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J Appl Microbiol ; 116(2): 335-49, 2014 Feb.
Article in English | MEDLINE | ID: mdl-24224858

ABSTRACT

AIMS: Three soils that varied in their physicochemical characteristics and microbial diversity were inoculated with Escherichia coli O157:H7 and Salmonella to determine the relative impact of abiotic and biotic factors on the pathogens' survival when the soil was held at 25°C. METHODS AND RESULTS: Three soils that were classified as having low, medium and high microbial diversity were divided into two batches for adjustment to 20% of water-holding capacity and to 40% of water-holding capacity. Soils were inoculated with both green fluorescent-labelled E. coli O157:H7 and red fluorescent-labelled Salmonella (5 log CFU g(-1) dry weight) and held at 25°C. Pathogens inoculated into an acidic soil died off within 9 weeks, whereas they were still detected in the other two soils by enrichment culture after 18 weeks. Moisture did not affect inactivation of E. coli O157:H7, but did affect Salmonella inactivation in soil having the greatest organic load and microbial diversity. Using multiple linear regression analysis, 98.7% of the variability in the inactivation rate for E. coli O157:H7 was explained by a model that included the variables of initial pH and electrical conductivity. Salmonella's inactivation rate was predicted by a model that included pH and initial cell numbers of copiotrophic and oligotrophic bacteria. CONCLUSION: This study provided evidence of specific properties that impact inactivation of E. coli O157:H7 and Salmonella in soils at 25°C. SIGNIFICANCE AND IMPACT OF THE STUDY: Identification of factors influential in the die-off of enteric pathogens will assist in developing guidelines for safe intervals between field contamination events and planting or harvesting of fresh-cut produce crops.


Subject(s)
Escherichia coli O157/physiology , Salmonella/physiology , Soil Microbiology , Soil/chemistry , Animals , Biodiversity , Biomass , Colony Count, Microbial , DNA, Ribosomal Spacer/analysis , Electric Conductivity , Humans , Hydrogen-Ion Concentration , Linear Models , Models, Biological , Phosphoric Monoester Hydrolases/analysis , Urease/analysis , Water/metabolism , beta-Glucosidase/analysis
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