Tetraniliprole resistance in field-collected populations of Tuta absoluta (Lepidoptera: Gelechiidae) from China: Baseline susceptibility, cross-resistance, inheritance, and biochemical mechanism

文献类型： 外文期刊

第一作者： Qu, Cheng

作者： Qu, Cheng;Yao, Jiaqi;Luo, Chen;Wang, Ran;Yao, Jiaqi;Huang, Jianlei;Che, Wunan;Fang, Yong;Fang, Yong

作者机构：

关键词： Tuta absoluta; Tetraniliprole; Cross -resistance; Synergism; Metabolic enzyme; Mode of inheritance

期刊名称：PESTICIDE BIOCHEMISTRY AND PHYSIOLOGY （ 影响因子：4.2； 五年影响因子：4.6 ）

ISSN： 0048-3575

年卷期： 2024 年 203 卷

页码：

收录情况： SCI

摘要： Tuta absoluta is one of the most destructive and invasive insect pests throughout the world. It feeds on numerous solanaceous plant species and has developed resistance to most types of popular insecticides. Tetraniliprole is a novel diamide chemical agent that acts as a modulator of the ryanodine receptor. To establish T. absoluta susceptibility to tetraniliprole and to understand potential mechanisms of resistance, we monitored 18 field populations of T. absoluta collected from northern China. One field-evolved resistant population, Huailai (HL), showed moderate resistance to tetraniliprole (36.2-fold) in comparison with susceptible strain YN-S. Assays of cross-resistance, synergism, metabolic enzyme activity, and inheritance of resistance were performed with YN-S strain and HL population. The latter displayed 12.2- and 6.7-fold cross-resistance to chlorantraniliprole and flubendiamide, respectively, but little cross-resistance to broflanilide (1.6-fold), spinosad (2.1-fold), metaflumizone (1.5-fold), or indoxacarb (2.8-fold). Genetic analyses revealed that tetraniliprole resistance in HL population was autosomal, incompletely dominant, and polygenic. Piperonyl butoxide was found to significantly increase tetraniliprole toxicity, and enzymatic activities of P450 monooxygenase and glutathione S-transferase were significantly higher in HL than YN-S population. These results enhance our knowledge of the inheritance and mechanism of tetraniliprole resistance, enabling future optimization of resistance management strategies.

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