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组学方法在理解蚊媒抗药性中的应用

Omics Approaches in Understanding Insecticide Resistance in Mosquito Vectors.

作者信息

Bharadwaj Nikhil, Sharma Rohit, Subramanian Muthukumaravel, Ragini Gnanasekar, Nagarajan Shriram Ananganallur, Rahi Manju

机构信息

Division of Vector Biology and Control, ICMR-Vector Control Research Centre, Medical Complex, Indira Nagar, Puducherry 605006, India.

出版信息

Int J Mol Sci. 2025 Feb 21;26(5):1854. doi: 10.3390/ijms26051854.

Abstract

In recent years, the emergence of insecticide resistance has been a major challenge to global public health. Understanding the molecular mechanisms of this phenomenon in mosquito vectors is paramount for the formulation of effective vector control strategies. This review explores the current knowledge of insecticide resistance mechanisms through omics approaches. Genomic, transcriptomic, proteomic, and metabolomics approaches have proven crucial to understand these resilient vectors. Genomic studies have identified multiple genes associated with insecticide resistance, while transcriptomics has revealed dynamic gene expression patterns in response to insecticide exposure and other environmental stimuli. Proteomics and metabolomics offer insights into protein expression and metabolic pathways involved in detoxification and resistance. Integrating omics data holds immense potential to expand our knowledge on the molecular basis of insecticide resistance in mosquitoes via information obtained from different omics platforms to understand regulatory mechanisms and differential expression of genes and protein, and to identify the transcription factors and novel molecules involved in the detoxification of insecticides. Eventually, these data will help construct predictive models, identify novel strategies, and develop targeted interventions to control vector-borne diseases.

摘要

近年来,杀虫剂抗性的出现已成为全球公共卫生面临的一项重大挑战。了解蚊媒中这一现象的分子机制对于制定有效的病媒控制策略至关重要。本综述通过组学方法探讨了目前关于杀虫剂抗性机制的知识。基因组学、转录组学、蛋白质组学和代谢组学方法已被证明对于理解这些具有抗性的病媒至关重要。基因组研究已鉴定出多个与杀虫剂抗性相关的基因,而转录组学则揭示了蚊虫在接触杀虫剂和其他环境刺激时动态的基因表达模式。蛋白质组学和代谢组学为参与解毒和抗性的蛋白质表达及代谢途径提供了见解。整合组学数据具有巨大潜力,可通过从不同组学平台获得的信息,扩展我们对蚊虫杀虫剂抗性分子基础的认识,以了解基因和蛋白质的调控机制及差异表达,并识别参与杀虫剂解毒的转录因子和新分子。最终,这些数据将有助于构建预测模型、确定新策略并开发针对性干预措施以控制病媒传播疾病。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/10a8/11899280/84caa70eeb8f/ijms-26-01854-g001.jpg

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