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Methods in virus diagnostics: from ELISA to next generation sequencing.

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Summary
This summary is machine-generated.

New plant virus diagnostic tools must be easy to use and establish, not just offer performance benefits over enzyme-linked immunosorbent assay (ELISA) and real-time polymerase chain reaction (PCR). Human factors and stakeholder engagement are key to adopting novel virus detection methods.

Keywords:
Field testingLAMP assaysMolecular diagnosticsMultiplex, LuminexNext generation sequencingReal-time PCR

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Area of Science:

  • Plant virology
  • Diagnostic technology development
  • Biotechnology

Background:

  • Routine plant virus detection relies on established methods like enzyme-linked immunosorbent assay (ELISA) and real-time polymerase chain reaction (PCR).
  • Despite advancements, newer diagnostic technologies face low adoption rates in routine laboratory settings.
  • Understanding the characteristics of successful routine diagnostic tools is crucial for evaluating new methods.

Purpose of the Study:

  • To analyze the factors influencing the adoption of new plant virus diagnostic technologies.
  • To identify the essential attributes of routine diagnostic tools by examining established methods.
  • To explore the potential and challenges of emerging diagnostic approaches.

Main Methods:

  • Comparative analysis of established diagnostic methods (ELISA, real-time PCR) to identify key success factors.
  • Review of emerging plant virus detection technologies, including loop-mediated isothermal amplification (LAMP), Luminex bead arrays, and next-generation sequencing (NGS).
  • Assessment of field-based diagnostics like Lateral Flow Devices (LFDs) and their limitations.

Main Results:

  • Established methods like ELISA and real-time PCR offer accessibility, ease of use, and robustness.
  • Emerging technologies focus on field applicability (LAMP), multiplexing (Luminex), and virus discovery (NGS).
  • Barriers to adopting field-based technologies are often behavioral, not performance-related, necessitating new collaborations.

Conclusions:

  • Future routine diagnostics must offer advantages over current methods and be user-friendly for widespread adoption.
  • Next-generation sequencing (NGS) shows promise for convergence of discovery and multiplexing, but data analysis expertise is critical.
  • Human factors, including user behavior, laboratory practices, and policy, alongside technical performance, will ultimately determine the success of new diagnostic tools.