Trends and emerging hotspots in RNAi-based arthropod pest control: A comprehensive bibliometric analysis

RNA interference (RNAi)-based pest control has emerged as a cutting-edge and highly promising approach in pest control, especially for insect pests, due to its advantages of reduced environmental risk, degradability, and good selectivity. This study provides a bibliometric analysis of RNAi-based pest control, evaluating the global scientific output in this field from the Web of Science Core Collection (WoSCC) and PubMed. From 2007, when the first RNAi-based Arthropod pest control strategy suited for field application was published, to August 2024, 722 English research articles were identified, focusing only on dsRNA delivery modes including feeding, soaking, and spraying, which hold high potential for field application. Articles examining gene function and potential targets by dsRNA injection were excluded. The 722 eligible articles were published in 132 journals by 3112 authors from 563 institutions in fifty countries. Over these 17 years, the number of publications on RNAi-based pest control has shown a trend of accelerating growth. PEST MANAGEMENT SCIENCE published the most articles, followed by PESTICIDE BIOCHEMISTRY AND PHYSIOLOGY, SCIENTIFIC REPORTS. China produced most articles, followed by the United States. However, China is significantly behind the United States in developing commercial products in this field. Hot target insects in RNAi-based pest control research included Bemisia tabaci, Helicoverpa armigera, Aphis gossypii Glover, Leptinotarsa decemlineata, and Diabrotica virgifera virgifera. Frequently studied target genes included vATPaseA, CHS1, SNF7, EcR and β-actin, ect. In recent years, various advanced technologies for dsRNA delivery have been developed and utilized in RNAi-based pest control system, including nanoparticle-enabled, symbiont-mediated, and plant-mediated deliveries. This study represents the first comprehensive analysis based on bibliometric methods, aiming to investigate the forefront hotspots and research trends of RNAi-based pest control, providing valuable references for researchers and developers in this field.