Skip to content
#protein folding Open access

NADPH-cytochrome P450 reductase involved in the multi-resistance of Aphis spiraecola to imidacloprid and lambda-cyhalothrin

Sep 2026 · Frontiers in Physiology · Vol 17 · 0 citations · 45 references
Medicine

Abstract

NADPH-cytochrome P450 reductase (CPR) serves as the obligate electron donor for cytochrome P450 enzymes and is essential for xenobiotic metabolism and detoxification. However, its involvement in insecticide resistance of Aphis spiraecola remains unclear. In this study, the open reading frame (ORF) of the A. spiraecola CPR gene was cloned and characterized. qRT-PCR analysis revealed that AsCPR was most abundantly expressed in apterous adults of the susceptible (SS), imidacloprid-resistant (IM-R) and lambda-cyhalothrin-resistant (LC-R) strains, with higher transcript levels in the hemolymph and midgut. In different strains, AsCPR expression was stably induced by both imidacloprid and lambda-cyhalothrin, with induction levels ranging from 1.21 to 4.9-fold. Furthermore, SPc-mediated RNAi of AsCPR achieved silencing efficiencies exceeding 40% at 12 h post-injection in both resistant strains. This knockdown significantly reduced P450 enzyme activity by 18.4% in the IM-R strain and 16.6% in the LC-R strain. Accordingly, the sensitivities of the IM-R strain to imidacloprid and the LC-R strain to lambda-cyhalothrin were significantly increased, with LC50 values decreasing by 57.6% and 49.8%, respectively, compared with the dsGFP control group. Finally, the recombinant AsCPR protein was expressed in vitro, and its activity was assessed. The results indicate that AsCPR plays a key role in the development of multi-resistance of A. spiraecola to pyrethroid and neonicotinoid insecticides.

Read PDF

Similar papers

#computer vision Review Open access May 2015

A survey study on major technical barriers affecting the decision to adopt cloud services

The comparison of adopter and non-adopter sample reveals three potential adoption inhibitor, security, data privacy, and portability, which underlines the importance of the technical and security perspectives for research investigating the adoption of technology.

Nattakarn Phaphoom, Xiaofeng Wang, S. Samuel et al. · 111 citations · ⚡8
#computer vision Open access Feb 2018

Lean Internal Startups for Software Product Innovation in Large Companies: Enablers and Inhibitors

This study investigates how Lean internal startup facilitates software product innovation in large companies and identifies its enablers and inhibitors, and shows the potential of the method-in-action framework to investigate the Lean startup approach in non-startup context.

Henry Edison, Nina M. Smørsgård, Xiaofeng Wang et al. · 78 citations · ⚡6
#computer vision Book Open access Jul 2015

Understanding the affect of developers: theoretical background and guidelines for psychoempirical software engineering

This paper highlights the challenges to conduct proper affect-related studies with psychology, provides a comprehensive literature review in affect theory, and proposes guidelines for conducting psychoempirical software engineering.

D. Graziotin, Xiaofeng Wang, P. Abrahamsson · 56 citations · ⚡4
#machine learning Open access May 2017

What Influences the Speed of Prototyping? An Empirical Investigation of Twenty Software Startups

This study conducts a multiple case study on twenty European software startups and proposes a prototype-centric learning model in early stage software startups, and identifies factors that occur as barriers but also facilitators for prototyping in earlystage software startups.

Anh Nguyen-Duc, Xiaofeng Wang, P. Abrahamsson · 44 citations · ⚡5
#protein folding Open access Sep 2026

Programmable design of functional proteins from natural language

Pinal, a 16-billion-parameter foundation model that produces protein candidates from natural-language functional descriptions, supports natural language as a high-level interface for candidate generation in protein design, enabling programmable exploration with reduced reliance on manually specified structural or seque...

Fengyuan Dai, Shiyang You, Yudian Zhu et al. · 31 citations · ⚡3

Related blog posts

Google DeepMind Blog Sep 30, 2026

Introducing SynthID Bio

Proof of concept for watermarking AI-generated proteins while preserving biological function.

MIT News · Artificial Intelligence Aug 27, 2026

Looking beyond natural sequences

A new machine-learning framework aims to improve the success rate of computational protein design while moving away from results that reproduce sequences found in nature.

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.