, Nanjing Forestry University, Nanjing, 210037 Jiangsu, China
Insects have evolved highly specific and sensitive olfactory sensory systems to detect plant hosts and mates. Chemosensory proteins (CSPs) play an important role in this process, but in this respect there is limited information on Clostera restitura, one of the most destructive defoliators of poplars in China. In the present study, we first identified seven candidate CSPs in C. restitura. Sequence alignment and phylogenetic analysis showed that these candidate proteins possessed typical characteristics of the insect CSP family and were similar to those of other Lepidoptera. These genes were expressed in different developmental stages and tissues, and the levels of expression differed after mating. Some CresCSPs were more associated with development and others with mating. They may play an important role in host recognition, egg development and mating behaviour. Furthermore, the CSPs were ubiquitously detected in all tissues and most of them were highly expressed in antennae, especially female antennae. We suggest the CresCSPs may contribute to female oviposition site recognition. CresCSPs that are highly transcribed in wings and legs, may function in gustation. This study provides a better understanding of the molecular mechanisms of olfaction in C. restitura and environmentally friendly pest management strategy for controlling C. restitura.
Keywords: Lepidoptera, Notodontidae, Clostera restitura, chemosensory proteins, expression pattern, phylogenetic analysis
Received: March 31, 2019; Revised: September 23, 2019; Accepted: September 23, 2019; Published online: November 6, 2019 Show citation
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