ArticleGenetics2010
The evolution of control and distribution of adaptive mutations in a metabolic pathway.
Article in Genetics, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.
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Who cites it
39 citing papers in PubMed.
- PEMPS: a phylogenetic software tool to model the evolution of metabolic pathways.BMC bioinformatics · 2024Article
- Genome-wide association mapping within a localPhilosophical transactions of the Royal Society of London. Series B, Biological sciences · 2022Article
- Transcription Factors Evolve Faster Than Their Structural Gene Targets in the Flavonoid Pigment Pathway.Molecular biology and evolution · 2022Article
- Article
- Structure and contingency determine mutational hotspots for flower color evolution.Evolution letters · 2021Article
- Contrasting Patterns of Rapid Molecular Evolution within the p53 Network across Mammal and Sauropsid Lineages.Genome biology and evolution · 2019Article
- Hierarchical and Dynamic Regulation of Defense-Responsive Specialized Metabolism by WRKY and MYB Transcription Factors.Frontiers in plant science · 2019Article
- Metabolic Determinants of Enzyme Evolution in a Genome-Scale Bacterial Metabolic Network.Genome biology and evolution · 2018Article
- Repeated Cis-Regulatory Tuning of a Metabolic Bottleneck Gene during Evolution.Molecular biology and evolution · 2018Article
- Adaptive molecular evolution ofEcology and evolution · 2017Article
- Characterizing the roles of changing population size and selection on the evolution of flux control in metabolic pathways.BMC evolutionary biology · 2017Article
- New views on the selection acting on genetic polymorphism in central metabolic genes.Annals of the New York Academy of Sciences · 2017Review
- Structuring evolution: biochemical networks and metabolic diversification in birds.BMC evolutionary biology · 2016Article
- Divergence along the gonadal steroidogenic pathway: Implications for hormone-mediated phenotypic evolution.Hormones and behavior · 2016Article
- Gonads and the evolution of hormonal phenotypes.Integrative and comparative biology · 2016Article
- Selection on metabolic pathway function in the presence of mutation-selection-drift balance leads to rate-limiting steps that are not evolutionarily stable.Biology direct · 2016Article
- Flux Control in Glycolysis Varies Across the Tree of Life.Journal of molecular evolution · 2016Article
- Evolutionary patterns of Toll-like receptor signaling pathway genes in the Suidae.BMC evolutionary biology · 2016Article
- Genetic Variation of Goat Interferon Regulatory Factor 3 Gene and Its Implication in Goat Evolution.PloS one · 2016Article
- Positive Selection and Centrality in the Yeast and Fly Protein-Protein Interaction Networks.BioMed research international · 2016Article
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2 authors.
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No grant is acknowledged in the PubMed record.
Abstract
In an attempt to understand whether it should be expected that some genes tend to be used disproportionately often by natural selection, we investigated two related phenomena: the evolution of flux control among enzymes in a metabolic pathway and properties of adaptive substitutions in pathway enzymes. These two phenomena are related by the principle that adaptive substitutions should occur more frequently in enzymes with greater flux control. Predicting which enzymes will be preferentially involved in adaptive evolution thus requires an evolutionary theory of flux control. We investigated the evolution of enzyme control in metabolic pathways with two models of enzyme kinetics: metabolic control theory (MCT) and Michaelis-Menten saturation kinetics (SK). Our models generate two main predictions for pathways in which reactions are moderately to highly irreversible: (1) flux control will evolve to be highly unequal among enzymes in a pathway and (2) upstream enzymes evolve a greater control coefficient then those downstream. This results in upstream enzymes fixing the majority of beneficial mutations during adaptive evolution. Once the population has reached high fitness, the trend is reversed, with the majority of neutral/slightly deleterious mutations occurring in downstream enzymes. These patterns are the result of three factors (the first of these is unique to the MCT simulations while the other two seem to be general properties of the metabolic pathways): (1) the majority of randomly selected, starting combinations of enzyme kinetic rates generate pathways that possess greater control for the upstream enzymes compared to downstream enzymes; (2) selection against large pools of intermediate substrates tends to prevent majority control by downstream enzymes; and (3) equivalent mutations in enzyme kinetic rates have the greatest effect on flux for enzymes with high levels of flux control, and these enzymes will accumulate adaptive substitutions, strengthening their control. Prediction 1 is well supported by available data on control coefficients. Data for evaluating prediction 2 are sparse but not inconsistent with this prediction.
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