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<p>This study explores the utilization of plant-based systems for the production of monoclonal antibodies (MAbs), specifically targeting the <i>Papaya ringspot virus</i> (PRSV). Traditionally, immunodiagnostics for PRSV rely on labor-intensive methods involving animal-based production of polyclonal antibodies (PAbs). In contrast, this research demonstrates the feasibility of expressing PRSV V<sub>L</sub> antibody fragments in <i>Nicotiana benthamiana</i> plants, leveraging their ability to perform eukaryotic protein synthesis and glycosylation. Plant-based platforms offer advantages such as flexibility, scalability, lower production costs, and reduced risk of contamination by animal pathogens. While plantibodies have historically been used for plant immunization and pathogen resistance, this study pioneers their application in pathogen detection within host plants. Such advancements could significantly streamline and democratize disease detection, potentially mitigating crop losses and enhancing agricultural sustainability.</p>

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Plant-based production of monoclonal antibodies for rapid detection of Papaya ringspot virus

  • 期刊论文

  • 发表日期：

    2025年2月17日

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  • A. Abdul Kader Jailani,
  • Anirudha Chattopadhyay,
  • Anirban Roy,
  • Bikash Mandal

摘要

This study explores the utilization of plant-based systems for the production of monoclonal antibodies (MAbs), specifically targeting the Papaya ringspot virus (PRSV). Traditionally, immunodiagnostics for PRSV rely on labor-intensive methods involving animal-based production of polyclonal antibodies (PAbs). In contrast, this research demonstrates the feasibility of expressing PRSV VL antibody fragments in Nicotiana benthamiana plants, leveraging their ability to perform eukaryotic protein synthesis and glycosylation. Plant-based platforms offer advantages such as flexibility, scalability, lower production costs, and reduced risk of contamination by animal pathogens. While plantibodies have historically been used for plant immunization and pathogen resistance, this study pioneers their application in pathogen detection within host plants. Such advancements could significantly streamline and democratize disease detection, potentially mitigating crop losses and enhancing agricultural sustainability.