昆虫学报 ›› 2025, Vol. 68 ›› Issue (6): 697-708.doi: 10.16380/j.kcxb.2025.06.001

• 导言 •    下一篇

新方法和新技术在昆虫学研究领域的应用与展望

乔恒, 沈杰*, 闫硕*   

  1. (中国农业大学植物保护学院, 农林生物安全全国重点实验室,农业农村部植物检疫性有害生物监测防控重点实验室, 北京 100193)
  • 出版日期:2025-06-20 发布日期:2025-07-31

Application and prospects of new methods and technologies in entomological research

QIAO Heng, SHEN Jie*, YAN Shuo*    

  1. (State Key Laboratory of Agricultural and Forestry Biosecurity, MARA Key Lab of Surveillance and Management for Plant Quarantine Pests, College of Plant Protection, China Agricultural University, Beijing 100193, China)
  • Online:2025-06-20 Published:2025-07-31

摘要: 昆虫作为地球上多样性最为丰富的动物类群,与人类生产、生活活动密切相关,昆虫学研究具有重要的理论意义和实践价值。近十年来,新方法和新技术的快速发展极大地推动了昆虫学研究。本文全面概述了国内外新方法和新技术在昆虫学形态鉴定、分子机制及害虫防治等领域的应用;从显微计算机断层扫描技术、RNA干扰、基因编辑、人工智能驱动的智能识别、纳米技术、昆虫微生物共生调控及嗅觉行为调控7个方面归纳介绍了本专辑论文的主要内容;最后,提出了这些技术大规模应用与可持续发展所面临的诸多挑战,展望了其未来发展趋势。

关键词: 昆虫学, 显微计算机断层扫描技术, RNA干扰, 基因编辑, 智能识别, 纳米技术, 昆虫微生物共生调控, 嗅觉行为调控技术

Abstract: As the most diverse group of animals on earth, insects are closely related to human production and activities, making entomological research both theoretically significant and practically valuable. In the past decade, the rapid development of novel methods and technologies has greatly promoted the research progress of entomological research. In this article, we provided a comprehensive overview of the applications of emerging methods and technologies in such fields as entomological morphological identification, molecular mechanism and pest management, focusing on the main contents of this special issue from seven aspects: Micro-computed tomography, RNA interference, gene editing, artificial intelligence-driven intelligent recognition, nanotechnology, regulation of insect-microorganism symbiotes, and olfactory behavior regulation. We also proposed the challenges faced by the large-scale application and sustainable development of these technologies, and prospected the future development trend.

Key words: Entomology, micro-computed tomography, RNA interference, gene editing, intelligent recognition, nanotechnology, regulation of insect-microorganism symbiotes, olfaction-based behaviorally manipulated technology