Into the metabolic wild: Unveiling hidden pathways of microbial metabolism

Microbial metabolism has been deeply studied over decades and it is considered to be understood to a great extent. Annotated genome sequences of many microbial species have contributed a lot to generating biochemical knowledge on metabolism. However, researchers still discover novel pathways, unforeseen reactions or unexpected metabolites which contradict to the expected canon of biochemical reactions in living organisms. Here, we highlight a few examples of such non-canonical pathways, how they were found, and what their importance in microbial biotechnology may be. The predictive power of metabolic modelling, well-founded on biochemical knowledge and genomic information is discussed in the light of both discovery of yet unknown existing metabolic routes and the prediction of others, new to Nature.

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Publication Details

Journal
Microbial Biotechnology
Published
2024-08-01
DOI
https://doi.org/10.1111/1751-7915.14548
Citations
6
Primary Topic
Microbial Metabolic Engineering and Bioproduction
Type
article
Field-Weighted Citation Impact
1.40

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article

Into the metabolic wild: Unveiling hidden pathways of microbial metabolism

Diethard Mattanovich, Özge Ata
6 citations
Microbial Biotechnology
Microbial Metabolic Engineering and Bioproduction
1.40
article

Into the metabolic wild: Unveiling hidden pathways of microbial metabolism

Diethard Mattanovich, Özge Ata
article en
6 citations

Abstract

Microbial metabolism has been deeply studied over decades and it is considered to be understood to a great extent. Annotated genome sequences of many microbial species have contributed a lot to generating biochemical knowledge on metabolism. However, researchers still discover novel pathways, unforeseen reactions or unexpected metabolites which contradict to the expected canon of biochemical reactions in living organisms. Here, we highlight a few examples of such non-canonical pathways, how they were found, and what their importance in microbial biotechnology may be. The predictive power of metabolic modelling, well-founded on biochemical knowledge and genomic information is discussed in the light of both discovery of yet unknown existing metabolic routes and the prediction of others, new to Nature.

Microbial BiotechnologyVol. 17(8)
Austrian Centre of Industrial Biotechnology (Austria) (AT), BOKU University (AT)
Austrian Science Fund, Horizon 2020 Framework Programme
Life in Land
Openalex Percentile: Top 19%
Microbial Metabolic Engineering and Bioproduction
1.40
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