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Related Experiment Video

Updated: Jan 9, 2026

Automating Citrus Budwood Processing for Downstream Pathogen Detection Through Instrument Engineering
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Fighting citrus Huanglongbing with evolutionary principles.

Qiong Li1, Huan Yang2, Pingzhi Zhao2

  • 1Department of Agri-microbiomics and Biotecnology, State Key Laboratory of Microbial Diversity and Innovative Utilization, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China; Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei 230000, China.

Trends in Plant Science
|December 2, 2025
PubMed
Summary
This summary is machine-generated.

Evolution-informed pest management (EIPM) uses evolutionary principles to create durable pest defenses. This approach, enhanced by AI and synthetic biology, offers sustainable solutions like novel biocontrol agents against citrus Huanglongbing.

Keywords:
Huanglongbingartificial intelligence (AI)biopesticidesevolution-informed pest management (EIPM)host–pathogen interaction

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Area of Science:

  • Agricultural Science
  • Evolutionary Biology
  • Biotechnology

Background:

  • Conventional pest control accelerates pest resistance, creating unsustainable cycles.
  • Classical biocontrol methods lack stability, efficiency, and adaptability.
  • Evolution-informed pest management (EIPM) offers a proactive strategy by leveraging pest adaptive constraints.

Purpose of the Study:

  • To synthesize evolutionary principles from plant science for durable pest defense strategies.
  • To highlight the potential of EIPM, integrating artificial intelligence (AI) and synthetic biology for novel biocontrol.
  • To demonstrate the application of EIPM in developing sustainable agricultural solutions.

Main Methods:

  • Synthesizing evolutionary principles from wild and cultivated plant-pest interactions.
  • Exploring the integration of AI and synthetic biology for designing targeted biocontrol agents.
  • Conducting case studies to identify specific molecular tools for pest management.

Main Results:

  • Identification of resistant protein PUB21DN as a potential tool against citrus Huanglongbing (HLB).
  • Identification of micropeptide APP3-14 as a promising agent for managing HLB.
  • Demonstration of the efficacy of combining evolutionary insights with advanced technologies.

Conclusions:

  • EIPM provides a sustainable alternative to conventional pest management by anticipating pest evolution.
  • AI and synthetic biology are crucial for designing precise and effective biocontrol solutions.
  • The identified protein PUB21DN and micropeptide APP3-14 show significant potential for sustainable citrus HLB management.