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<p>The characterization of antimicrobial susceptibility and other relevant phenotypes in large collections of microbial isolates is a common need across research and clinical microbiology laboratories. Robotization provides unprecedented throughput but involves costs that are prohibitive for the average laboratory. Here, using affordable materials and open-source software, we developed Q-PHAST (Quantitative PHenotyping and Antimicrobial Susceptibility Testing), a unique solution for cost-effective, large-scale phenotyping in a standard microbiology laboratory. Single colonies are grown in a deep 96-well master plate, from which diluted aliquots are used to generate 96 spots on different experimental plates containing solid medium with the substance and concentration of interest. These plates are incubated on inexpensive flatbed scanners that monitor the growth of each spot by obtaining images every 15 min. A simple, python-based software, which can be used via a graphical interface on various operating systems (<a href="https://github.com/Gabaldonlab/Q-PHAST">https://github.com/Gabaldonlab/Q-PHAST</a>), analyzes the images to infer growth, fitness (e.g., doubling rate) and susceptibility (e.g., minimum inhibitory concentration) measures. With &lt;120 min of hands-on time per day for three consecutive days, ready-to-use results are obtained and presented in tables or graphs. This solution enables non-experts with limited resources to perform accurate quantitative phenotyping on hundreds of strains in parallel.</p>

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Simple large-scale quantitative phenotyping and antimicrobial susceptibility testing with Q-PHAST

  • 期刊论文

  • 发表日期：

    2025年5月12日

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  • Juan Carlos Nunez-Rodriguez,
  • Miquel Àngel Schikora-Tamarit,
  • Ewa Ksiezopolska,
  • Toni Gabaldón

摘要

The characterization of antimicrobial susceptibility and other relevant phenotypes in large collections of microbial isolates is a common need across research and clinical microbiology laboratories. Robotization provides unprecedented throughput but involves costs that are prohibitive for the average laboratory. Here, using affordable materials and open-source software, we developed Q-PHAST (Quantitative PHenotyping and Antimicrobial Susceptibility Testing), a unique solution for cost-effective, large-scale phenotyping in a standard microbiology laboratory. Single colonies are grown in a deep 96-well master plate, from which diluted aliquots are used to generate 96 spots on different experimental plates containing solid medium with the substance and concentration of interest. These plates are incubated on inexpensive flatbed scanners that monitor the growth of each spot by obtaining images every 15 min. A simple, python-based software, which can be used via a graphical interface on various operating systems (https://github.com/Gabaldonlab/Q-PHAST), analyzes the images to infer growth, fitness (e.g., doubling rate) and susceptibility (e.g., minimum inhibitory concentration) measures. With <120 min of hands-on time per day for three consecutive days, ready-to-use results are obtained and presented in tables or graphs. This solution enables non-experts with limited resources to perform accurate quantitative phenotyping on hundreds of strains in parallel.