Principles of metabolome conservation in animals
Orsolya Liska1,2,3, Gábor Boross2,4, Charles Rocabert2,5,6,7
1Hungarian Centre of Excellence for Molecular Medicine - Biological Research Centre Metabolic Systems Biology Lab, 6728 Szeged, Hungary.
Summary
Metabolite levels evolve predictably, with abundance, essentiality, and disease links guiding conservation across species. Evolutionary data can identify metabolic disease biomarkers.
Area of Science:
- Evolutionary biology
- Metabolomics
- Systems biology
Background:
- Metabolite levels influence cellular functions and disease risk.
- Principles of metabolome evolution are not well understood.
Purpose of the Study:
- To investigate the evolutionary conservation of metabolite levels across species.
- To identify factors predicting metabolite conservation.
- To explore the utility of evolutionary conservation for biomarker discovery.
Main Methods:
- Developed a measure for metabolite level conservation.
- Analyzed multispecies tissue metabolome datasets from mammals and fruit flies.
- Performed metabolic network simulations.
Main Results:
- Metabolite conservation varies significantly across different metabolites.
- Metabolite abundance, essentiality, and links to human diseases predict conservation.
- Abundant metabolites are highly conserved due to strong coupling with metabolic fluxes.
- Evolutionary conservation can distinguish metabolic disease biomarkers.
Conclusions:
- Identified key rules governing metabolic evolution in animals.
- Suggests most interspecies metabolome differences are selectively neutral.
- Evolutionary information can aid in biomarker identification and detecting pathogenic metabolic alterations.
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