• Corpus ID: 8909802

Evolving Boolean Networks with RNA Editing

@article{Bull2015EvolvingBN,
  title={Evolving Boolean Networks with RNA Editing},
  author={Larry Bull},
  journal={ArXiv},
  year={2015},
  volume={abs/1505.01980}
}
  • L. Bull
  • Published 8 May 2015
  • Biology
  • ArXiv
The editing of transcribed RNA by other molecules such that the form of the final product differs from that specified in the corresponding DNA sequence is ubiquitous. This paper uses an abstract, tunable Boolean genetic regulatory network model to explore aspects of RNA editing. In particular, it is shown how dynamically altering expressed sequences via a guide RNA-inspired mechanism can be selected for by simulated evolution under various single and multicellular scenarios. 

Figures from this paper

References

SHOWING 1-10 OF 20 REFERENCES

Evolving Functional and Structural Dynamism in Coupled Boolean Networks

  • L. Bull
  • Computer Science
    Artificial Life
  • 2014
This article shows how dynamically controlling network node connectivity and function via transposon-inspired mechanisms can be selected for to significant degrees under coupled regulatory network scenarios, including when such changes are heritable.

Evolutionary origin of RNA editing.

The model posits that the biochemical elements of an RNA editing system must be in place before there is an actual need for editing, and that RNA editing systems are inherently mutagenic because they allow potentially deleterious or lethal mutations to persist at the genome level, whereas they would otherwise be purged by purifying selection.

Evolving Boolean Networks on Tunable Fitness Landscapes

  • L. Bull
  • Computer Science
    IEEE Transactions on Evolutionary Computation
  • 2012
An abstract, tunable model by which to explore aspects of artificial genetic regulatory networks and their design by simulated evolution by combining the random Boolean network formalism with the NK and NKCS models of fitness landscapes.

Model for codon position bias in RNA editing.

An evolutionary model is proposed that explains the codon position bias in Physarum is mainly a consequence of selection at the protein level and predicts a distribution of the three positions rather close to the experimental observation inphysarum.

Agent-Based Model of Genotype Editing

It is shown that the biologically-inspired model of genotype editing can be used to both facilitate understanding of the evolutionary role of RNA regulation based on genotypes editing in biology, and advance the current state of research in Evolutionary Computation.

Network biology: understanding the cell's functional organization

This work states that rapid advances in network biology indicate that cellular networks are governed by universal laws and offer a new conceptual framework that could potentially revolutionize the view of biology and disease pathologies in the twenty-first century.

Contextual Genetic Algorithms: Evolving Developmental Rules

A genetic algorithm scheme with a stochastic genotype/phenotype relation is proposed, with good scaling and evolutionary properties, in which phenotypes are represented by mathematical structures based on fuzzy set and evidence theories.

Metabolic stability and epigenesis in randomly constructed genetic nets.

An Exonic Genetic Algorithm with RNA Editing Inspired Repair Function for the Multiple Knapsack Problem

A simple genetic algorithm is suggested that produces competitive results without the use of instance specific value-weight ratios of individual items.

Regulation of serotonin-2C receptor G-protein coupling by RNA editing

Observations indicate that RNA editing is a new mechanism for regulating serotonergic signal transduction and suggest that this post-transcriptional modification may be critical for modulating the different cellular functions that are mediated by other members of the G-protein-coupled receptor superfamily.