ReviewTheory in biosciences = Theorie in den Biowissenschaften2011
Mathematical modeling of evolution. Solved and open problems.
Review in Theory in biosciences = Theorie in den Biowissenschaften, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
18 citing papers in PubMed.
- Article
- RNA life on the edge of catastrophe.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- The contribution of evolvability to the eco-evolutionary dynamics of competing species.Ecology and evolution · 2023Article
- Self-empowerment of life through RNA networks, cells and viruses.F1000Research · 2023Review
- Evolutionary Pathways and Trajectories in Antibiotic Resistance.Clinical microbiology reviews · 2021Article
- Social Networking of Quasi-Species Consortia drive Virolution via Persistence.AIMS microbiology · 2021Review
- Self-organization and information in biosystems: a case study.European biophysics journal : EBJ · 2018Article
- Some mechanistic requirements for major transitions.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2016Article
- Genetic Correlations Greatly Increase Mutational Robustness and Can Both Reduce and Enhance Evolvability.PLoS computational biology · 2016Article
- Synthetic biology: Six pack and stack.Nature chemistry · 2015Article
- Molecular crowding and early evolution.Origins of life and evolution of the biosphere : the journal of the International Society for the Study of the Origin of Life · 2014Article
- Variability in mutational fitness effects prevents full lethal transitions in large quasispecies populations.Scientific reports · 2014Article
- Comprehensive experimental fitness landscape and evolutionary network for small RNA.Proceedings of the National Academy of Sciences of the United States of America · 2013Article
- Quantifying the similarity of monotonic trajectories in rough and smooth fitness landscapes.Molecular bioSystems · 2013Article
- Cancer quasispecies and stem-like adaptive aneuploidy.F1000Research · 2013Article
- Should autism be considered a canary bird telling that Homo sapiens may be on its way to extinction?Microbial ecology in health and disease · 2012Article
- Emerging modelling methodologies in medicine and biology, Introduction to the special issue.Theory in biosciences = Theorie in den Biowissenschaften · 2011Article
- The relationship between the error catastrophe, survival of the flattest, and natural selection.BMC evolutionary biology · 2011Article
Corrections and comments
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Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Evolution is a highly complex multilevel process and mathematical modeling of evolutionary phenomenon requires proper abstraction and radical reduction to essential features. Examples are natural selection, Mendel's laws of inheritance, optimization by mutation and selection, and neutral evolution. An attempt is made to describe the roots of evolutionary theory in mathematical terms. Evolution can be studied in vitro outside cells with polynucleotide molecules. Replication and mutation are visualized as chemical reactions that can be resolved, analyzed, and modeled at the molecular level, and straightforward extension eventually results in a theory of evolution based upon biochemical kinetics. Error propagation in replication commonly results in an error threshold that provides an upper bound for mutation rates. Appearance and sharpness of the error threshold depend on the fitness landscape, being the distribution of fitness values in genotype or sequence space. In molecular terms, fitness landscapes are the results of two consecutive mappings from sequences into structures and from structures into the (nonnegative) real numbers. Some properties of genotype-phenotype maps are illustrated well by means of sequence-structure relations of RNA molecules. Neutrality in the sense that many RNA sequences form the same (coarse grained) structure is one of these properties, and characteristic for such mappings. Evolution cannot be fully understood without considering fluctuations--each mutant originates form a single copy, after all. The existence of neutral sets of genotypes called neutral networks, in particular, necessitates stochastic modeling, which is introduced here by simulation of molecular evolution in a kind of flowreactor.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.