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Workflow Based on the Combination of Isotopic Tracer Experiments to Investigate Microbial Metabolism of Multiple Nutrient Sources
Published on: January 22, 2018
From bit to it: how a complex metabolic network transforms information into living matter
1Department of Biochemistry, University of Zurich, Building Y27, Winterthurerstrasse 190, CH-8057 Zurich, Switzerland. aw@bioc.uzh.ch
BMC Systems Biology
|August 1, 2007
Summary
Yeast cells
Area of Science:
- Cellular biology
- Systems biology
- Information theory
Background:
- Organisms rely on environmental information for survival and reproduction.
- Metabolic networks convert nutrients into biomass, influencing cellular fitness.
- Efficient nutrient information processing enhances cell division rates.
Purpose of the Study:
- To investigate the relationship between information accuracy and cellular fitness in yeast.
- To determine the theoretical limits of information processing in microbial growth.
Main Methods:
- Metabolic Flux Balance Analysis (FBA).
- Information-theoretic calculations (bits).
- Analysis of biomass yield and cell division rate as fitness indicators.
Main Results:
- Yeast's ability to sense nutrient availability correlates logarithmically with fitness.
- High accuracy (over 22 bits) is required for optimal growth, which may be practically unattainable.
- Natural selection might be limited in maximizing cellular information processing.
Conclusions:
- Metabolic network analysis offers a quantitative, information-theoretic view of cellular biology.
- Fundamental limits may exist for natural selection in optimizing cellular information processing.
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