TY - JOUR
T1 - The Composition of Microbial Communities in Six Streams, and Its Association With Environmental Conditions, and Foodborne Pathogen Isolation
AU - Chung, Taejung
AU - Weller, Daniel L.
AU - Kovac, Jasna
N1 - Funding Information:
This work was supported by the USDA National Institute of Food and Agriculture Hatch Appropriations under Project #PEN04646 and Accession #1015787, the Penn State College of Agricultural Sciences and the Department of Food Science. Microbial community sequencing was supported by the Penn State Huck Institutes of the Life Sciences’ Genomics Core Facility. DW was supported by the National Institute of Environmental Health Sciences of the NIH under the award number T32ES007271.
Funding Information:
We thank Martin Wiedmann for the support of DW?s work during his postdoctoral appointment at the Cornell University, Sherry Roof for assistance with sample processing, and Hanan Salim for his contribution to the microbial diversity analysis. Funding. This work was supported by the USDA National Institute of Food and Agriculture Hatch Appropriations under Project #PEN04646 and Accession #1015787, the Penn State College of Agricultural Sciences and the Department of Food Science. Microbial community sequencing was supported by the Penn State Huck Institutes of the Life Sciences? Genomics Core Facility. DW was supported by the National Institute of Environmental Health Sciences of the NIH under the award number T32ES007271.
Publisher Copyright:
© Copyright © 2020 Chung, Weller and Kovac.
PY - 2020/7/29
Y1 - 2020/7/29
N2 - Surface water used for produce production is a potential source of pre-harvest contamination with foodborne pathogens. Decisions on how to mitigate food safety risks associated with pre-harvest water use currently rely on generic Escherichia coli-based water quality tests, although multiple studies have suggested that E. coli levels are not a suitable indicator of the food safety risks under all relevant environmental conditions. Hence, improved understanding of spatiotemporal variability in surface water microbiota composition is needed to facilitate identification of alternative or supplementary indicators that co-occur with pathogens. To this end, we aimed to characterize the composition of bacterial and fungal communities in the sediment and water fractions of 68 agricultural water samples collected from six New York streams. We investigated potential associations between the composition of microbial communities, environmental factors and Salmonella and/or Listeria monocytogenes isolation. We found significantly different composition of fungal and bacterial communities among sampled streams and among water fractions of collected samples. This indicates that geography and the amount of sediment in a collected water sample may affect its microbial composition, which was further supported by identified associations between the flow rate, turbidity, pH and conductivity, and microbial community composition. Lastly, we identified specific microbial families that were weakly associated with the presence of Salmonella or Listeria monocytogenes, however, further studies on samples from additional streams are needed to assess whether identified families may be used as indicators of pathogen presence.
AB - Surface water used for produce production is a potential source of pre-harvest contamination with foodborne pathogens. Decisions on how to mitigate food safety risks associated with pre-harvest water use currently rely on generic Escherichia coli-based water quality tests, although multiple studies have suggested that E. coli levels are not a suitable indicator of the food safety risks under all relevant environmental conditions. Hence, improved understanding of spatiotemporal variability in surface water microbiota composition is needed to facilitate identification of alternative or supplementary indicators that co-occur with pathogens. To this end, we aimed to characterize the composition of bacterial and fungal communities in the sediment and water fractions of 68 agricultural water samples collected from six New York streams. We investigated potential associations between the composition of microbial communities, environmental factors and Salmonella and/or Listeria monocytogenes isolation. We found significantly different composition of fungal and bacterial communities among sampled streams and among water fractions of collected samples. This indicates that geography and the amount of sediment in a collected water sample may affect its microbial composition, which was further supported by identified associations between the flow rate, turbidity, pH and conductivity, and microbial community composition. Lastly, we identified specific microbial families that were weakly associated with the presence of Salmonella or Listeria monocytogenes, however, further studies on samples from additional streams are needed to assess whether identified families may be used as indicators of pathogen presence.
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U2 - 10.3389/fmicb.2020.01757
DO - 10.3389/fmicb.2020.01757
M3 - Article
C2 - 32849385
AN - SCOPUS:85089336526
SN - 1664-302X
VL - 11
JO - Frontiers in Microbiology
JF - Frontiers in Microbiology
M1 - 1757
ER -