Polyphagous insect sps feeding on cardenolide rich (L.) leaves and detoxification mechanism involving GST.

Heliyon

Centre for Climate Change Studies, International Research Centre, Sathyabama Institute of Science and Technology, Chennai 600119, Tamil Nadu, India.

Published: September 2022

Cardenolides, a group of cardiac glycosides are potent inhibitors of Na/K ATPase pump in mammals, animals including insects. Some insects can circumvent the toxicity of cardenolides by mechanisms like target site resistance and metabolic resistance resulting in enhanced tolerance or adaptation. In this paper, we report an intriguing observation of a polyphagous feeder feeding gregariously on the leaves of (L.) without any apparent adverse effect. No choice feeding assay showed higher larval biomass and reduced number of days to develop on leaves compared to and banana. We found the activity of GST higher in fed larva and HR LC-MS analysis of sps. revealed the presence of glutathione-strophanthidin conjugate in larval body tissue. molecular simulation results confirmed strong interaction between delta variant GST and glutathione-strophanthidin complex. The sequestration site and cost benefit of glutathione-strophanthidin sequestration in body tissues of sps needs further investigation.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9513775PMC
http://dx.doi.org/10.1016/j.heliyon.2022.e10596DOI Listing

Publication Analysis

Top Keywords

polyphagous insect
4
insect sps
4
sps feeding
4
feeding cardenolide
4
cardenolide rich
4
rich leaves
4
leaves detoxification
4
detoxification mechanism
4
mechanism involving
4
involving gst
4

Similar Publications

Proteomic Variation in the Oral Secretion of Spodoptera exigua and Spodoptera littoralis Larvae in Response to Different food Sources.

J Chem Ecol

January 2025

Biotechnological Control of Pests Laboratory, Institute of Biotechnology and Biomedicine (BIOTECMED), Universitat de València, Burjassot, Valencia, 46100, Spain.

The Spodoptera genus is defined as the pest-rich genus because it contains some of the most destructive lepidopteran crop pests, characterized by a wide host range. During feeding, the caterpillars release small amounts of oral secretion (OS) onto the wounded leaves. This secretion contains herbivore-induced molecular patterns (HAMPs) that activate the plant defense response, as well as effectors that may inhibit or diminish the plant's anti-herbivory response.

View Article and Find Full Text PDF

Purpose: The brown marmorated stink bug, Halyomorpha halys (Hemiptera: Pentatomidae), is an invasive and a highly polyphagous species with a strong dispersal capacity. Unfortunately, there is currently no effective control method that can prevent or reduce the economic loss caused by this pest. Among natural enemies, microsporidia cause infections in insects so that they can generally shorten life span, reduce fertility and inhibit growth.

View Article and Find Full Text PDF

The greenhouse whitefly Trialeurodes vaporariorum Westwood is one of the most important economic pests of greenhouse products around the world. The use of pesticides is one of the most common methods to control this pest. The wide distribution of the host, the large number of generations, and the polyphagous nature of T.

View Article and Find Full Text PDF

Characterizing Three Heat Shock Protein 70 Genes of and Their Expression in Response to Temperature and Insecticide Stress.

J Agric Food Chem

January 2025

State Key Laboratory for Biology of Plant Diseases and Insect Pests, Institute of Plant Protection, Chinese Academy of Agricultural Sciences, Beijing 100193, China.

is a highly polyphagous pest that causes substantial agricultural damage. Temperature and insecticides are two major abiotic stresses affecting their population abundance. Heat shock proteins play an essential role in cell protection when insects are exposed to environmental stresses.

View Article and Find Full Text PDF

Background: The cotton jassid, Amrasca biguttula, a dangerous and polyphagous pest, has recently invaded the Middle East, Africa and South America, raising concerns about the future of cotton and other food crops including okra, eggplant and potato. However, its potential distribution remains largely unknown, posing a challenge in developing effective phytosanitary strategies. We used an ensemble model of six machine-learning algorithms including random forest, maxent, support vector machines, classification and regression tree, generalized linear model and boosted regression trees to forecast the potential distribution of A.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!