Poultry processing and the application of microbiome mapping.

bioinformatics foodborne pathogens microbiome mapping poultry processing rapid methods

Journal

Poultry science
ISSN: 1525-3171
Titre abrégé: Poult Sci
Pays: England
ID NLM: 0401150

Informations de publication

Date de publication:
Feb 2020
Historique:
received: 18 09 2019
entrez: 8 2 2020
pubmed: 8 2 2020
medline: 2 6 2020
Statut: ppublish

Résumé

Chicken is globally one of the most popular food animals. However, it is also one of the major reservoirs for foodborne pathogens, annually resulting in continued morbidity and mortality incidences worldwide. In an effort to reduce the threat of foodborne disease, the poultry industry has implemented a multifaceted antimicrobial program that incorporates not only chemical compounds, but also extensive amounts of water application and pathogen monitoring. Unfortunately, the pathogen detection methods currently used by the poultry industry lack speed, relying on microbiological plate methods and molecular detection systems that take time and lack precision. In many cases, the time to data acquisition can take 12 to 24 h. This is problematic if shorter-term answers are required which is becoming more likely as the public demand for chicken meat is only increasing, leading to new pressures to increase line speed. Therefore, new innovations in detection methods must occur to mitigate the risk of foodborne pathogens that could result from faster slaughter and processing speeds. Future technology will have 2 tracks: rapid methods that are meant to detect pathogens and indicator organisms within a few hours, and long-term methods that use microbiome mapping to evaluate sanitation and antimicrobial efficacy. Together, these methods will provide rapid, comprehensive data capable of being applied in both risk-assessment algorithms and used by management to safeguard the public.

Identifiants

pubmed: 32029154
pii: S0032-5791(19)58069-5
doi: 10.1016/j.psj.2019.12.019
pmc: PMC7587767
pii:
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

678-688

Informations de copyright

Copyright © 2019 The Author(s). Published by Elsevier Inc. All rights reserved.

Références

Appl Environ Microbiol. 2009 Dec;75(23):7537-41
pubmed: 19801464
Vet Clin North Am Food Anim Pract. 1998 Mar;14(1):151-64
pubmed: 9532674
J Clin Microbiol. 2016 Aug;54(8):1946-8
pubmed: 27307454
Front Microbiol. 2018 Feb 20;9:270
pubmed: 29515550
Front Microbiol. 2018 Sep 07;9:2140
pubmed: 30245681
Front Microbiol. 2017 Sep 21;8:1829
pubmed: 29033905
Crit Rev Microbiol. 2017 May;43(3):370-392
pubmed: 27869522
Front Microbiol. 2019 Jan 23;9:3280
pubmed: 30728816
Methods Mol Biol. 2019;1918:213-227
pubmed: 30580412
Epidemiol Infect. 2018 Dec 6;:1-8
pubmed: 30520390
Sensors (Basel). 2018 Aug 14;18(8):
pubmed: 30110960
PLoS One. 2012;7(2):e30087
pubmed: 22347999
Genomics. 2016 Jan;107(1):1-8
pubmed: 26554401
Appl Environ Microbiol. 2013 Sep;79(17):5112-20
pubmed: 23793624
Front Microbiol. 2019 Jun 04;10:972
pubmed: 31214127
Crit Rev Microbiol. 2016 Aug;42(4):656-75
pubmed: 26016737
Poult Sci. 2019 Jan 1;98(1):393-397
pubmed: 30125007
Appl Environ Microbiol. 2004 Aug;70(8):4800-6
pubmed: 15294817
Front Vet Sci. 2019 May 24;6:157
pubmed: 31179291
Front Microbiol. 2018 Sep 25;9:2161
pubmed: 30319557
Front Microbiol. 2018 Mar 02;9:345
pubmed: 29552001
Front Microbiol. 2017 Aug 18;8:1587
pubmed: 28868052
Curr Opin Microbiol. 2015 Apr;24:38-46
pubmed: 25625313
Crit Rev Microbiol. 2004;30(1):7-24
pubmed: 15116760
mSystems. 2017 Jan 3;2(1):
pubmed: 28066818
Clin Microbiol Rev. 2004 Oct;17(4):840-62, table of contents
pubmed: 15489351
ILAR J. 2015;56(2):228-40
pubmed: 26323632
Sci Rep. 2017 Feb 23;7:43354
pubmed: 28230180
PLoS One. 2013;8(2):e57190
pubmed: 23468931
Microbiome. 2015 Nov 10;3:51
pubmed: 26552373
Poult Sci. 2013 Feb;92(2):562-72
pubmed: 23300324
Poult Sci. 2016 Oct 1;95(10):2372-82
pubmed: 27444443
Proc Natl Acad Sci U S A. 1977 Nov;74(11):5088-90
pubmed: 270744
J Appl Microbiol. 2018 Aug;125(2):313-327
pubmed: 29675864
Am J Hum Biol. 2017 Jan;29(1):
pubmed: 27762069
Front Microbiol. 2018 Jul 10;9:1482
pubmed: 30042741
J Vis Exp. 2014 Dec 10;(94):
pubmed: 25548939
Front Microbiol. 2017 Sep 04;8:1561
pubmed: 28928718
BMC Bioinformatics. 2017 May 30;18(1):283
pubmed: 28558684
Nat Methods. 2010 May;7(5):335-6
pubmed: 20383131
PLoS One. 2016 Mar 18;11(3):e0151944
pubmed: 26992104
Front Microbiol. 2017 May 23;8:909
pubmed: 28588568
J Biomol Tech. 2016 Dec;27(4):125-128
pubmed: 27672352
Genome Biol. 2007;8(8):R171
pubmed: 17708774
Sci Rep. 2016 Jun 17;6:28063
pubmed: 27312200
Ann Epidemiol. 2016 May;26(5):311-21
pubmed: 27180112
Mol Cell. 2012 Jun 29;46(6):893-5
pubmed: 22749402
Nat Biotechnol. 2019 Aug;37(8):852-857
pubmed: 31341288
Front Microbiol. 2019 May 21;10:1107
pubmed: 31231317

Auteurs

K M Feye (KM)

Southern Plains Agricultural Research Center, USDA-ARS, Athens, TX 30605.

D R Thompson (DR)

Department of Computer Science and Engineering, University of Arkansas, Fayetteville, AR 72704.

M J Rothrock (MJ)

US National Poultry Research Center, Egg Safety and Quality Research, USDA-ARS, Athens, GA 30605.

M H Kogut (MH)

Southern Plains Agricultural Research Center, USDA-ARS, Athens, TX 30605.

S C Ricke (SC)

Center for Food Safety, Department of Food Science, University of Arkansas, Fayetteville, AR 72704. Electronic address: sricke@uark.edu.

Articles similaires

Robotic Surgical Procedures Animals Humans Telemedicine Models, Animal

Odour generalisation and detection dog training.

Lyn Caldicott, Thomas W Pike, Helen E Zulch et al.
1.00
Animals Odorants Dogs Generalization, Psychological Smell
Animals TOR Serine-Threonine Kinases Colorectal Neoplasms Colitis Mice
Animals Tail Swine Behavior, Animal Animal Husbandry

Classifications MeSH