Inheritance and fitness cost of buprofezin resistance in a near‐isogenic, field‐derived strain and insecticide resistance monitoring of Laodelphax striatellus in China

Autor: Bin Zeng, Ya‐Ting Liu, Wen‐Jing Zhang, Ze‐Rui Feng, Shun‐Fan Wu, Cong‐Fen Gao
Rok vydání: 2022
Předmět:
Zdroj: Pest Management Science. 78:1833-1841
ISSN: 1526-4998
1526-498X
DOI: 10.1002/ps.6801
Popis: Laodelphax striatellus is one of the most destructive pests of rice and other cereal crops. Chemical control is still the most efficient way to control this pest, but insecticide resistance always threatens this approach.Monitoring data (2003-2020) showed that Chinese field populations of L. striatellus developed high-level buprofezin resistance within the first four years. This high-level resistance to buprofezin was stable for about ten years and persisted even when buprofezin selection pressure was absent. An established near-isogenic strain (YN-NIS) with 90.8-fold resistance to buprofezin had resistance inheritance of autosomal and incomplete dominance, and the resistance was controlled by multiple genes with no obvious fitness costs (relative fitness of 0.8707). Furthermore, the susceptibility of 29 field populations to another seven insecticides (2014-2020) showed that: (i) low-level resistance to pymetrozine, dinotefuran, sulfoxaflor and thiamethoxam was first detected in 2014 (eight years after introduction), 2016 (three years after), 2017 (four years after) and 2019 (19 years after), respectively, (ii) moderate resistance levels to chlorpyrifos were found for all populations across multiple years, and (iii) no resistance was detected for nitenpyram and triflumezopyrim.The fast buprofezin resistance development in L. striatellus would be caused by incomplete dominant resistance with almost no fitness cost in the resistant strain. Nitenpyram and triflumezopyrim showed no resistance and can be used as the main insecticide for the control of L. striatellus. These findings provide key fundamental information for controlling L. striatellus.
Databáze: OpenAIRE
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