Resource allocation models: theory and applications in microbial biotechnology

Wild-type cells allocate their limited resources to express proteins that support growth and survival in their natural environments. In contrast, biotechnology aims to maximize key performance indicators such as yield, productivity, or titer. Maximizing performance indicators, however, inevitably encounters physical, biochemical, genetic, and evolutionary constraints that create trade-offs between competing objectives. A central challenge in microbial biotechnology is therefore to align cellular behavior with production goals, which can be achieved by manipulating cultivation conditions and intracellular resource allocation strategies through targeted metabolic engineering or adaptive laboratory evolution. Resource allocation models provide a theoretical framework to understand and guide such optimization efforts. Here, we review the current state of resource allocation modeling, including tools, methods, and theoretical foundations, and discuss their current applications in microbial biotechnology.

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Publication Details

Journal
Current Opinion in Biotechnology
Published
2025-11-24
DOI
https://doi.org/10.1016/j.copbio.2025.103391
Primary Topic
Microbial Metabolic Engineering and Bioproduction
Type
article
Field-Weighted Citation Impact
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article

Resource allocation models: theory and applications in microbial biotechnology

Frank J. Bruggeman, Pranas Grigaitis, Ralf Steuer, Bas Teusink et al.
Current Opinion in Biotechnology
Microbial Metabolic Engineering and Bioproduction
article

Resource allocation models: theory and applications in microbial biotechnology

Frank J. Bruggeman, Pranas Grigaitis, Ralf Steuer, Bas Teusink, Maaike Remeijer
article en

Abstract

Wild-type cells allocate their limited resources to express proteins that support growth and survival in their natural environments. In contrast, biotechnology aims to maximize key performance indicators such as yield, productivity, or titer. Maximizing performance indicators, however, inevitably encounters physical, biochemical, genetic, and evolutionary constraints that create trade-offs between competing objectives. A central challenge in microbial biotechnology is therefore to align cellular behavior with production goals, which can be achieved by manipulating cultivation conditions and intracellular resource allocation strategies through targeted metabolic engineering or adaptive laboratory evolution. Resource allocation models provide a theoretical framework to understand and guide such optimization efforts. Here, we review the current state of resource allocation modeling, including tools, methods, and theoretical foundations, and discuss their current applications in microbial biotechnology.

Current Opinion in BiotechnologyVol. 97
Vrije Universiteit Amsterdam (NL), Leipzig University (DE)
Openalex Percentile: Top 68%
Microbial Metabolic Engineering and Bioproduction
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Resource allocation models: theory and applications in microbial biotechnology — Frank J. Bruggeman, Pranas Grigaitis, et al. · Current Opinion in Biotechnology (2025) | TGRS Research Map | TGRS