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Real networks from 1,181bacterial species
The percolation of metabolism and bacterial
lifestyle and evolvability Germán Plata, PhD & Dennis Vitkup, PhD
Department of Systems Biology, Columbia University Medical Center, New York, NY 10032, [email protected]
Defining metabolic network connectivity
Conclusions
Impact on genome architecture
Can metabolic network diversity across bacteria be seenas a percolation process? If so, what are its consequencesfor microbial physiology, ecology and evolution?
A percolation transition in metabolism
Species interactions and evolvability
Percolation in random networks
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• Metabolic networks were defined based on the abilityof mass (carbon) to flow between metabolites (right)
• 1,181 networks were obtained from Kbase, each from adifferent bacterial genus
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rgest com
ponent
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Critical threshold at ~900 reactions or ~2,000 genes
Less fastidious1More free-living2
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Info
rma
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Total genes
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model reactions:
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tab
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ge
ne
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Total genes
Moving average
Piecewise linear fit
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ge
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s
Total genes
Moving average
Piecewise linear fit
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s
Total genes
Moving average
Piecewise linear fit
Condition-specific genes are lost more rapidly withdecreasing genome size below percolation threshold
How likely is one species to benefit from metabolic by-products of another?
How many additional reactions are needed to grow on anew carbon source?
More evolvable
Random networks, same
probability per reaction.
Optimal networks, least
number of reactions per carbonsource supporting growth.
Bacterial evolution avoids metabolic networks that arelarge and disconnected or small and connected.
• Differences in the connectivity of bacterial metabolicnetworks can be described as a percolation process
• Species with less than ~2,000 genes tend to be morefastidious, less easily evolvable, and less likely to cross-feed with a randomly chosen bacterium
• Differences are explained by metabolite interconversionssupported by the giant component present in largermetabolic networks
1. Known growth media: komodo.modelseed.org 2. Lifestyle classification: Burstein et al. 2015. Nat Commun. 6, 8493 Funding: National Institute of General Medical Sciences GM079759 to DV
Species 1 Species 2
A percolation process describes the changes in theconnectivity of a network as nodes or edges are removed
Each dot represents the metabolicnetwork of a different bacterium
Percolation threshold How many carbon sourcessupport growth?
Arrows indicate percolationthresholds
Obligate parasitic or symbiotic lifestyles are commonbelow the percolation threshold
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