ArticleBiology direct2013
Interaction-based evolution: how natural selection and nonrandom mutation work together.
Article in Biology direct, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed.
- De novo rates of aProceedings of the National Academy of Sciences of the United States of America · 2025Article
- Self-replicating artificial neural networks give rise to universal evolutionary dynamics.PLoS computational biology · 2024Article
- Evolutionary honing in and mutational replacement: how long-term directed mutational responses to specific environmental pressures are possible.Theory in biosciences = Theorie in den Biowissenschaften · 2023Review
- Genes that are Used Together are More Likely to be Fused Together in Evolution by Mutational Mechanisms: A Bioinformatic Test of the Used-Fused Hypothesis.Evolutionary biology · 2023Article
- Chromosome-level genome assembly of Asian yellow pond turtle (Mauremys mutica) with temperature-dependent sex determination system.Scientific reports · 2022Article
- De novo mutation rates at the single-mutation resolution in a humanGenome research · 2022Article
- Pregnancy Induces an Immunological Memory Characterized by Maternal Immune Alterations Through Specific Genes Methylation.Frontiers in immunology · 2021Article
- The power of randomization by sex in multilocus genetic evolution.Biology direct · 2020Article
- Quantum aspects of evolution: a contribution towards evolutionary explorations of genotype networks via quantum walks.Journal of the Royal Society, Interface · 2020Article
- Postzygotic Somatic Mutations in the Human Brain Expand the Threshold-Liability Model of Schizophrenia.Frontiers in psychiatry · 2020Review
- Linking gut microbiota with the human diseases.Bioinformation · 2020Article
- The Influence of (5'Cells · 2019Article
- How evolution learns to generalise: Using the principles of learning theory to understand the evolution of developmental organisation.PLoS computational biology · 2017Article
- Simplification, Innateness, and the Absorption of Meaning from Context: How Novelty Arises from Gradual Network Evolution.Evolutionary biology · 2017Article
- Public health evolutionary biology of antimicrobial resistance: priorities for intervention.Evolutionary applications · 2015Article
- Algorithms, complexity, and the sciences.Proceedings of the National Academy of Sciences of the United States of America · 2014Article
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Abstract
backgroundThe modern evolutionary synthesis leaves unresolved some of the most fundamental, long-standing questions in evolutionary biology: What is the role of sex in evolution? How does complex adaptation evolve? How can selection operate effectively on genetic interactions? More recently, the molecular biology and genomics revolutions have raised a host of critical new questions, through empirical findings that the modern synthesis fails to explain: for example, the discovery of de novo genes; the immense constructive role of transposable elements in evolution; genetic variance and biochemical activity that go far beyond what traditional natural selection can maintain; perplexing cases of molecular parallelism; and more. PRESENTATION OF THE HYPOTHESIS: Here I address these questions from a unified perspective, by means of a new mechanistic view of evolution that offers a novel connection between selection on the phenotype and genetic evolutionary change (while relying, like the traditional theory, on natural selection as the only source of feedback on the fit between an organism and its environment). I hypothesize that the mutation that is of relevance for the evolution of complex adaptation-while not Lamarckian, or "directed" to increase fitness-is not random, but is instead the outcome of a complex and continually evolving biological process that combines information from multiple loci into one. This allows selection on a fleeting combination of interacting alleles at different loci to have a hereditary effect according to the combination's fitness. TESTING AND IMPLICATIONS OF THE HYPOTHESIS: This proposed mechanism addresses the problem of how beneficial genetic interactions can evolve under selection, and also offers an intuitive explanation for the role of sex in evolution, which focuses on sex as the generator of genetic combinations. Importantly, it also implies that genetic variation that has appeared neutral through the lens of traditional theory can actually experience selection on interactions and thus has a much greater adaptive potential than previously considered. Empirical evidence for the proposed mechanism from both molecular evolution and evolution at the organismal level is discussed, and multiple predictions are offered by which it may be tested. REVIEWERS: This article was reviewed by Nigel Goldenfeld (nominated by Eugene V. Koonin), Jürgen Brosius and W. Ford Doolittle.
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