Detection and Control of Fusarium oxysporum from Soft Rot in Dendrobium officinale by Loop-Mediated Isothermal

Caiyun Xiao1,2,3, Rongyu Li1,2,3

  • 1Institute of Crop Protection, Guizhou University, Guiyang 550025, China.

Biology
|November 27, 2021
PubMed

Insights

A new loop-mediated isothermal amplification (LAMP) assay rapidly detects Fusarium oxysporum, a destructive pathogen of Dendrobium officinale. This method enables early diagnosis and effective disease management, improving crop yield and quality.

Area of Science:

  • Plant Pathology
  • Molecular Biology
  • Biotechnology

Background:

  • Soft rot caused by Fusarium oxysporum significantly reduces Dendrobium officinale yield and quality in China.
  • Rapid and accurate detection of F. oxysporum is crucial for integrated disease management strategies.

Purpose of the Study:

  • To develop a novel loop-mediated isothermal amplification (LAMP) assay for the rapid and accurate detection of F. oxysporum in Dendrobium officinale.
  • To optimize LAMP reaction conditions for efficient detection of the target pathogen.

Main Methods:

  • Primer design targeting the translation elongation factor-1α (TEF-1α) gene region of F. oxysporum.
  • Optimization of LAMP reaction parameters including time, temperature, MgSO4 concentration, and primer concentrations.
  • Detection of amplified products using SYBR green I for visual identification.

Main Results:

  • The optimized LAMP assay detected F. oxysporum efficiently at 62°C for 60 minutes.
  • The assay demonstrated a minimum detection concentration of 5 fg/µL DNA for F. oxysporum.
  • Positive LAMP test results facilitated timely fungicide application, achieving over 75% control of soft rot.

Conclusions:

  • The developed LAMP assay provides a sensitive and specific method for early diagnosis of F. oxysporum in Dendrobium officinale.
  • This assay can be applied in field settings for detecting the pathogen in infected tissues and soil.
  • Effective disease management, including synergistic fungicide combinations, can be implemented based on early detection.

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