ArticleProceedings of the National Academy of Sciences of the United States of America2014
Spatial interactions and cooperation can change the speed of evolution of complex phenotypes.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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19 citing papers in PubMed, 47 citations in OpenAlex.
- Linking spatial drug heterogeneity to microbial growth dynamics in theory and experiment.PLoS computational biology · 2026Article
- Graph-structured populations elucidate the role of deleterious mutations in long-term evolution.Nature communications · 2025Article
- Linking spatial drug heterogeneity to microbial growth dynamics in theory and experiment.bioRxiv : the preprint server for biology · 2024Article
- Evolutionary graph theory beyond single mutation dynamics: on how network-structured populations cross fitness landscapes.Genetics · 2024Article
- Foraging-induced craniofacial plasticity is associated with an early, robust and dynamic transcriptional response.Proceedings. Biological sciences · 2024Article
- The role of evolutionary game theory in spatial and non-spatial models of the survival of cooperation in cancer: a review.Journal of the Royal Society, Interface · 2022Review
- Universal scaling laws rule explosive growth in human cancers.Nature physics · 2020Article
- A Bacterial Tower of Babel: Quorum-Sensing Signaling Diversity and Its Evolution.Annual review of microbiology · 2020Review
- Article
- Host-microbiome coevolution can promote cooperation in a rock-paper-scissors dynamics.Proceedings. Biological sciences · 2020Article
- The effect of spatial randomness on the average fixation time of mutants.PLoS computational biology · 2017Article
- Homeostasis Back and Forth: An Ecoevolutionary Perspective of Cancer.Cold Spring Harbor perspectives in medicine · 2017Review
- Plant Community Richness Mediates Inhibitory Interactions and Resource Competition between Streptomyces and Fusarium Populations in the Rhizosphere.Microbial ecology · 2017Article
- With a little help from my friends: cooperation can accelerate the rate of adaptive valley crossing.BMC evolutionary biology · 2017Article
- A population genetics perspective on the determinants of intra-tumor heterogeneity.Biochimica et biophysica acta. Reviews on cancer · 2017Review
- Small groups and long memories promote cooperation.Scientific reports · 2016Article
- A spatial model predicts that dispersal and cell turnover limit intratumour heterogeneity.Nature · 2015Article
- Cancer: A moving target.Nature · 2015Article
- In the light of evolution VIII: Darwinian thinking in the social sciences. Introduction.Proceedings of the National Academy of Sciences of the United States of America · 2014Article
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1 author at 1 institution in 1 country.
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Abstract
Complex traits arise from the interactions among multiple gene products. In the case where the complex phenotype is separated from the wild type by a fitness valley or a fitness plateau, the generation of a complex phenotype may take a very long evolutionary time. Interestingly, the rate of evolution depends in nontrivial ways on various properties of the underlying stochastic process, such as the spatial organization of the population and social interactions among cells. Here we review some of our recent work that investigates these phenomena in asexual populations. The role of spatial constraints is quite complex: there are realistic cases where spatial constrains can accelerate or delay evolution, or even influence it in a nonmonotonic fashion, where evolution works fastest for intermediate-range constraints. Social interactions among cells can be studied in the context of the division-of-labor games. Under a range of circumstances, cooperation among cells can lead to a relatively fast creation of a complex phenotype as an emerging (distributed) property. If we further assume the presence of cheaters, we observe the emergence of a fully mutated population of cells possessing the complex phenotype. Applications of these ideas to cancer initiation and biofilm formation in bacteria are discussed.
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