Literature DB >> 35384708

Regional Salmonella Differences in United States Broiler Production from 2016 to 2020 and the Contribution of Multiserovar Populations to Salmonella Surveillance.

Amy T Siceloff1, Doug Waltman2, Nikki W Shariat1,3.   

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.

Entities:  

Keywords:  CRISPR-SeroSeq; Salmonella; monitoring; poultry; salmonellosis; serovars

Mesh:

Year:  2022        PMID: 35384708      PMCID: PMC9040615          DOI: 10.1128/aem.00204-22

Source DB:  PubMed          Journal:  Appl Environ Microbiol        ISSN: 0099-2240            Impact factor:   5.005


  56 in total

1.  rpoS-Regulated core genes involved in the competitive fitness of Salmonella enterica Serovar Kentucky in the intestines of chickens.

Authors:  Ying Cheng; Adriana Ayres Pedroso; Steffen Porwollik; Michael McClelland; Margie D Lee; Tiffany Kwan; Katherine Zamperini; Vivek Soni; Holly S Sellers; Scott M Russell; John J Maurer
Journal:  Appl Environ Microbiol       Date:  2014-10-31       Impact factor: 4.792

2.  Antimicrobial Resistance Hidden within Multiserovar Salmonella Populations.

Authors:  Amy T Siceloff; Naomi Ohta; Keri N Norman; Guy H Loneragan; Bo Norby; H Morgan Scott; Nikki W Shariat
Journal:  Antimicrob Agents Chemother       Date:  2021-05-18       Impact factor: 5.191

Review 3.  Current aspects of Salmonella contamination in the US poultry production chain and the potential application of risk strategies in understanding emerging hazards.

Authors:  Kalavathy Rajan; Zhaohao Shi; Steven C Ricke
Journal:  Crit Rev Microbiol       Date:  2016-11-21       Impact factor: 7.624

4.  Salmonella detection in commercially prepared livestock feed and the raw ingredients and equipment used to manufacture the feed: A systematic review and meta-analysis.

Authors:  Elizabeth M Parker; Anthony J Parker; Gwen Short; Annette M O'Connor; Thomas E Wittum
Journal:  Prev Vet Med       Date:  2021-11-18       Impact factor: 2.670

Review 5.  Salmonella vaccines in poultry: past, present and future.

Authors:  Taseen S Desin; Wolfgang Köster; Andrew A Potter
Journal:  Expert Rev Vaccines       Date:  2013-01       Impact factor: 5.217

6.  Conserved CRISPR arrays in Salmonella enterica serovar Infantis can serve as qPCR targets to detect Infantis in mixed serovar populations.

Authors:  A K Richards; B A Hopkins; N W Shariat
Journal:  Lett Appl Microbiol       Date:  2020-05-13       Impact factor: 2.858

7.  Salmonella Contamination of Broiler Chicken Carcasses at Critical Steps of the Slaughter Process and in the Environment of Two Slaughter Plants: Prevalence, Genetic Profiles, and Association with the Final Carcass Status.

Authors:  Selmane Boubendir; Julie Arsenault; Sylvain Quessy; Alexandre Thibodeau; Philippe Fravalo; William P ThÉriault; Sylvain Fournaise; Marie-Lou Gaucher
Journal:  J Food Prot       Date:  2021-02-01       Impact factor: 2.077

8.  Quantifying the Survival of Multiple Salmonella enterica Serovars In Vivo via Massively Parallel Whole-Genome Sequencing To Predict Zoonotic Risk.

Authors:  Prerna Vohra; Marie Bugarel; Frances Turner; Guy H Loneragan; Jayne C Hope; John Hopkins; Mark P Stevens
Journal:  Appl Environ Microbiol       Date:  2018-01-31       Impact factor: 4.792

9.  Prevalence of Salmonella enterica on poultry processing equipment after completion of sanitization procedures.

Authors:  Tomi Obe; Rama Nannapaneni; Wes Schilling; Li Zhang; Chris McDaniel; Aaron Kiess
Journal:  Poult Sci       Date:  2020-06-26       Impact factor: 3.352

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