Optimizing microbial networks through metabolic bypasses

Enrico Orsi*, Nico J. Claassens, Pablo I. Nikel, Steffen N. Lindner*

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

12 Citations (Scopus)

Abstract

Metabolism has long been considered as a relatively stiff set of biochemical reactions. This somewhat outdated and dogmatic view has been challenged over the last years, as multiple studies exposed unprecedented plasticity of metabolism by exploring rational and evolutionary modifications within the metabolic network of cell factories. Of particular importance is the emergence of metabolic bypasses, which consist of enzymatic reaction(s) that support unnatural connections between metabolic nodes. Such novel topologies can be generated through the introduction of heterologous enzymes or by upregulating native enzymes (sometimes relying on promiscuous activities thereof). Altogether, the adoption of bypasses resulted in an expansion in the capacity of the host's metabolic network, which can be harnessed for bioproduction. In this review, we discuss modifications to the canonical architecture of central carbon metabolism derived from such bypasses towards six optimization purposes: stoichiometric gain, overcoming kinetic limitations, solving thermodynamic barriers, circumventing toxic intermediates, uncoupling product synthesis from biomass formation, and altering redox cofactor specificity. The metabolic costs associated with bypass-implementation are likewise discussed, including tailoring their design towards improving bioproduction.

Original languageEnglish
Pages (from-to)108035
JournalBiotechnology Advances
Volume60
DOIs
Publication statusPublished - Nov 2022

Keywords

  • Bottlenecks
  • Bypass
  • Cell factories
  • Evolution
  • Growth-coupled selection
  • Metabolic networks
  • Metabolic nodes

Fingerprint

Dive into the research topics of 'Optimizing microbial networks through metabolic bypasses'. Together they form a unique fingerprint.

Cite this