Literature DB >> 19630516

The effects of transport and lairage on counts of Escherichia coli O157 in the feces and on the hides of individual cattle.

Narelle Fegan1, Glen Higgs, Lesley L Duffy, Robert S Barlow.   

Abstract

OBJECTIVES: The main objective of this study was to determine the impact of transport and lairage on the isolation rate and the number of Escherichia coli O157 on cattle. MATERIALS: Ninety animals, divided into three groups (A, B, and C) of 30 animals each, were used in this study. Individual animals were tagged, and samples were collected from the hides and feces of each at a feedlot and again after slaughter. The carcass of each animal was also sampled. Samples were also collected from the feedlot pens, the sides and floors of the transport trucks, and abattoir holding pens. The isolation rate and the number of E. coli O157 were estimated using a combination of immunomagnetic separation and the Most Probable Number technique.
RESULTS: Cattle hides were more likely to be contaminated with E. coli O157 at the feedlot (31%) than at the abattoir (4%). E. coli O157 was detected in 18% and 12% of cattle feces collected at the feedlot and after slaughter, respectively. E. coli O157 was isolated from truck floors (26%), truck sides (11%), abattoir pen rails (47%), and pen floors (42%). The mean count of E. coli O157 in positive feces was log(10) 1.17 and 2.37 MPN/g at the feedlot and slaughter, respectively. A 3 log(10) increase in the number of E. coli O157 was observed between the feedlot (2.66 MPN/g) and slaughter (5.66 MPN/g) in the feces of one animal in group B. E. coli O157 was isolated from the hide and carcass of this animal.
CONCLUSIONS: Transport and lairage did not lead to an increase in the number or isolation rate of E. coli O157 from cattle. APPLICATIONS: Intervention strategies for reducing E. coli O157 contamination of cattle carcasses should target mechanisms that limit the impact of animals shedding a high number throughout production and processing.

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Year:  2009        PMID: 19630516     DOI: 10.1089/fpd.2009.0338

Source DB:  PubMed          Journal:  Foodborne Pathog Dis        ISSN: 1535-3141            Impact factor:   3.171


  7 in total

1.  The effect of transportation and lairage on faecal shedding and carcass contamination with Escherichia coli O157 and O26 in very young calves in New Zealand.

Authors:  P Jaros; A L Cookson; A Reynolds; H Withers; R Clemens; G Brightwell; J Mills; J Marshall; D J Prattley; D M Campbell; S Hathaway; N P French
Journal:  Epidemiol Infect       Date:  2018-05-23       Impact factor: 4.434

2.  Presence and Virulence Characteristics of Shiga Toxin Escherichia coli and Non-Shiga Toxin-Producing Escherichia coli O157 in Products from Animal Protein Supply Chain Enterprises in South Africa.

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Journal:  Foodborne Pathog Dis       Date:  2022-05-05       Impact factor: 3.788

3.  Livestock trade networks for guiding animal health surveillance.

Authors:  Jo L Hardstaff; Barbara Häsler; Jonathan R Rushton
Journal:  BMC Vet Res       Date:  2015-04-01       Impact factor: 2.741

4.  Saltelli Global Sensitivity Analysis and Simulation Modelling to Identify Intervention Strategies to Reduce the Prevalence of Escherichia coli O157 Contaminated Beef Carcasses.

Authors:  Victoria J Brookes; David Jordan; Stephen Davis; Michael P Ward; Jane Heller
Journal:  PLoS One       Date:  2015-12-29       Impact factor: 3.240

5.  A Comparison of 16S rRNA Profiles Through Slaughter in Australian Export Beef Abattoirs.

Authors:  Sanga Kang; Joshua Ravensdale; Ranil Coorey; Gary A Dykes; Robert Barlow
Journal:  Front Microbiol       Date:  2019-11-29       Impact factor: 5.640

6.  Quantitative risk assessment of haemolytic uremic syndrome associated with beef consumption in Argentina.

Authors:  Victoria Brusa; Magdalena Costa; Nora L Padola; Analía Etcheverría; Fernando Sampedro; Pablo S Fernandez; Gerardo A Leotta; Marcelo L Signorini
Journal:  PLoS One       Date:  2020-11-13       Impact factor: 3.240

7.  Regional variation in the prevalence of E. coli O157 in cattle: a meta-analysis and meta-regression.

Authors:  Md Zohorul Islam; Alfred Musekiwa; Kamrul Islam; Shahana Ahmed; Sharmin Chowdhury; Abdul Ahad; Paritosh Kumar Biswas
Journal:  PLoS One       Date:  2014-04-01       Impact factor: 3.240

  7 in total

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