Cooperation and Competition in the Evolution of ATP-Producing Pathways

By T. Pfeiffer, Stefan Schuster, Sebastian Bonhoeffer. Science, 2001

1,341 citations recorded by the source corpus.

Subfields: Cell Biology, Genetics, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/e2d5247a19af24cbfb660a6b2efb5a33bdca2759

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Citations in the corpus

The trade-off between growth rate and yield in microbial communities and the consequences for under-snow soil respiration in a high elevation coniferous forest (2009, background): “For microbes, the cooperative, slow, efficient growth strategy is more successful in spatially structured environments such as biofilms (Kreft 2004; Kreft and Bonhoeffer 2005; MacLean and Gudelj 2006; Pfeiffer et al. 2001).”
Metabolic network structure determines key aspects of functionality and regulation (2002, background): “This is, for example, supported by evidence from the evolution of energy transductio”
The road to everywhere : Evolution, complexity and progress in natural and artificial systems (2008, background): “Even then, things are not quite clear-cut: the fermenters’ higher rate of consumption may actually allow them to overcome respirators in certain situations of direct topical competition [141].”
The biology of cancer: metabolic reprogramming fuels cell growth and proliferation. (2008, background): “This may be due to the high rate of ATP production during glycolysis compared to oxidative phosphorylation (Pfeiffer et al., 2001).”
OptCom: A Multi-Level Optimization Framework for the Metabolic Modeling and Analysis of Microbial Communities (2012, background): “It is important to note that OptCom can be readily modified to account for the case when one or more organisms show a form of cooperative behavior that benefits the whole population, but comes at the expense of growing at rates slower than the maximum possible [15,53].”
p53 and metabolism (2009, background): “This seems to reflect the observation that although oxidative phosphorylation is a more efficient process (producing 36 molecules of ATP per molecule of glucose, compared with only 2 ATP molecules for glycolysis), glycolysis can produce ATP at a higher rate than oxidative phosphorylatio”
The Social Lives of Microbes (2007, background): “Consequently, individuals that use both respiration and fermentation can produce energy at a higher rate but use the resources less efficiently than individuals that employ respiration only (Pfeiffer et al. 2001).”
Microbial carbon use efficiency: accounting for population, community, and ecosystem-scale controls over the fate of metabolized organic matter (2016, background): “Hypoxia may induce a shift from cellular respiration to generally less efficient fermentation (Pfeiffer et al. 2001; Lipson et al. 2009).”
Tumor glycolysis as a target for cancer therapy: progress and prospects (2013, background): “[27] have postulated that the high-rate but low yield ATP producing pathway (glycolysis) confer selective advantage under competition for shared energy sources, adding an evolutionary significance to glycolysis [28].”
Applications of genome-scale metabolic reconstructions (2009, background): “…topological properties of metabolic networks (such as degree distribution) might be formed as a byproduct of selection for some other phenotypes (such as growth rate), rather than because the topological properties themselves elicit a selective advantage (Pfeiffer et al, 2001; Papp et al, 2009).”
Energy metabolism of cancer: Glycolysis versus oxidative phosphorylation (Review). (2012, background): “Although glycolysis yields less ATP than OXPHOS, the speed of ATP generation in the former is quicker than in the latter, which is suited to the energy demands of rapid proliferation tissues such as cancer and embryonic tissues (11).”
The Warburg Effect: How Does it Benefit Cancer Cells? (2016, background): “Warburg Effect and biosynthesis The Warburg Effect has been proposed to be an adaptation mechanism to support the biosynthetic requirements of uncontrolled proliferation (Figure 2, Key Figure).”
A mechanistic link between cellular trade-offs, gene expression and growth (2015, positive): “Indeed, we see a rate-yield trade-off [45, 46] (Fig.”