Distribution and Characterization of Salmonella enterica Isolates from Irrigation Ponds in the Southeastern United States
Author(s) -
Zhiyao Luo,
Ganyu Gu,
Amber Ginn,
Mihai Giurcanu,
Paige Adams,
George Vellidis,
A.H.C. van Bruggen,
Michelle D. Danyluk,
Anita C. Wright
Publication year - 2015
Publication title -
applied and environmental microbiology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.552
H-Index - 324
eISSN - 1070-6291
pISSN - 0099-2240
DOI - 10.1128/aem.04086-14
Subject(s) - salmonella , salmonella enterica , biology , veterinary medicine , most probable number , bacteria , genetics , medicine
Irrigation water has been implicated as a likely source of produce contamination bySalmonella enterica . Therefore, the distribution ofS. enterica was surveyed monthly in irrigation ponds (n = 10) located within a prime agricultural region in southern Georgia and northern Florida. All ponds and 28.2% of all samples (n = 635) were positive forSalmonella , with an overall geometric mean concentration (0.26 most probable number [MPN]/liter) that was relatively low compared to prior reports for rivers in this region.Salmonella peaks were seasonal; the levels correlated with increased temperature and rainfall (P < 0.05). The numbers and occurrence were significantly higher in water (0.32 MPN/liter and 37% of samples) than in sediment (0.22 MPN/liter and 17% of samples) but did not vary with depth. Representative isolates (n = 185) from different ponds, sample types, and seasons were examined for resistance to 15 different antibiotics; most strains were resistant to streptomycin (98.9%), while 20% were multidrug resistant (MDR) for 2 to 6 antibiotics. DiversiLab repetitive extragenic palindromic-element sequence-based PCR (rep-PCR) revealed genetic diversity and showed 43 genotypes among 191 isolates, as defined by >95% similarity. The genotypes did not partition by pond, season, or sample type. Genetic similarity to known serotypes indicated Hadar, Montevideo, and Newport as the most prevalent. All ponds achieved the current safety standards for genericEscherichia coli in agricultural water, and regression modeling showed that theE. coli level was a significant predictor for the probability ofSalmonella occurrence. However, persistent populations ofSalmonella were widely distributed in irrigation ponds, and the associated risks for produce contamination and subsequent human exposure are unknown, supporting continued surveillance of this pathogen in agricultural settings.
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