4.6 Article

Use and limitations of genome-scale metabolic models in food microbiology

期刊

CURRENT OPINION IN FOOD SCIENCE
卷 43, 期 -, 页码 225-231

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ELSEVIER SCI LTD
DOI: 10.1016/j.cofs.2021.12.010

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资金

  1. SNF [P1LAP3_199476]
  2. Marie Sklodowska-Curie Action ITNs SynCrop [764591]
  3. Marie Sklodowska-Curie Actions E-Muse [956126]
  4. [NWOENPPS.LIFT.019.005]
  5. Marie Curie Actions (MSCA) [956126, 764591] Funding Source: Marie Curie Actions (MSCA)
  6. Swiss National Science Foundation (SNF) [P1LAP3_199476] Funding Source: Swiss National Science Foundation (SNF)

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Microbes play a key role in creating safe, edible, and enriched fermented food products through their metabolism. Metabolic modeling is a valuable tool for integrating large datasets and linking genotype to phenotype, addressing challenges in food microbiology such as safety, biotransformation, and food enhancement.
Microbes are key to creating safe, edible and enriched fermented food products. This is largely achieved by their metabolism. Thus, the ability to understand the wiring of the complete cellular metabolism is critical to control the fermentation processes. Metabolic modelling is a useful tool for integration of large datasets to link genotype to phenotype. Here, we summarise how metabolic models are being used to address the challenges in safety, biotransformation and food enhancement in food-relevant settings. Finally, we discuss how metabolic modelling can be integrated to assess more complex scenarios such as microbial communities. Despite many remaining challenges, metabolic models hold a large potential for use in food microbiology.

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