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Trends in Biotechnology
Article . 2019 . Peer-reviewed
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Article . 2019
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Microbial Consortium Design Benefits from Metabolic Modeling

descriptionPublicationkeyboard_double_arrow_right Article 01 Feb 2019 Belgium English Publisher:Elsevier BVJournal:Trends in Biotechnology, volume 37, pages 123-125 (issn: 0167-7799, Copyright policy )
Authors: Faust, Karoline;

doi: 10.1016/j.tibtech.2018.11.004

pmid: 30477738

Microbial Consortium Design Benefits from Metabolic Modeling

Abstract

Consortia outperform single microorganisms at multiple tasks. However, consortium design is challenging and successful application examples are rare. A major challenge is the selection of consortium members such that performance is optimized. In a recent publication, metabolic modeling has been successfully applied to aid consortium design.

Country
Belgium
Related Organizations
Keywords

Science & Technology, 3001 Agricultural biotechnology, Microbial Consortia, 06 Biological Sciences, Models, Biological, 09 Engineering, Metabolism, Biotechnology & Applied Microbiology, 10 Technology, 3206 Medical biotechnology, 3106 Industrial biotechnology, Life Sciences & Biomedicine, Biotechnology

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 45
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    		 Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    		 Top 10%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
45
Top 10%
Top 10%
Top 10%
Green