Microbial systems biology: New frontiers open to predictive microbiology

The field of Systems Biology is a rapidly evolving area of research. It follows on from the previous experimental and theoretical ‘omics’ revolution in biology. Now that we have through the use of these tools many ‘indices’ of biological systems available the next step is to actually start composing...

Full description

Saved in:
Bibliographic Details
Published in:International journal of food microbiology 2008-11, Vol.128 (1), p.16-21
Main Authors: Brul, Stanley, Mensonides, Femke I.C., Hellingwerf, Klaas J., Teixeira de Mattos, M. Joost
Format: Article
Language:English
Subjects:
Adaptation, Physiological
food industry
Food Microbiology
food pathogens
food safety
foodborne illness
Gene Expression Regulation, Fungal
Genomics
Kinetics
microbial physiology
microbial system biology
microbiological quality
model food systems
Modeling
Models, Biological
Molecular Biology
Physiology
Predictive microbiology
Predictive Value of Tests
Saccharomyces cerevisiae
Saccharomyces cerevisiae - genetics
Saccharomyces cerevisiae - growth & development
Saccharomyces cerevisiae - metabolism
Saccharomyces cerevisiae - physiology
Saccharomyces cerevisiae Proteins - metabolism
Stress response
Systems Biology
Temperature
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:The field of Systems Biology is a rapidly evolving area of research. It follows on from the previous experimental and theoretical ‘omics’ revolution in biology. Now that we have through the use of these tools many ‘indices’ of biological systems available the next step is to actually start composing the systems that these indices specify. In this paper we will discuss the developments in the field of Systems Biology as they pertain to predictive food microbiology and give an example of state of the art current approaches. The data discussed in the case study deal with the resistance of the yeast Saccharomyces cerevisiae towards environmental temperature changes through adaptation of its metabolism, protein signalling and gene-expression. The results are integrated and its implications for the definition of new experiments discussed; the iteration between experiment driven model definition and model driven experimentation being characteristic for contemporary Systems Biology approaches. The stress condition discussed represents in no way a practical situation in food microbiology but what it teaches may well be applied in such cases. We will indicate how the latter may be achieved.
ISSN:0168-1605
1879-3460
DOI:10.1016/j.ijfoodmicro.2008.04.029