Evidence map›Paper›PMID 25911476›Full record

ArticleApplied and environmental microbiology2015

Distribution and Characterization of Salmonella enterica Isolates from Irrigation Ponds in the Southeastern United States.

Zhiyao Luo, Ganyu Gu, Amber Ginn, Mihai C Giurcanu, Paige Adams, George Vellidis, Ariena H C van Bruggen, Michelle D Danyluk, Anita C Wright

Abstract read
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Article in Applied and environmental microbiology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

32 citing papers in PubMed.

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  11. Revisiting the Biological Behavior ofFrontiers in microbiology · 2022
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  14. Free-Living Aquatic Turtles as Sentinels ofFrontiers in veterinary science · 2021
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  16. Total Coliform and GenericHorticulturae · 2020
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  19. Correlation ofFrontiers in microbiology · 2020
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  20. Review
4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

9 authors.

Zhiyao LuoDepartment of Food Science and Human Nutrition, University of Florida, Gainesville, Florida, USA.
Ganyu GuEmerging Pathogens Institute and Department of Plant Pathology, University of Florida, Gainesville, Florida, USA.
Amber GinnDepartment of Food Science and Human Nutrition, University of Florida, Gainesville, Florida, USA.
Mihai C GiurcanuDepartment of Statistics, University of Florida, Gainesville, Florida, USA.
Paige AdamsBiological and Agricultural Engineering Department, University of Georgia, Tifton, Georgia, USA.
George VellidisBiological and Agricultural Engineering Department, University of Georgia, Tifton, Georgia, USA.
Ariena H C van BruggenEmerging Pathogens Institute and Department of Plant Pathology, University of Florida, Gainesville, Florida, USA.
Michelle D DanylukDepartment of Food Science and Human Nutrition, University of Florida, Gainesville, Florida, USA Citrus Research and Education Center, University of Florida, Lake Alfred, Florida, USA.
Anita C WrightFood Science and Nutrition Department and The Emerging Pathogens Institute, University of Florida, Gainesville, Florida, USA acw@ufl.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Irrigation water has been implicated as a likely source of produce contamination by Salmonella enterica. Therefore, the distribution of S. 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 for Salmonella, 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 generic Escherichia coli in agricultural water, and regression modeling showed that the E. coli level was a significant predictor for the probability of Salmonella occurrence. However, persistent populations of Salmonella 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.

Indexed as

Agricultural IrrigationAnti-Bacterial AgentsBacterial LoadDrug Resistance, BacterialFloridaGenetic VariationGenotypeGeorgiaMicrobial Sensitivity TestsMolecular TypingPondsSalmonella entericaSeasonsAnti-Bacterial Agents

Identifiers

PMID25911476
PMCPMC4475880

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.