Understanding flux switching in metabolic networks through an analysis of synthetic lethals

Biological systems are robust and redundant. The redundancy can manifest as alternative metabolic pathways. Synthetic double lethals are pairs of reactions that, when deleted simultaneously, abrogate cell growth. However, removing one reaction allows the rerouting of metabolites through alternative pathways. Little is known about these hidden linkages between pathways. Understanding them in the context of pathogens is useful for therapeutic innovations. We propose a constraint-based optimisation approach to identify inter-dependencies between metabolic pathways. It minimises rerouting between two reaction deletions, corresponding to a synthetic lethal pair, and outputs the set of reactions vital for metabolic rewiring, known as the synthetic lethal cluster. We depict the results for different pathogens and show that the reactions span across metabolic modules, illustrating the complexity of metabolism. Finally, we demonstrate how the two classes of synthetic lethals play a role in metabolic networks and influence the different properties of a synthetic lethal cluster.

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Publication Details

Journal
npj Systems Biology and Applications
Published
2024-09-17
DOI
https://doi.org/10.1038/s41540-024-00426-5
Citations
4
Primary Topic
Microbial Metabolic Engineering and Bioproduction
Type
article
Field-Weighted Citation Impact
0.94
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article

Understanding flux switching in metabolic networks through an analysis of synthetic lethals

Karthik Raman, Tanisha Malpani, Omkar S. Mohite, Sowmya Manojna Narasimha et al.
4 citations
npj Systems Biology and Applications
Microbial Metabolic Engineering and Bioproduction
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article

Understanding flux switching in metabolic networks through an analysis of synthetic lethals

Karthik Raman, Tanisha Malpani, Omkar S. Mohite, Sowmya Manojna Narasimha, J. Saketha Nath
article en
4 citations

Abstract

Biological systems are robust and redundant. The redundancy can manifest as alternative metabolic pathways. Synthetic double lethals are pairs of reactions that, when deleted simultaneously, abrogate cell growth. However, removing one reaction allows the rerouting of metabolites through alternative pathways. Little is known about these hidden linkages between pathways. Understanding them in the context of pathogens is useful for therapeutic innovations. We propose a constraint-based optimisation approach to identify inter-dependencies between metabolic pathways. It minimises rerouting between two reaction deletions, corresponding to a synthetic lethal pair, and outputs the set of reactions vital for metabolic rewiring, known as the synthetic lethal cluster. We depict the results for different pathogens and show that the reactions span across metabolic modules, illustrating the complexity of metabolism. Finally, we demonstrate how the two classes of synthetic lethals play a role in metabolic networks and influence the different properties of a synthetic lethal cluster.

npj Systems Biology and ApplicationsVol. 10(1)
University of San Diego (US), Indian Institute of Technology Madras (IN), Novo Nordisk Foundation (DK), University of California San Diego (US), Indian Institute of Technology Hyderabad (IN), Technical University of Denmark (DK)
Openalex Percentile: Top 25%
Microbial Metabolic Engineering and Bioproduction
0.94
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