ArticlePLoS computational biology2015
Exhaustive Analysis of a Genotype Space Comprising 10(15 )Central Carbon Metabolisms Reveals an Organization Conducive to Metabolic Innovation.
Article in PLoS computational biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
9 citing papers in PubMed.
- The Macroevolutionary Consequences of Niche Construction in Microbial Metabolism.Frontiers in microbiology · 2021Article
- Metabolic Determinants of Enzyme Evolution in a Genome-Scale Bacterial Metabolic Network.Genome biology and evolution · 2018Article
- On the networked architecture of genotype spaces and its critical effects on molecular evolution.Open biology · 2018Review
- Adding levels of complexity enhances robustness and evolvability in a multilevel genotype-phenotype map.Journal of the Royal Society, Interface · 2018Article
- Information theory, evolutionary innovations and evolvability.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2017Article
- Constraint and Contingency Pervade the Emergence of Novel Phenotypes in Complex Metabolic Systems.Biophysical journal · 2017Article
- The genotype-phenotype map of an evolving digital organism.PLoS computational biology · 2017Article
- The potential for non-adaptive origins of evolutionary innovations in central carbon metabolism.BMC systems biology · 2016Article
- Phenotypic innovation through recombination in genome-scale metabolic networks.Proceedings. Biological sciences · 2016Article
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
All biological evolution takes place in a space of possible genotypes and their phenotypes. The structure of this space defines the evolutionary potential and limitations of an evolving system. Metabolism is one of the most ancient and fundamental evolving systems, sustaining life by extracting energy from extracellular nutrients. Here we study metabolism's potential for innovation by analyzing an exhaustive genotype-phenotype map for a space of 10(15) metabolisms that encodes all possible subsets of 51 reactions in central carbon metabolism. Using flux balance analysis, we predict the viability of these metabolisms on 10 different carbon sources which give rise to 1024 potential metabolic phenotypes. Although viable metabolisms with any one phenotype comprise a tiny fraction of genotype space, their absolute numbers exceed 10(9) for some phenotypes. Metabolisms with any one phenotype typically form a single network of genotypes that extends far or all the way through metabolic genotype space, where any two genotypes can be reached from each other through a series of single reaction changes. The minimal distance of genotype networks associated with different phenotypes is small, such that one can reach metabolisms with novel phenotypes--viable on new carbon sources--through one or few genotypic changes. Exceptions to these principles exist for those metabolisms whose complexity (number of reactions) is close to the minimum needed for viability. Increasing metabolic complexity enhances the potential for both evolutionary conservation and evolutionary innovation.
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