Precision food safety: A paradigm shift in detection and control of foodborne pathogens

Research output: Contribution to journalReview article

Abstract

The implementation of whole-genome sequencing in food safety has revolutionized foodborne pathogen tracking and outbreak investigations. The vast amounts of genomic data that are being produced through ongoing surveillance efforts continue advancing our understanding of pathogen diversity and genome biology. Produced genomic data are also supporting the use of metagenomics and metatranscriptomics for detection and functional characterization of microbiological hazards in foods and food processing environments. In addition to that, many studies have shown that metabolic and pathogenic potential, antimicrobial resistance, and other phenotypes relevant to food safety can be predicted from whole-genome sequences, omitting the need for multiple laboratory tests. Nevertheless, further work in the area of functional inference is necessary to enable accurate interpretation of functional information inferred from genomic and metagenomic data, as well as real-time detection and tracking of high-risk pathogen subtypes and microbiomes.

Original languageEnglish (US)
Article numbere00164-19
JournalmSystems
Volume4
Issue number3
DOIs
StatePublished - May 2019

Fingerprint

Food safety
paradigm shift
food safety
Food Safety
Pathogens
food pathogens
Genomics
Metagenomics
genomics
Genome
genome
pathogen
Genes
Safety
Paradigm
biological hazards
outbreak investigation
Food processing
Food Handling
food processing

All Science Journal Classification (ASJC) codes

  • Microbiology
  • Physiology
  • Biochemistry
  • Ecology, Evolution, Behavior and Systematics
  • Modeling and Simulation
  • Molecular Biology
  • Genetics
  • Computer Science Applications

Cite this

@article{8f14dd3a108d4a0aa88a5d2cf5deef04,
title = "Precision food safety: A paradigm shift in detection and control of foodborne pathogens",
abstract = "The implementation of whole-genome sequencing in food safety has revolutionized foodborne pathogen tracking and outbreak investigations. The vast amounts of genomic data that are being produced through ongoing surveillance efforts continue advancing our understanding of pathogen diversity and genome biology. Produced genomic data are also supporting the use of metagenomics and metatranscriptomics for detection and functional characterization of microbiological hazards in foods and food processing environments. In addition to that, many studies have shown that metabolic and pathogenic potential, antimicrobial resistance, and other phenotypes relevant to food safety can be predicted from whole-genome sequences, omitting the need for multiple laboratory tests. Nevertheless, further work in the area of functional inference is necessary to enable accurate interpretation of functional information inferred from genomic and metagenomic data, as well as real-time detection and tracking of high-risk pathogen subtypes and microbiomes.",
author = "Jasna Kovac",
year = "2019",
month = "5",
doi = "10.1128/mSystems.00164-19",
language = "English (US)",
volume = "4",
journal = "mSystems",
issn = "2379-5077",
publisher = "American Society for Microbiology",
number = "3",

}

Precision food safety : A paradigm shift in detection and control of foodborne pathogens. / Kovac, Jasna.

In: mSystems, Vol. 4, No. 3, e00164-19, 05.2019.

Research output: Contribution to journalReview article

TY - JOUR

T1 - Precision food safety

T2 - A paradigm shift in detection and control of foodborne pathogens

AU - Kovac, Jasna

PY - 2019/5

Y1 - 2019/5

N2 - The implementation of whole-genome sequencing in food safety has revolutionized foodborne pathogen tracking and outbreak investigations. The vast amounts of genomic data that are being produced through ongoing surveillance efforts continue advancing our understanding of pathogen diversity and genome biology. Produced genomic data are also supporting the use of metagenomics and metatranscriptomics for detection and functional characterization of microbiological hazards in foods and food processing environments. In addition to that, many studies have shown that metabolic and pathogenic potential, antimicrobial resistance, and other phenotypes relevant to food safety can be predicted from whole-genome sequences, omitting the need for multiple laboratory tests. Nevertheless, further work in the area of functional inference is necessary to enable accurate interpretation of functional information inferred from genomic and metagenomic data, as well as real-time detection and tracking of high-risk pathogen subtypes and microbiomes.

AB - The implementation of whole-genome sequencing in food safety has revolutionized foodborne pathogen tracking and outbreak investigations. The vast amounts of genomic data that are being produced through ongoing surveillance efforts continue advancing our understanding of pathogen diversity and genome biology. Produced genomic data are also supporting the use of metagenomics and metatranscriptomics for detection and functional characterization of microbiological hazards in foods and food processing environments. In addition to that, many studies have shown that metabolic and pathogenic potential, antimicrobial resistance, and other phenotypes relevant to food safety can be predicted from whole-genome sequences, omitting the need for multiple laboratory tests. Nevertheless, further work in the area of functional inference is necessary to enable accurate interpretation of functional information inferred from genomic and metagenomic data, as well as real-time detection and tracking of high-risk pathogen subtypes and microbiomes.

UR - http://www.scopus.com/inward/record.url?scp=85067386448&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85067386448&partnerID=8YFLogxK

U2 - 10.1128/mSystems.00164-19

DO - 10.1128/mSystems.00164-19

M3 - Review article

C2 - 31186312

AN - SCOPUS:85067386448

VL - 4

JO - mSystems

JF - mSystems

SN - 2379-5077

IS - 3

M1 - e00164-19

ER -