Strategies for Optimizing Salmonella Control

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Strategies for Optimizing Salmonella Control Steven C. Ricke Director of the Center for Food Safety Wray Endowed Chair in Food Safety Dept. of Food Science

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Presented at 2013 Arkansas Association for Food Protection annual conference. Steven C. Ricke Director of the Center for Food Safety Wray Endowed Chair in Food Safety Dept. of Food Science University of Arkansas

Transcript of Strategies for Optimizing Salmonella Control

Page 1: Strategies for Optimizing Salmonella Control

Strategies for Optimizing Salmonella Control

Steven C. Ricke

Director of the Center for Food Safety

Wray Endowed Chair in Food SafetyDept. of Food Science

Page 2: Strategies for Optimizing Salmonella Control

Salmonella -Why Do We Care?

• Infection and disease in humans- Mortalities- Cost $billions each year

• Survivability in the Environment – Recontaminate food animals– Unpredictable reservoirs - pets– Difficult timeframe for traceback

• Virulence and antibiotic resistance– Pathogenic phenotype– Dissemination of antibiotic resistance

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What makes Salmonella pathogenic?

– Pathogenicity = Ability to cause disease in the host

– Virulence = Potency of infection

– Virulence genes = Anything in the bacterial genome associated with pathogenesis

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Regulation of Virulence in Salmonella

External signals: pH, O2, iron, osmolarity, cation, organic acids, in vivo signals

Induction of virulence genes = pathogenesis

Pathogenesis = stress adaptation, adhesion, invasion, macrophage survival

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Complexity of Salmonella Pathogenic Response• Multiple factors in the gastrointestinal tract

• Variability in human/animal host response to Salmonella

• Multiple environmental matrices during food processing = potential cross protection

• Need: more comprehensive genetics

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Sequence of Pathogen Genomes

• Good news: Completed for more and more Salmonella serotypes

• Bad news: Potential information is overwhelming!!

• How do we use this tool kit to meet the needs of the food industry?

– Tracking: Comparing sequences among isolates – Functional genomics: Identifying essential genes with unique functions for

pathogenesis

– Quantifying gene expression to understand regulation of pathogenesis

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Quantifying Gene Expression: Transcriptional profiling of pathogens

Transcriptional Profiling Overview

Hybridization of labeled probes on microarray slide

Measurement of Fluorescencein 2 channels

red/green

Data analysisIdentification of

differentiallyexpressed genes

Control

Test

RNA extraction from samples

RNA

FluorescentlyLabeled cDNA Probes

cDNA

Application of microarray analysis of foodborne Salmonella in poultry production: A review. S.C. Ricke , A. Khatiwara , and Y.M. Kwon. 2013 Poultry Science 92 :2243–2250.

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Genomic Screening for Cross-Protection Potential in Salmonella to Antimicrobials A, B, or C

Genes A-Resist Genes B-Resist Genes C-Resist

Genes A-Resist Genes B-Resist

Genes C-Resist

No Cross protection = Optimal

Extensive Cross protection = Not good

Application of microarray analysis of foodborne Salmonella in poultry production: A review. S.C. Ricke , A. Khatiwara , and Y.M. Kwon. 2013 Poultry Science 92 :2243–2250.

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Cross Protection - Genomic Studies

• Combinations of heat and organic acids-Decrease viability: synergism-pH: 4.0 vs. 7.0-Acid type: Acetate vs. propionate-Membrane disruption: K ion leakage

• Transcriptome responses: – pH 4.0 and 55 C– Acetate and propionate similar genetically– Repression of heat shock genes– Membrane damage is key

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Applications - Genomic Studies• Sudden shifts in pH may increase S. Typhimurium

virulence level in a food matrix-How long?-Acid type

• Thermal interaction with virulence should be considered

• Chemical composition of food before and after physical processing may be a factor in virulence response

Growth and transcriptional response of Salmonella Typhimurium LT2 to glucose–lysine-based Maillard reaction products generated under low water activity conditions. V. I. Chalova, O. Hernández-Hernández, A. Muthaiyan, S.A. Sirsat, S. Natesan, M. L. Sanz, F. J. Moreno, C. A. O'Bryan, P. G. Crandall, S.C. Ricke. 2012. Food Res. International. 45: 1044-1053.

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How Do We Use The Results? Examples for Application of Salmonella Genomics

- Cost effective control measures = High throughput screening for designing optimal multiple hurdles

- Risk assessment or How safe does it need to be? Better models for food processing impact on infection potential

-Vaccine technologies: Designing optimal vaccine targets

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Thank You