Literature DB >> 19435216

Do microbial interactions and cultivation media decrease the accuracy of Salmonella surveillance systems and outbreak investigations?

Randall S Singer1, Anne E Mayer, Timothy E Hanson, Richard E Isaacson.   

Abstract

Cultivation methods are commonly used in Salmonella surveillance systems and outbreak investigations, and consequently, conclusions about Salmonella evolution and transmission are highly dependent on the performance characteristics of these methods. Past studies have shown that Salmonella serotypes can exhibit different growth characteristics in the same enrichment and selective media. This could lead not only to biased conclusions about the dominant strain present in a sample with mixed Salmonella populations, but also to a low sensitivity for detecting a Salmonella strain in a sample with only a single strain present. The objective of this study was to determine whether cultivation media select preferentially for specific strains of Salmonella in heterogeneous cultures. In this study, four different Salmonella strains (one Salmonella Newport, two Salmonella Typhimurium, and one Salmonella Enteritidis) were competed in a broth-based experiment and a bovine fecal experiment with varied combinations and concentrations of each strain. In all experiments, the strain of Salmonella Newport was the most competitive, regardless of the starting concentration and cultivation protocol. One strain of Salmonella Typhimurium was rarely detected in competition, even when it was the only strain present in bovine feces. Overall, the probability of detecting a specific Salmonella strain had little to do with its starting concentration in the sample. The bias introduced by culture could be dramatically biasing Salmonella surveillance systems and hindering traceback investigations during Salmonella outbreaks. Future studies should focus on the microbiological explanations for this Salmonella interstrain variability, approaches for minimizing the bias, and estimations of the public health significance of this bias.

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Year:  2009        PMID: 19435216     DOI: 10.4315/0362-028x-72.4.707

Source DB:  PubMed          Journal:  J Food Prot        ISSN: 0362-028X            Impact factor:   2.077


  15 in total

1.  Prevalence, distribution, and diversity of Salmonella enterica in a major produce region of California.

Authors:  Lisa Gorski; Craig T Parker; Anita Liang; Michael B Cooley; Michele T Jay-Russell; Andrew G Gordus; E Robert Atwill; Robert E Mandrell
Journal:  Appl Environ Microbiol       Date:  2011-03-04       Impact factor: 4.792

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

Authors:  Amy T Siceloff; Doug Waltman; Nikki W Shariat
Journal:  Appl Environ Microbiol       Date:  2022-04-06       Impact factor: 5.005

3.  Sensitivity of the ISO 6579:2002/Amd 1:2007 standard method for detection of Salmonella spp. on mesenteric lymph nodes from slaughter pigs.

Authors:  R C Mainar-Jaime; S Andrés; J P Vico; B San Román; V Garrido; M J Grilló
Journal:  J Clin Microbiol       Date:  2012-10-24       Impact factor: 5.948

4.  Selective enrichment media bias the types of Salmonella enterica strains isolated from mixed strain cultures and complex enrichment broths.

Authors:  Lisa Gorski
Journal:  PLoS One       Date:  2012-04-04       Impact factor: 3.240

5.  Horizontal gene transfer of a ColV plasmid has resulted in a dominant avian clonal type of Salmonella enterica serovar Kentucky.

Authors:  Timothy J Johnson; Jessica L Thorsness; Cole P Anderson; Aaron M Lynne; Steven L Foley; Jing Han; W Florian Fricke; Patrick F McDermott; David G White; Mahesh Khatri; Adam L Stell; Cristian Flores; Randall S Singer
Journal:  PLoS One       Date:  2010-12-22       Impact factor: 3.240

6.  Determination of Antimicrobial Resistance Patterns in Salmonella from Commercial Poultry as Influenced by Microbiological Culture and Antimicrobial Susceptibility Testing Methods.

Authors:  Xi Wang; W Evan Chaney; Hilary O Pavlidis; James P McGinnis; J Allen Byrd; Yuhua Z Farnell; Timothy J Johnson; Audrey P McElroy; Morgan B Farnell
Journal:  Microorganisms       Date:  2021-06-17

7.  Using metagenomic analyses to estimate the consequences of enrichment bias for pathogen detection.

Authors:  James B Pettengill; Eugene McAvoy; James R White; Marc Allard; Eric Brown; Andrea Ottesen
Journal:  BMC Res Notes       Date:  2012-07-27

8.  Co-enriching microflora associated with culture based methods to detect Salmonella from tomato phyllosphere.

Authors:  Andrea R Ottesen; Antonio Gonzalez; Rebecca Bell; Caroline Arce; Steven Rideout; Marc Allard; Peter Evans; Errol Strain; Steven Musser; Rob Knight; Eric Brown; James B Pettengill
Journal:  PLoS One       Date:  2013-09-09       Impact factor: 3.240

9.  Effect of cattle on Salmonella carriage, diversity and antimicrobial resistance in free-ranging wild boar (Sus scrofa) in northeastern Spain.

Authors:  Nora Navarro-Gonzalez; Gregorio Mentaberre; Concepción M Porrero; Emmanuel Serrano; Ana Mateos; José M López-Martín; Santiago Lavín; Lucas Domínguez
Journal:  PLoS One       Date:  2012-12-17       Impact factor: 3.240

Review 10.  Prevalence of human Salmonellosis in Ethiopia: a systematic review and meta-analysis.

Authors:  Getachew Tadesse
Journal:  BMC Infect Dis       Date:  2014-02-19       Impact factor: 3.090

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