BACKGROUND: Understanding the genetic basis of insect resistance to insecticides can help to implement insecticide resistance management (IRM) strategies. In this study, we selected a strain of Spodoptera frugiperda (J. E. Smith) (Lepidoptera: Noctuidae) resistant to chlorantraniliprole using the F2 screen method, characterized the inheritance of resistance and evaluated patterns of cross-resistance to other diamide insecticides. RESULTS: The chlorantraniliprole-resistant strain (Chlorant-R) was selected from a field-collected population with an estimated allele frequency of 0.1316. The estimated median lethal concentration (LC50 ) values were 0.011 and 2.610 µg a.i. cm-2 for the susceptible (Sus) and Chlorant-R strains, respectively, resulting in a resistance ratio (RR) of 237-fold. The LC50 values of the reciprocal crosses were 0.155 and 0.164 µg a.i. cm-2 , indicating that resistance is autosomally inherited. Resistance was characterized as incompletely recessive and monogenic at concentrations close to the recommended field rates of chlorantraniliprole. Survival of the resistant strain and heterozygous larvae in maize plants treated at the field rate was ∼ 60 (similar to the susceptible strain on untreated maize) and 15%, respectively. The Chlorant-R strain showed low cross-resistance to cyantraniliprole (RR ∼ 27-fold) and very high cross-resistance to flubendiamide (RR > 42 000-fold). CONCLUSIONS: The frequency of chlorantraniliprole resistance allele was moderately high in a field-collected population of S. frugiperda. The inheritance of chlorantraniliprole resistance was characterized as autosomal, incompletely recessive and monogenic. S. frugiperda showed cross-resistance to other diamide insecticides. These results provide essential information for the implementation of IRM programs to preserve the useful life of diamide insecticides for controlling S. frugiperda in Brazil.
BACKGROUND: Understanding the genetic basis of insect resistance to insecticides can help to implement insecticide resistance management (IRM) strategies. In this study, we selected a strain of Spodoptera frugiperda (J. E. Smith) (Lepidoptera: Noctuidae) resistant to chlorantraniliprole using the F2 screen method, characterized the inheritance of resistance and evaluated patterns of cross-resistance to other diamide insecticides. RESULTS: The chlorantraniliprole-resistant strain (Chlorant-R) was selected from a field-collected population with an estimated allele frequency of 0.1316. The estimated median lethal concentration (LC50 ) values were 0.011 and 2.610 µg a.i. cm-2 for the susceptible (Sus) and Chlorant-R strains, respectively, resulting in a resistance ratio (RR) of 237-fold. The LC50 values of the reciprocal crosses were 0.155 and 0.164 µg a.i. cm-2 , indicating that resistance is autosomally inherited. Resistance was characterized as incompletely recessive and monogenic at concentrations close to the recommended field rates of chlorantraniliprole. Survival of the resistant strain and heterozygous larvae in maize plants treated at the field rate was ∼ 60 (similar to the susceptible strain on untreated maize) and 15%, respectively. The Chlorant-R strain showed low cross-resistance to cyantraniliprole (RR ∼ 27-fold) and very high cross-resistance to flubendiamide (RR > 42 000-fold). CONCLUSIONS: The frequency of chlorantraniliprole resistance allele was moderately high in a field-collected population of S. frugiperda. The inheritance of chlorantraniliprole resistance was characterized as autosomal, incompletely recessive and monogenic. S. frugiperda showed cross-resistance to other diamide insecticides. These results provide essential information for the implementation of IRM programs to preserve the useful life of diamide insecticides for controlling S. frugiperda in Brazil.
Authors: Boddupalli M Prasanna; Anani Bruce; Yoseph Beyene; Dan Makumbi; Manje Gowda; Muhammad Asim; Samuel Martinelli; Graham P Head; Srinivas Parimi Journal: Theor Appl Genet Date: 2022-03-23 Impact factor: 5.699
Authors: Muhammad Hafeez; Xiaowei Li; Zhijun Zhang; Jun Huang; Likun Wang; Jinming Zhang; Sakhawat Shah; Muhammad Musa Khan; Fei Xu; G Mandela Fernández-Grandon; Myron P Zalucki; Yaobin Lu Journal: Insects Date: 2021-02-03 Impact factor: 2.769
Authors: Renato J Horikoshi; Patrick M Dourado; Geraldo U Berger; Davi de S Fernandes; Celso Omoto; Alan Willse; Samuel Martinelli; Graham P Head; Alberto S Corrêa Journal: Sci Rep Date: 2021-08-05 Impact factor: 4.379
Authors: Juliana Dantas; Isabela O Motta; Leonardo A Vidal; Eliza F M B Nascimento; João Bilio; Júlia M Pupe; Adriano Veiga; Carlos Carvalho; Rogerio B Lopes; Thales L Rocha; Luciano P Silva; José R Pujol-Luz; Érika V S Albuquerque Journal: Insects Date: 2021-12-17 Impact factor: 2.769