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<p>Potato bacterial disease caused by <i>Ralstonia solanacearum</i> is devastating to potato production in south west China, causing significant economic losses in local potato production. The pathogen can infect both plant tissues and tubers. After infecting tubers, the disease can spread widely with irrigation water in the soil or during the tuber storage stage. For seed potato production, in many countries <i>R. solanacearum</i> is a quarantine object for quality. However, most of the existing rapid detection methods target to plant tissues, water and soil, while fewer reports focus on tubers. Therefore, there is an urgent need to develop a rapid method for field monitoring. This study addresses the urgent need for rapid detection of the <i>R. solanacearum</i>, in which we developed and optimized a SYBR Green I-based LAMP visualization method and a real-time fluorescence quantitative LAMP (q-LAMP) approach. The results indicate that the primer pairs designed from the <i>fli</i>C gene exhibit specificity and sensitivity for <i>R. solanacearum</i> in potato tubers. Additionally, we explored an effective sampling method for field detection, further combined with visual LAMP method, enhanced the detection accuracy and efficiency. Hence, the LAMP method in this study not only aids in the effective diagnosis of tuber infected by <i>R. solanacearum</i> but also provides significant application for improving the implementation of seeds quality standardization.</p>

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Optimization and application of LAMP-based methods for the detection of Ralstonia solanacearum in potato tubers

  • 期刊论文

  • 发表日期：

    2026年1月20日

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  • Faying Zhang,
  • Jian Zhou,
  • Zuo Hu,
  • Wenwen Liu,
  • Qiaomei Yang,
  • Zhou Li,
  • Liping Si,
  • Ju Yang,
  • Guojing Tu,
  • Jing Liu,
  • Yang Hai,
  • Wei Tang

摘要

Potato bacterial disease caused by Ralstonia solanacearum is devastating to potato production in south west China, causing significant economic losses in local potato production. The pathogen can infect both plant tissues and tubers. After infecting tubers, the disease can spread widely with irrigation water in the soil or during the tuber storage stage. For seed potato production, in many countries R. solanacearum is a quarantine object for quality. However, most of the existing rapid detection methods target to plant tissues, water and soil, while fewer reports focus on tubers. Therefore, there is an urgent need to develop a rapid method for field monitoring. This study addresses the urgent need for rapid detection of the R. solanacearum, in which we developed and optimized a SYBR Green I-based LAMP visualization method and a real-time fluorescence quantitative LAMP (q-LAMP) approach. The results indicate that the primer pairs designed from the fliC gene exhibit specificity and sensitivity for R. solanacearum in potato tubers. Additionally, we explored an effective sampling method for field detection, further combined with visual LAMP method, enhanced the detection accuracy and efficiency. Hence, the LAMP method in this study not only aids in the effective diagnosis of tuber infected by R. solanacearum but also provides significant application for improving the implementation of seeds quality standardization.