ArticleScientific reports2017
The space of genotypes is a network of networks: implications for evolutionary and extinction dynamics.
Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Constrained Diffusion as a Paradigm for Evolution.bioRxiv : the preprint server for biology · 2026Article
- Getting higher on rugged landscapes: Inversion mutations open access to fitter adaptive peaks in NK fitness landscapes.PLoS computational biology · 2022Article
- A Family of Fitness Landscapes Modeled through Gene Regulatory Networks.Entropy (Basel, Switzerland) · 2022Article
- Bivalent chromatin as a therapeutic target in cancer: An in silico predictive approach for combining epigenetic drugs.PLoS computational biology · 2021Article
- Epistasis between cultural traits causes paradigm shifts in cultural evolution.Royal Society open science · 2020Article
- Taming out-of-equilibrium dynamics on interconnected networks.Nature communications · 2019Article
- Evolutionary Dynamics in the RNA Bacteriophage Qβ Depends on the Pattern of Change in Selective Pressures.Pathogens (Basel, Switzerland) · 2019Article
- On the networked architecture of genotype spaces and its critical effects on molecular evolution.Open biology · 2018Review
Corrections and comments
- Erratum issued
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The forcing that environmental variation exerts on populations causes continuous changes with only two possible evolutionary outcomes: adaptation or extinction. Here we address this topic by studying the transient dynamics of populations on complex fitness landscapes. There are three important features of realistic landscapes of relevance in the evolutionary process: fitness landscapes are rough but correlated, their fitness values depend on the current environment, and many (often most) genotypes do not yield viable phenotypes. We capture these properties by defining time-varying, holey, NK fitness landscapes. We show that the structure of the space of genotypes so generated is that of a network of networks: in a sufficiently holey landscape, populations are temporarily stuck in local networks of genotypes. Sudden jumps to neighbouring networks through narrow adaptive pathways (connector links) are possible, though strong enough local trapping may also cause decays in population growth and eventual extinction. A combination of analytical and numerical techniques to characterize complex networks and population dynamics on such networks permits to derive several quantitative relationships between the topology of the space of genotypes and the fate of evolving populations.
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