Literature DB >> 36032511

Insecticide susceptibility vis-à-vis molecular variations in geographical populations of fall armyworm, Spodoptera frugiperda (J.E. smith) in India.

Sandeep Kumar1, S B Suby2, G K Mahapatro1, Naveen Kumar2, J C Sekhar2, Suresh Nebapure1.   

Abstract

In an emergency response to the introduction, subsequent detection and rapid spread of the invasive insect pest fall armyworm (FAW), Spodoptera frugiperda (J.E. Smith) in the country, Government of India offered ad-hoc approval for few pesticide molecules namely, emamectin benzoate, spinetoram, chlorantraniliprole, novaluron, thiodicarb, and λ-cyhalothrin for FAW management in corn crop across the country. Five major maize (corn) growing geographical areas (i.e., Bihar, Delhi, Karnataka, Punjab and Tamil Nadu) were selected during the main crop season of 2020 (Oct-Nov), and sampled for the target-insect populations. The insect populations were lab-reared on maize leaves (15-20 days old); the F1 generation insects (third instar, 25-30 mg/larva) were subjected to bioassay to determine susceptibility levels of FAW against ad-hoc recommended insecticides. The previously reported target-site molecular variations in the genes ace, encoding acetylcholinesterase (AChE), and vgsc, encoding voltage-gated sodium channel were analyzed. Among the five test-populations, Bihar test-population recorded least susceptibility to all the test-pesticides, whereas the South Indian populations (Karnataka, Tamil Nadu) were found most susceptible. North Indian and South Indian test-insect populations formed two distinct groups in terms of susceptibility levels, speculatively on account of prevailing climatic factors. Being the population with least ace mutation frequency, but with the higher resistance ratio for all the test-pesticides, Bihar insect population implies a bigger role of broad range detoxification machinery than the narrow scope of target site insensitivity. Though, resistance has not developed to the recommended insecticides by FAW, except the case of low-medium resistance development; which is better explained due to behavioural avoidance of synthetic pyrethroid (λ-cyhalothrin). However, there is no room for complacency. Resistance-monitoring tools such as location/region-specific determination of discriminating diagnostic concentrations/doses for FAW in recommended insecticides are to be devised at the earliest. Supplementary Information: The online version contains supplementary material available at 10.1007/s13205-022-03303-2. © King Abdulaziz City for Science and Technology 2022, Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Entities:  

Keywords:  Acetyl cholinesterase; Discriminating diagnostic concentration/doses; Maize; Mutation; Resistance; Voltage-gated sodium channel

Year:  2022        PMID: 36032511      PMCID: PMC9399317          DOI: 10.1007/s13205-022-03303-2

Source DB:  PubMed          Journal:  3 Biotech        ISSN: 2190-5738            Impact factor:   2.893


  17 in total

1.  Selection and characterization of the inheritance of resistance of Spodoptera frugiperda (Lepidoptera: Noctuidae) to chlorantraniliprole and cross-resistance to other diamide insecticides.

Authors:  Anderson Bolzan; Fernando Eo Padovez; Antonio Rb Nascimento; Ingrid S Kaiser; Ewerton C Lira; Fernando Sa Amaral; Rubens H Kanno; José B Malaquias; Celso Omoto
Journal:  Pest Manag Sci       Date:  2019-03-25       Impact factor: 4.845

2.  Detection of a ryanodine receptor target-site mutation in diamide insecticide resistant fall armyworm, Spodoptera frugiperda.

Authors:  Debora Boaventura; Anderson Bolzan; Fernando Eo Padovez; Daniela M Okuma; Celso Omoto; Ralf Nauen
Journal:  Pest Manag Sci       Date:  2019-07-08       Impact factor: 4.845

3.  Inheritance and fitness costs of Spodoptera frugiperda (Lepidoptera: Noctuidae) resistance to spinosad in Brazil.

Authors:  Daniela M Okuma; Daniel Bernardi; Renato J Horikoshi; Oderlei Bernardi; Aline P Silva; Celso Omoto
Journal:  Pest Manag Sci       Date:  2018-03-02       Impact factor: 4.845

4.  Genetic basis of Spodoptera frugiperda (Lepidoptera: Noctuidae) resistance to the chitin synthesis inhibitor lufenuron.

Authors:  Antonio Rogério Bezerra do Nascimento; Juliano Ricardo Farias; Daniel Bernardi; Renato Jun Horikoshi; Celso Omoto
Journal:  Pest Manag Sci       Date:  2015-07-14       Impact factor: 4.845

5.  DNA sequencing with chain-terminating inhibitors.

Authors:  F Sanger; S Nicklen; A R Coulson
Journal:  Proc Natl Acad Sci U S A       Date:  1977-12       Impact factor: 11.205

6.  Geneious Basic: an integrated and extendable desktop software platform for the organization and analysis of sequence data.

Authors:  Matthew Kearse; Richard Moir; Amy Wilson; Steven Stones-Havas; Matthew Cheung; Shane Sturrock; Simon Buxton; Alex Cooper; Sidney Markowitz; Chris Duran; Tobias Thierer; Bruce Ashton; Peter Meintjes; Alexei Drummond
Journal:  Bioinformatics       Date:  2012-04-27       Impact factor: 6.937

7.  The fall armyworm strain associated with most rice, millet, and pasture infestations in the Western Hemisphere is rare or absent in Ghana and Togo.

Authors:  Rodney N Nagoshi; Djima Koffi; Komi Agboka; Anani Kossi Mawuko Adjevi; Robert L Meagher; Georg Goergen
Journal:  PLoS One       Date:  2021-06-21       Impact factor: 3.240

8.  Investigating the molecular mechanisms of organophosphate and pyrethroid resistance in the fall armyworm Spodoptera frugiperda.

Authors:  Renato A Carvalho; Celso Omoto; Linda M Field; Martin S Williamson; Chris Bass
Journal:  PLoS One       Date:  2013-04-17       Impact factor: 3.240

9.  Genomic and transcriptomic analysis unveils population evolution and development of pesticide resistance in fall armyworm Spodoptera frugiperda.

Authors:  Furong Gui; Tianming Lan; Yue Zhao; Wei Guo; Yang Dong; Dongming Fang; Huan Liu; Haimeng Li; Hongli Wang; Ruoshi Hao; Xiaofang Cheng; Yahong Li; Pengcheng Yang; Sunil Kumar Sahu; Yaping Chen; Le Cheng; Shuqi He; Ping Liu; Guangyi Fan; Haorong Lu; Guohai Hu; Wei Dong; Bin Chen; Yuan Jiang; Yongwei Zhang; Hanhong Xu; Fei Lin; Bernard Slippers; Alisa Postma; Matthew Jackson; Birhan Addisie Abate; Kassahun Tesfaye; Aschalew Lemma Demie; Meseret Destaw Bayeleygne; Dawit Tesfaye Degefu; Feng Chen; Paul K Kuria; Zachary M Kinyua; Tong-Xian Liu; Huanming Yang; Fangneng Huang; Xin Liu; Jun Sheng; Le Kang
Journal:  Protein Cell       Date:  2020-10-27       Impact factor: 15.328

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