Meta-regression analysis of commensal and pathogenic Escherichia coli survival in soil and water

Environ Sci Technol. 2014 Jun 17;48(12):6763-71. doi: 10.1021/es501677c. Epub 2014 Jun 2.

Abstract

The extent to which pathogenic and commensal E. coli (respectively PEC and CEC) can survive, and which factors predominantly determine the rate of decline, are crucial issues from a public health point of view. The goal of this study was to provide a quantitative summary of the variability in E. coli survival in soil and water over a broad range of individual studies and to identify the most important sources of variability. To that end, a meta-regression analysis on available literature data was conducted. The considerable variation in reported decline rates indicated that the persistence of E. coli is not easily predictable. The meta-analysis demonstrated that for soil and water, the type of experiment (laboratory or field), the matrix subtype (type of water and soil), and temperature were the main factors included in the regression analysis. A higher average decline rate in soil of PEC compared with CEC was observed. The regression models explained at best 57% of the variation in decline rate in soil and 41% of the variation in decline rate in water. This indicates that additional factors, not included in the current meta-regression analysis, are of importance but rarely reported. More complete reporting of experimental conditions may allow future inference on the global effects of these variables on the decline rate of E. coli.

MeSH terms

  • Escherichia coli / cytology*
  • Hydrogen-Ion Concentration
  • Microbial Viability*
  • Regression Analysis
  • Soil Microbiology*
  • Temperature
  • Water Microbiology*