Inheritance of chlorantraniliprole resistance and fitness costs in a field population of Cnaphalocrocis medinalis (Lepidoptera: Pyralidae) in China
Year: 2024
Type: article
Abstract: BACKGROUND: Cnaphalocrocis medinalis is one of the major rice insect pests in Asia. Chlorantraniliprole is one of the most important insecticides for the control of C. medinalis. In this study, a field-resistant population and a susceptible strain of C. medinalis were used to evaluate the inheritance of chlorantraniliprole resistance and fitness costs in the field. RESULTS: The field-resistant population (Cm-RR) showed 128.4-fold resistance to chlorantraniliprole compared with the susceptible strain (Cm-SS). The dose-response of reciprocal cross progeny (F1 and F1') showed no significant difference, which indicated the inheritance of resistance to chlorantraniliprole in C. medinalis was autosomal. The degrees of dominance (D) of resistance for F1 and F1' were -0.19 and -0.05, respectively, indicating that the chlorantraniliprole resistance of C. medinalis was incompletely recessive inheritance. At the same time, significant differences between observed and expected mortalities of self-cross (F2 and F2') and backcross (BC and BC') progenies suggested chlorantraniliprole resistance is controlled by multiple genes. Furthermore, the Cm-RR population had a relative fitness of 0.32 with a substantially decreased pupation rate, emergence rate, fecundity, and substantially increased developmental time of larval and pupa stages. CONCLUSION: Current research showed that the inheritance of chlorantraniliprole resistance to C. medinalis was autosomal, incompletely recessive and multigene. The field-resistant population had a relative fitness of 0.32 when compared with the susceptible strain. This study provided valuable information for facilitating the development of chlorantraniliprole resistance management strategies. © 2024 Society of Chemical Industry.
Source: Pest Management Science
DOI: 10.1002/ps.8426
Authors: Yan‐Chao Zhang, Yan Ling, Bei‐Bei Dong, Hong‐Shuang Li, Yu‐Kun He, Qian Huang, Li‐Ping Long, Shun‐Fan Wu, Cong‐Fen Gao
Language: English
Subfield: Molecular Biology
Domain: Life Sciences
Open Access status: bronze
Award: G4664714046
OpenAlex ID: W4402729570
