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Smith JC, Varriano S, Roach K, Snipes Z, Dawson JL, Shealy J, Dunn LL, Snyder WE, Shariat NW. Prevalence and molecular characterization of Salmonella isolated from wild birds in fresh produce environments. Front Microbiol 2023; 14:1272916. [PMID: 38029194 PMCID: PMC10662084 DOI: 10.3389/fmicb.2023.1272916] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2023] [Accepted: 09/25/2023] [Indexed: 12/01/2023] Open
Abstract
Wild birds pose a difficult food safety risk to manage because they can avoid traditional wildlife mitigation strategies, such as fences. Birds often use agricultural fields and structures as foraging and nesting areas, which can lead to defecation on crops and subsequent transfer of foodborne pathogens. To assess the food safety risk associated with these events, wild bird feces were collected from produce fields across the southeastern United States during the 2021 and 2022 growing seasons. In total 773 fecal samples were collected from 45 farms across Florida, Georgia, South Carolina, and Tennessee, and 2.1% (n = 16) of samples were Salmonella-positive. Importantly, 75% of Salmonella were isolated from moist feces, showing reduced Salmonella viability when feces dry out. 16S microbiome analysis showed that presence of culturable Salmonella in moist feces correlated to a higher proportion of the Enterobacteriaceae family. From the Salmonella-positive samples, 62.5% (10/16) contained multi-serovar Salmonella populations. Overall, 13 serovars were detected, including six most commonly attributed to human illness (Enteriditis, Newport, Typhimurium, Infantis, Saintpaul, and Muenchen). PCR screening identified an additional 59 Salmonella-positive fecal samples, which were distributed across moist (n = 44) and dried feces (n = 15). On-farm point counts and molecular identification from fecal samples identified 57 bird species, including for 10 Salmonella-positive fecal samples. Overall, there was a low prevalence of Salmonella in fecal samples, especially in dried feces, and we found no evidence of Salmonella transmission to proximal foliage or produce. Fecal samples collected in farms close together shared highly related isolates by whole genome sequencing and also had highly similar Salmonella populations with comparable relative frequencies of the same serovars, suggesting the birds acquired Salmonella from a common source.
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Affiliation(s)
- Jared C. Smith
- Departments of Population Health and Microbiology, University of Georgia, Athens, GA, United States
| | - Sofia Varriano
- Department of Entomology, University of Georgia, Athens, GA, United States
| | - Kerrie Roach
- Department of Plant Industry, Clemson University Extension, Charleston, SC, United States
| | - Zach Snipes
- Department of Plant Industry, Clemson University Extension, Charleston, SC, United States
| | - Joshua L. Dawson
- Fort Valley State University Extension, Fort Valley, GA, United States
| | - Justin Shealy
- College of Agricultural and Environmental Sciences, University of Georgia Extension, Athens, GA, United States
| | - Laurel L. Dunn
- Department of Food Science and Technology, University of Georgia, Athens, GA, United States
- Center for Food Safety, University of Georgia, Griffin, GA, United States
| | - William E. Snyder
- Department of Entomology, University of Georgia, Athens, GA, United States
| | - Nikki W. Shariat
- Departments of Population Health and Microbiology, University of Georgia, Athens, GA, United States
- Center for Food Safety, University of Georgia, Griffin, GA, United States
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Obe T, Siceloff AT, Crowe MG, Scott HM, Shariat NW. Combined Quantification and Deep Serotyping for Salmonella Risk Profiling in Broiler Flocks. Appl Environ Microbiol 2023; 89:e0203522. [PMID: 36920215 PMCID: PMC10132105 DOI: 10.1128/aem.02035-22] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2022] [Accepted: 02/08/2023] [Indexed: 03/16/2023] Open
Abstract
Despite a reduction of Salmonella contamination on final poultry products, the level of human salmonellosis cases attributed to poultry has remained unchanged over the last few years. There needs to be improved effort to target serovars which may survive antimicrobial interventions and cause illness, as well as to focus on lessening the amount of contamination entering the processing plant. Advances in molecular enumeration approaches allow for the rapid detection and quantification of Salmonella in pre- and postharvest samples, which can be combined with deep serotyping to properly assess the risk affiliated with a poultry flock. In this study, we collected a total of 160 boot sock samples from 20 broiler farms across four different integrators with different antibiotic management programs. Overall, Salmonella was found in 85% (68/80) of the houses, with each farm having at least one Salmonella-positive house. The average Salmonella quantity across all four complexes was 3.6 log10 CFU/sample. Eleven different serovars were identified through deep serotyping, including all three key performance indicators (KPIs; serovars Enteritidis, Infantis, and Typhimurium) defined by the U.S. Department of Agriculture-Food Safety and Inspection Service (USDA-FSIS). There were eight multidrug resistant isolates identified in this study, and seven which were serovar Infantis. We generated risk scores for each flock based on the presence or absence of KPIs, the relative abundance of each serovar as calculated with CRISPR-SeroSeq (serotyping by sequencing the clustered regularly interspaced palindromic repeats), and the quantity of Salmonella organisms detected. The work presented here provides a framework to develop directed processing approaches and highlights the limitations of conventional Salmonella sampling and culturing methods. IMPORTANCE Nearly one in five foodborne Salmonella illnesses are derived from chicken, making it the largest single food category to cause salmonellosis and indicating a need for effective pathogen mitigation. Although industry has successfully reduced Salmonella incidence in poultry products, there has not been a concurrent reduction in human salmonellosis linked to chicken consumption. New efforts are focused on improved control at preharvest, which requires improved Salmonella surveillance. Here, we present a high-resolution surveillance approach that combines quantity and identity of Salmonella in broiler flocks prior to processing which will further support improved Salmonella controls in poultry. We developed a framework for this approach, indicating that it is possible and important to harness deep serotyping and molecular enumeration to inform on-farm management practices and to minimize risk of cross-contamination between flocks at processing. Additionally, this framework could be adapted to Salmonella surveillance in other food animal production systems.
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Affiliation(s)
- Tomi Obe
- Poultry Diagnostic and Research Center, Department of Population Health, College of Veterinary Medicine, University of Georgia, Athens, Georgia, USA
| | - Amy T. Siceloff
- Poultry Diagnostic and Research Center, Department of Population Health, College of Veterinary Medicine, University of Georgia, Athens, Georgia, USA
| | - Megan G. Crowe
- Poultry Diagnostic and Research Center, Department of Population Health, College of Veterinary Medicine, University of Georgia, Athens, Georgia, USA
| | - H. Morgan Scott
- Department of Veterinary Pathobiology, School of Veterinary Medicine and Biomedical Sciences, Texas A&M University, College Station, Texas, USA
| | - Nikki W. Shariat
- Poultry Diagnostic and Research Center, Department of Population Health, College of Veterinary Medicine, University of Georgia, Athens, Georgia, USA
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Rasamsetti S, Berrang ME, Cox NA, Shariat NW. Assessing Salmonella Prevalence and Complexity Through Processing Using Different Culture Methods. Poult Sci 2022; 101:101949. [PMID: 35688029 PMCID: PMC9189229 DOI: 10.1016/j.psj.2022.101949] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2022] [Revised: 04/18/2022] [Accepted: 04/22/2022] [Indexed: 11/16/2022] Open
Abstract
Conventional Salmonella surveillance requires a week for isolation, confirmation, and subsequent serotyping. We previously showed that this could be reduced by 24 h by combining the pre-enrichment and enrichment steps into a single selective pre-enrichment step and was tested on directly after picking. The goal of this study was 2-fold: 1) to evaluate the use of selective pre-enrichment through each step of processing, including postintervention when the Salmonella load is reduced, and 2) to assess any changes in serovar populations in Salmonella positive samples. Duplicate carcass drip samples, each representative of 500 broiler carcasses, were collected by catching processing water drip under moving carcass shackle lines in each of three commercial broiler slaughter plants. Samples were collected post-pick, post-inside-outside bird wash (IOBW), and post-chill; duplicate wing rinses were performed pre- and post-antimicrobial parts dip. Each processing plant was sampled 6 times for a total of 180 samples collected. The number of Salmonella positives identified with selective pre-enrichment conditions (48/180) was similar to traditional selective enrichment culture conditions (52/180), showed good concordance in recovery rate between the 2 culture methods (Fisher's exact test, P = 0.72). We also found that the incidence of Salmonella reduced dramatically after antimicrobial intervention (post-pick 66.7% vs. post chill 8.3%). When serovar populations were evaluated in Salmonella positive samples using CRISPR-SeroSeq, we detected four different Salmonella serovars, Kentucky, Infantis, Schwarzengrund, and Typhimurium, and their incidence rose between post-pick and post-IOBW. The relative abundance of Infantis within individual samples increased between post-pick and post-IOBW while the relative abundance of the other 3 serovars decreased. These results suggest that a selective pre-enrichment step reduces the time required for Salmonella isolation without negatively affecting detection and serovar profiles in culture positive samples were not altered between culture conditions used.
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Regional Salmonella Differences in United States Broiler Production from 2016 to 2020 and the Contribution of Multiserovar Populations to Salmonella Surveillance. Appl Environ Microbiol 2022; 88:e0020422. [PMID: 35384708 DOI: 10.1128/aem.00204-22] [Citation(s) in RCA: 19] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
Poultry remains a considerable source of foodborne salmonellosis despite significant reduction of Salmonella incidence during processing. There are multiple entry points for Salmonella during production that can lead to contamination during slaughter, and it is important to distinguish the serovars present between the different stages to enact appropriate controls. National Salmonella data from the U.S. Department of Agriculture-Food Safety Inspection Service (USDA-FSIS) monitoring of poultry processing was analyzed from 2016 to 2020. The overall Salmonella incidence at processing in broiler carcasses and intact parts (parts) decreased from 9.00 to 6.57% over this period. The incidence in parts was higher (11.15%) than in carcasses (4.78%). Regional differences include higher proportions of serovars Infantis and Typhimurium in the Atlantic and higher proportion of serovar Schwarzengrund in the Southeast. For Georgia, the largest broiler-producing state, USDA-FSIS data were compared to Salmonella monitoring data from breeder flocks over the same period, revealing serovar Kentucky as the major serovar in breeders (67.91%) during production but not at processing, suggesting that it is more effectively removed during antimicrobial interventions. CRISPR-SeroSeq was performed on breeder samples collected between 2020 and 2021 to explain the incongruence between pre- and postharvest and showed that 32% of samples contain multiple serovars, with up to 11 serovars found in a single flock. High-resolution sequencing identifies serovar patterns at the population level and can provide insight to develop targeted controls. The work presented may apply to other food production systems where Salmonella is a concern, since it overcomes limitations associated with conventional culture. IMPORTANCE Salmonella is a leading cause of bacterial foodborne illness in the United States, with poultry as a significant Salmonella reservoir. We show the relative decrease in Salmonella over a 5-year period from 2016 to 2020 in processed chicken parts and highlight regional differences with respect to the prevalence of clinically important Salmonella serovars. Our results show that the discrepancy between Salmonella serovars found in pre- and postharvest poultry during surveillance are due in part by the limited detection depth offered by traditional culture techniques. Despite the reduction of Salmonella at processing, the number of human salmonellosis cases has remained stable, which may be attributed to differences in virulence among serovars and their associated risk. When monitoring for Salmonella, it is imperative to identify all serovars present to appropriately assess public health risk and to implement the most effective Salmonella controls.
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Shariat NW, Larsen BR, Schaeffer C, Richardson KE. Animal Feed Contains Diverse Populations of
Salmonella. J Appl Microbiol 2022; 132:4476-4485. [DOI: 10.1111/jam.15525] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2021] [Revised: 02/07/2022] [Accepted: 03/08/2022] [Indexed: 11/29/2022]
Affiliation(s)
- Nikki W. Shariat
- Department of Population Health University of Georgia Athens GA USA
| | - Bryan R. Larsen
- Department of Population Health University of Georgia Athens GA USA
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Schmidt JW, Murray SA, Dickey AM, Wheeler TL, Harhay DM, Arthur TM. Twenty-Four-Month Longitudinal Study Suggests Little to No Horizontal Gene Transfer In Situ between Third-Generation Cephalosporin-Resistant Salmonella and Third-Generation Cephalosporin-Resistant Escherichia coli in a Beef Cattle Feedyard. J Food Prot 2022; 85:323-335. [PMID: 34788437 DOI: 10.4315/jfp-21-371] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2021] [Accepted: 11/17/2021] [Indexed: 11/11/2022]
Abstract
ABSTRACT Third-generation cephalosporins (3GCs) are preferred treatments for serious human Salmonella enterica infections. Beef cattle are suspected to contribute to human 3GC-resistant Salmonella infections. Commensal 3GC-resistant Escherichia coli are thought to act as reservoirs of 3GC resistance because these strains are isolated more frequently than are 3GC-resistant Salmonella strains at beef cattle feedyards. During each of 24 consecutive months, four samples of pen surface material were obtained from five pens (N = 480) at a Nebraska feedyard to determine to the contribution of 3GC-resistant E. coli to the occurrence of 3GC-resistant Salmonella. Illumina whole genome sequencing was performed, and susceptibility to 14 antimicrobial agents was determined for 121 3GC-susceptible Salmonella, 121 3GC-resistant Salmonella, and 203 3GC-resistant E. coli isolates. 3GC-susceptible Salmonella isolates were predominantly from serotypes Muenchen (70.2%) and Montevideo clade 1 (23.1%). 3GC-resistant Salmonella isolates were predominantly from serotypes Montevideo clade 2 (84.3%). One bla gene type (blaCMY-2) and the IncC plasmid replicon were present in 100 and 97.5% of the 3GC-resistant Salmonella, respectively. Eleven bla gene types were detected in the 3GC-resistant E. coli, which were distributed across 42 multilocus sequence types. The blaCMY-2 gene and IncC plasmid replicon were present in 37.9 and 9.9% of the 3GC-resistant E. coli, respectively. These results suggest that 3GC resistance in Salmonella was primarily due the persistence of Salmonella Montevideo clade 2 with very minimal or no contribution from 3GC-resistant E. coli via horizontal gene transfer and that 3GC-resistant E. coli may not be a useful indicator for 3GC-resistant Salmonella in beef cattle production environments. HIGHLIGHTS
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Affiliation(s)
- John W Schmidt
- U.S. Department of Agriculture, Agricultural Research Service, Roman L. Hruska U.S. Meat Animal Research Center, Clay Center, Nebraska 68933, USA
| | - Sarah A Murray
- U.S. Department of Agriculture, Agricultural Research Service, Roman L. Hruska U.S. Meat Animal Research Center, Clay Center, Nebraska 68933, USA
| | - Aaron M Dickey
- U.S. Department of Agriculture, Agricultural Research Service, Roman L. Hruska U.S. Meat Animal Research Center, Clay Center, Nebraska 68933, USA
| | - Tommy L Wheeler
- U.S. Department of Agriculture, Agricultural Research Service, Roman L. Hruska U.S. Meat Animal Research Center, Clay Center, Nebraska 68933, USA
| | - Dayna M Harhay
- U.S. Department of Agriculture, Agricultural Research Service, Roman L. Hruska U.S. Meat Animal Research Center, Clay Center, Nebraska 68933, USA
| | - Terrance M Arthur
- U.S. Department of Agriculture, Agricultural Research Service, Roman L. Hruska U.S. Meat Animal Research Center, Clay Center, Nebraska 68933, USA
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Bell RL, Kase JA, Harrison LM, Balan KV, Babu U, Chen Y, Macarisin D, Kwon HJ, Zheng J, Stevens EL, Meng J, Brown EW. The Persistence of Bacterial Pathogens in Surface Water and Its Impact on Global Food Safety. Pathogens 2021; 10:1391. [PMID: 34832547 PMCID: PMC8617848 DOI: 10.3390/pathogens10111391] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2021] [Revised: 10/15/2021] [Accepted: 10/19/2021] [Indexed: 11/17/2022] Open
Abstract
Water is vital to agriculture. It is essential that the water used for the production of fresh produce commodities be safe. Microbial pathogens are able to survive for extended periods of time in water. It is critical to understand their biology and ecology in this ecosystem in order to develop better mitigation strategies for farmers who grow these food crops. In this review the prevalence, persistence and ecology of four major foodborne pathogens, Shiga toxin-producing Escherichia coli (STEC), Salmonella, Campylobacter and closely related Arcobacter, and Listeria monocytogenes, in water are discussed. These pathogens have been linked to fresh produce outbreaks, some with devastating consequences, where, in a few cases, the contamination event has been traced to water used for crop production or post-harvest activities. In addition, antimicrobial resistance, methods improvements, including the role of genomics in aiding in the understanding of these pathogens, are discussed. Finally, global initiatives to improve our knowledge base of these pathogens around the world are touched upon.
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Affiliation(s)
- Rebecca L. Bell
- Office of Regulatory Science, Center for Food Safety and Applied Nutrition, Food and Drug Administration, College Park, MD 20740, USA; (J.A.K.); (Y.C.); (D.M.); (H.J.K.); (J.Z.); (E.W.B.)
| | - Julie A. Kase
- Office of Regulatory Science, Center for Food Safety and Applied Nutrition, Food and Drug Administration, College Park, MD 20740, USA; (J.A.K.); (Y.C.); (D.M.); (H.J.K.); (J.Z.); (E.W.B.)
| | - Lisa M. Harrison
- Office of Applied Research and Safety Assessment, Center for Food Safety and Applied Nutrition, Food and Drug Administration, Laurel, MD 20708, USA; (L.M.H.); (K.V.B.); (U.B.)
| | - Kannan V. Balan
- Office of Applied Research and Safety Assessment, Center for Food Safety and Applied Nutrition, Food and Drug Administration, Laurel, MD 20708, USA; (L.M.H.); (K.V.B.); (U.B.)
| | - Uma Babu
- Office of Applied Research and Safety Assessment, Center for Food Safety and Applied Nutrition, Food and Drug Administration, Laurel, MD 20708, USA; (L.M.H.); (K.V.B.); (U.B.)
| | - Yi Chen
- Office of Regulatory Science, Center for Food Safety and Applied Nutrition, Food and Drug Administration, College Park, MD 20740, USA; (J.A.K.); (Y.C.); (D.M.); (H.J.K.); (J.Z.); (E.W.B.)
| | - Dumitru Macarisin
- Office of Regulatory Science, Center for Food Safety and Applied Nutrition, Food and Drug Administration, College Park, MD 20740, USA; (J.A.K.); (Y.C.); (D.M.); (H.J.K.); (J.Z.); (E.W.B.)
| | - Hee Jin Kwon
- Office of Regulatory Science, Center for Food Safety and Applied Nutrition, Food and Drug Administration, College Park, MD 20740, USA; (J.A.K.); (Y.C.); (D.M.); (H.J.K.); (J.Z.); (E.W.B.)
| | - Jie Zheng
- Office of Regulatory Science, Center for Food Safety and Applied Nutrition, Food and Drug Administration, College Park, MD 20740, USA; (J.A.K.); (Y.C.); (D.M.); (H.J.K.); (J.Z.); (E.W.B.)
| | - Eric L. Stevens
- Office of the Center Director, Center for Food Safety and Applied Nutrition, Food and Drug Administration, College Park, MD 20740, USA;
| | - Jianghong Meng
- Joint Institute for Food Safety and Applied Nutrition, Center for Food Safety and Security Systems, University of Maryland, College Park, MD 20742, USA;
| | - Eric W. Brown
- Office of Regulatory Science, Center for Food Safety and Applied Nutrition, Food and Drug Administration, College Park, MD 20740, USA; (J.A.K.); (Y.C.); (D.M.); (H.J.K.); (J.Z.); (E.W.B.)
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Larsen BR, Richardson KE, Obe T, Schaeffer C, Shariat NW. Mixed
Salmonella
cultures reveal competitive advantages between strains during pre‐enrichment and selective enrichment. J Food Saf 2021. [DOI: 10.1111/jfs.12934] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Affiliation(s)
- Bryan R. Larsen
- Department of Population Health College of Veterinary Medicine, University of Georgia Athens Georgia USA
| | | | - Tomi Obe
- Department of Population Health College of Veterinary Medicine, University of Georgia Athens Georgia USA
| | | | - Nikki W. Shariat
- Department of Population Health College of Veterinary Medicine, University of Georgia Athens Georgia USA
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