P1-112 Distribution and Genetic Diversity of Salmonella enterica Isolated from Irrigation Water in the Suwannee River Watershed

Monday, July 29, 2013
Exhibit Hall (Charlotte Convention Center)
Zhiyao Luo, University of Florida, Gainesville, FL
Ganyu Gu, Virginia Tech, Painter, VA
Mary Paige Adams, University of Georgia, Tifton, GA
George Vellidis, University of Georgia, Tifton, GA
Ariena VanBruggen, University of Florida, Gainesville, FL
Michelle Danyluk, University of Florida, Lake Alfred, FL
Anita Wright, University of Florida, Gainesville, FL
Introduction: Salmonella enterica is responsible for approximately 42,000 cases of foodborne infection annually in the U.S. (CDC, 2012). Prior research indicates sustained prevalence of Salmonella and unusually high disease incidence associated with the upper Suwannee River Watershed (SRW).

Purpose: This project examined factors that may contribute to the regional contamination of irrigation water by S. enterica and characterized strains isolated from this area.

Methods: S. enterica levels were determined monthly in irrigation water and sediments from a diverse set of farms (n = 10) within the SRW. Various (n = 21) physical/biological parameters were assessed, including fecal indicators. Molecular typing (DiversiLab rep-PCR) was used to determine the relationship of pond isolates (n = 96) to clinical vs. environmental strains (n > 300). Multiplex PCR was performed to predict serotypes (n = 104), and antibiotic resistance of strains (n = 193) was also evaluated.

Results: To date, all 10 ponds were positive for Salmonella from both water and sediment samples. Levels ranged from non-detectable to > 110.0 MPN/100g and frequency from 11.1 to 50%, with some ponds significantly higher than others (P < 0.05). Significant correlations between Salmonella levels and fecal coliforms (r = 0.28, P < 0.01) and E. coli (r = 0.27, P < 0.01) were observed, although correlations for any single parameter were all r < 0.3. Multiplex PCR patterns corresponded to 10 known serotypes, including Newport, but most (81%) showed no identifiable patterns. Pond isolates clustered into 12 genotypes (based on > 85% similarity by rep-PCR), and more strains (50%) were associated with isolates from clinical infections than with strains from the Suwannee River (35%), while some strains (15%) were unique to this study. Antibiotic resistance was observed mostly to streptomycin (100%) and kanamycin (10.4%), with 19.7% resistant to two or more antibiotics.

Significance: These data suggest that these ponds harbor a diverse population of Salmonella, which may pose potential health risks due to their genetic similarity to strains from clinical origin.