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 language | English (US) |
|---|---|
| Article number | e00164-19 |
| Journal | mSystems |
| Volume | 4 |
| Issue number | 3 |
| DOIs | |
| State | Published - May 2019 |
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All Science Journal Classification (ASJC) codes
- Microbiology
- Physiology
- Biochemistry
- Ecology, Evolution, Behavior and Systematics
- Modeling and Simulation
- Molecular Biology
- Genetics
- Computer Science Applications
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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 journal › Review 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 -