Genetic Character and Insecticide Susceptibility on a Korean Population of a Subtropical Species, Maruca vitrata

Kim, Yonggyun; Sadekuzzaman, Md.; Kim, Minhyun; Kim, Kyusoon; Park, Youngjin; Jung, Jin Kyo

doi:10.5656/ksae.2016.06.0.024

Cited by 3 publications

(2 citation statements)

References 26 publications

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“…The present finding confirms the findings of Chatterjee et al (2019) and Periasamy et al (2015). Further, Kim et al (2016) reported that their Korean population shares homology with Asia-African cluster and different from the remaining 2 other populations from America and Oceania. Thus, the Indian population is not genetically different in different agroecological regions of pigeonpea crop.…”

Section: Phylogenetic Analysis Of M Vitratasupporting

confidence: 91%

Assessing Pigeonpea Genotypes for Resistance against Maruca vitrata Fabricius and its Sustainable Management through Biorationals

Sujayanand,

Datta,

Chandra

et al. 2023

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Background: The spotted pod borer (SPB), Maruca vitrata Fabricius is a key insect pest of major legume crop i.e. pigeonpea, Cajanus cajan in India and semi-arid tropics. Identifying a SPB resistant genotype will help in sustainable management of SPB and in attaining nutritional security. The SPB has developed insecticide resistance to most of the chemical insecticide like Organophosphorous group of insecticides and also it is expanding its geographic limits. These factors are the driving forces for identifying tolerant genotypes for its sustainable management along with a suitable biorational. Methods: Forty seven pigeonpea genotypes were screened during kharif 2015 to 2017 at ICAR-IIPR, Kanpur based on percent pod damage and Pest Resistance Susceptibility Rating (PRSR) under insecticide free condition. The 4 biorationals were tested against SPB in ICPL 87 along with untreated control in Randomised Block Design. Further the SPB molecular identity was confirmed by phylogenetic analysis of partial Cox 1 gene amplified from M. vitrata adult. Results: Two indeterminate genotypes (Pusa2001 and Pusa33) as SPB resistant based on lowest mean pest resistance susceptibility rating (PRSR 1.7) The next best genotypes were a determinate (AL-15) and indeterminate genotype (LRG-30) with a PRSR of 2.0. The highest PRSR (6.0) was recorded from the ICPL 87, a susceptible check in the present experiment. Spinosad 45SC has recorded significantly lowest mean pod damage (6.67%) and highest mean yield (4.36kg/35m2) compared to 4 other treatments in the field efficacy trial. The phylogenetic analysis of Cox 1 gene from Kanpur population (KY559101) with 19 other M. vitrata populations in India revealed that it is more similar to Raichur population (KT070892) and it confirms M. vitrata has same ancestral homology in India.

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Section: Phylogenetic Analysis Of M Vitratasupporting

confidence: 91%

Assessing Pigeonpea Genotypes for Resistance against Maruca vitrata Fabricius and its Sustainable Management through Biorationals

Sujayanand,

Datta,

Chandra

et al. 2023

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“…This issue has become serious along with widespread use of transgenic Bt crops . A previous study showed that a population of M. vitrata was insensitive to an effective Bt strain. To effectively control the Bt‐resistant population, a bacterial mixture treatment was devised by constructing transformed bacteria expressing dsRNAs specific to IIS components in the present study.…”

Section: Introductionmentioning

confidence: 99%

Alteration of insulin signaling to control insect pest by using transformed bacteria expressing dsRNA

Baki

Jung

Kim

2019

Pest Management Science

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BACKGROUND Insulin/insulin‐like growth factor signaling (IIS) is known to mediate larval growth and adult reproduction in the legume pod borer, Maruca vitrata (Lepidoptera: Crambidae). Four IIS components (InR, FOXO, Akt, and TOR) play crucial roles in the IIS pathway. RESULTS RNA interference (RNAi) against any of these four IIS component genes was effective in suppressing each target mRNA level by either hemocoelic injection or oral administration using gene‐specific double‐stranded RNAs (dsRNAs). These RNAi treatments interfered with larval growth, leading to small pupae or significant larval mortality. For massive production of dsRNA, transformed bacteria expressing dsRNAs of these four IIS components were prepared with L4440 expression vector and HT115 strain of Escherichia coli. The transformed bacteria killed the larvae in a dose‐dependent manner by feeding administration. An ultra‐sonication pretreatment was performed to impair bacterial membrane and increase dsRNA release from the bacteria in insect intestine. This pretreatment increased the insecticidal activity of these recombinant bacteria. To further increase dsRNA toxicity, its mixture with Bacillus thuringiensis (Bt) was prepared and showed significant increase of Bt insecticidal activity in the laboratory. The bacterial mixture also showed a high control efficacy (83.3%) in an adzuki bean (Vigna angularis) field infested by M. vitrata. Furthermore, such a dsRNA effect was specific for M. vitrata, but not for non‐target insects. CONCLUSION The bacteria expressing dsRNA specific to IIS components can be used to develop dsRNA insecticide. © 2019 Society of Chemical Industry

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Cellular Immune Response of the Legume Pod Borer, Maruca vitrata, and its Suppression by BtPlus to Enhance Bacillus thuringiensis Pathogenicity

Kim¹,

Sadekuzzaman²,

Kim³

et al. 2017

KJPS

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Genetic Character and Insecticide Susceptibility on a Korean Population of a Subtropical Species, Maruca vitrata

Cited by 3 publications

References 26 publications

Assessing Pigeonpea Genotypes for Resistance against Maruca vitrata Fabricius and its Sustainable Management through Biorationals

Assessing Pigeonpea Genotypes for Resistance against Maruca vitrata Fabricius and its Sustainable Management through Biorationals

Alteration of insulin signaling to control insect pest by using transformed bacteria expressing dsRNA

Cellular Immune Response of the Legume Pod Borer, Maruca vitrata, and its Suppression by BtPlus to Enhance Bacillus thuringiensis Pathogenicity

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