A Novel GSTe2 Involved in Metamorphosis by Regulating 20E Signal Pathway in Tribolium Castaneum.
Archives Of Insect Biochemistry And Physiology(2023)SCI 4区
Department of Life-Science | Jiangsu Key Laboratory for Biodiversity and Biotechnology
Abstract
Insect-specific epsilon glutathion S-transferases (GSTs) are a class of multifunctional GST superfamily, which play important roles in detoxification of xenobiotic substances. Most research on GSTs has focused on insecticide detoxification and resistance, with little research on other physiological functions. Here, we identified and cloned the novel GSTe2 from Tribolium castaneum (TcGSTe2). Recombinant TcGSTe2 protein was successfully overexpressed in Escherichia coli and purified with affinity purification, which had high ability to catalyze the conjugation of reduced glutathione with 1-chloro-2,4-dinitrobenzene (CDNB). The expression level of TcGSTe2 was significantly decreased after exposure with four insecticides, phoxim, λ-cyhalothrin, dichlorvos, and carbofuran, in larval stage. Interestingly, RNA interference knockdown of TcGSTe2 caused metamorphosis deficiency in larval and pupal stages by inhibiting the 20E signal pathway. Furthermore, exogenous 20E injection partially rescued this metamorphosis deficiency and also increased the expression levels of 20E downstream response genes. This study illustrated TcGSTe2 plays an important role at metamorphosis beside the insecticide detoxification and resistance in T. castaneum.
MoreTranslated text
Key words
20E pathway,ecdysteroid,glutathione S-transferase,metamorphosis,recombinant protein,Tribolium castaneum
求助PDF
上传PDF
View via Publisher
AI Read Science
AI Summary
AI Summary is the key point extracted automatically understanding the full text of the paper, including the background, methods, results, conclusions, icons and other key content, so that you can get the outline of the paper at a glance.
Example
Background
Key content
Introduction
Methods
Results
Related work
Fund
Key content
- Pretraining has recently greatly promoted the development of natural language processing (NLP)
- We show that M6 outperforms the baselines in multimodal downstream tasks, and the large M6 with 10 parameters can reach a better performance
- We propose a method called M6 that is able to process information of multiple modalities and perform both single-modal and cross-modal understanding and generation
- The model is scaled to large model with 10 billion parameters with sophisticated deployment, and the 10 -parameter M6-large is the largest pretrained model in Chinese
- Experimental results show that our proposed M6 outperforms the baseline in a number of downstream tasks concerning both single modality and multiple modalities We will continue the pretraining of extremely large models by increasing data to explore the limit of its performance
Upload PDF to Generate Summary
Must-Reading Tree
Example

Generate MRT to find the research sequence of this paper
Related Papers
ANIMAL PRODUCTION SCIENCE 2023
被引用0
Journal of Biomolecular Structure and Dynamics 2024
被引用1
Pest Management Science 2024
被引用1
Journal of Agricultural and Food Chemistry 2024
被引用0
Data Disclaimer
The page data are from open Internet sources, cooperative publishers and automatic analysis results through AI technology. We do not make any commitments and guarantees for the validity, accuracy, correctness, reliability, completeness and timeliness of the page data. If you have any questions, please contact us by email: report@aminer.cn
Chat Paper