A most-probable-number assay for enumeration of infectious Cryptosporidium parvum oocysts

T R Slifko1, D E Huffman, J B Rose

  • 1Department of Marine Science, University of South Florida, St. Petersburg, Florida 33701-5016, USA. slifko@seas.marine.usf.edu

Insights

A new cell culture assay accurately quantifies infectious Cryptosporidium oocysts in water. This focus detection method-most probable number (FDM-MPN) assay is valuable for water quality testing and disinfection studies.

Area of Science:

  • Environmental microbiology
  • Parasitology
  • Water quality analysis

Background:

  • Cryptosporidium oocysts are persistent contaminants in drinking and recreational water sources worldwide.
  • Accurate quantification of infectious oocysts is crucial for assessing water safety and disinfection efficacy.

Purpose of the Study:

  • To adapt and validate a cell culture infectivity assay for quantifying viable Cryptosporidium oocysts.
  • To establish a reliable method for enumerating infectious oocysts in water samples.

Main Methods:

  • A focus detection method-most probable number (FDM-MPN) assay was developed using HCT-8 cell monolayers.
  • Infectious oocysts were quantified by sporozoite invasion and focus clustering.
  • Oocyst infectivity was assessed in relation to age and pulsed white light treatment.

Main Results:

  • The FDM-MPN assay demonstrated a strong correlation (r=0.9726) between calculated and inoculated infectious oocysts for young oocysts.
  • The assay effectively enumerated viable oocysts, with high statistical significance (P < 0.0001).
  • Both FDM-MPN and animal infectivity assays showed >4 log(10) inactivation after pulsed white light treatment.

Conclusions:

  • The FDM-MPN assay provides a reliable method for enumerating infectious Cryptosporidium oocysts in cell culture.
  • This assay can be utilized by municipal water systems and water testing organizations for routine survival and disinfection studies.
  • Oocyst age significantly impacts infectivity, a factor the FDM-MPN assay can account for.

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