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Impact of Biotic and Abiotic Factors on Listeria monocytogenes, Salmonella enterica, and Enterohemorrhagic Escherichia coli in Agricultural Soil Extracts.
Sharma, Dimple; Kraft, Autumn L; Owade, Joshua O; Milicevic, Mateja; Yi, Jiyoon; Bergholz, Teresa M.
Affiliation
  • Sharma D; Department of Food Science and Human Nutrition, Michigan State University, East Lansing, MI 48824, USA.
  • Kraft AL; Department of Microbiological Sciences, North Dakota State University, Fargo, ND 58105, USA.
  • Owade JO; Department of Food Science and Human Nutrition, Michigan State University, East Lansing, MI 48824, USA.
  • Milicevic M; Department of Biosystems and Agricultural Engineering, Michigan State University, East Lansing, MI 48824, USA.
  • Yi J; Department of Biosystems and Agricultural Engineering, Michigan State University, East Lansing, MI 48824, USA.
  • Bergholz TM; Department of Biosystems and Agricultural Engineering, Michigan State University, East Lansing, MI 48824, USA.
Microorganisms ; 12(7)2024 Jul 22.
Article in En | MEDLINE | ID: mdl-39065266
ABSTRACT
Outbreaks of Enterohemorrhagic Escherichia coli (EHEC), Salmonella enterica, and Listeria monocytogenes linked to fresh produce consumption pose significant food safety concerns. These pathogens can contaminate pre-harvest produce through various routes, including contaminated water. Soil physicochemical properties and flooding can influence pathogen survival in soils. We investigated survival of EHEC, S. enterica, and L. monocytogenes in soil extracts designed to represent soils with stagnant water. We hypothesized pathogen survival would be influenced by soil extract nutrient levels and the presence of native microbes. A chemical analysis revealed higher levels of total nitrogen, phosphorus, and carbon in high-nutrient soil extracts compared to low-nutrient extracts. Pathogen survival was enhanced in high-nutrient, sterile soil extracts, while the presence of native microbes reduced pathogen numbers. A microbiome analysis showed greater diversity in low-nutrient soil extracts, with distinct microbial compositions between extract types. Our findings highlight the importance of soil nutrient composition and microbial dynamics in influencing pathogen behavior. Given key soil parameters, a long short-term memory model (LSTM) effectively predicted pathogen survival. Integrating these factors can aid in developing predictive models for pathogen persistence in agricultural systems. Overall, our study contributes to understanding the complex interplay in agricultural ecosystems, facilitating informed decision-making for crop production and food safety enhancement.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Microorganisms Year: 2024 Document type: Article Affiliation country: United States Country of publication: Switzerland

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Microorganisms Year: 2024 Document type: Article Affiliation country: United States Country of publication: Switzerland