A colorful origin for the genetic code: Information theory, statistical mechanics and the emergence of molecular codes
arXiv:1007.3906 · doi:10.1016/j.plrev.2010.06.002
Abstract
The genetic code maps the sixty-four nucleotide triplets (codons) to twenty amino-acids. While the biochemical details of this code were unraveled long ago, its origin is still obscure. We review information-theoretic approaches to the problem of the code's origin and discuss the results of a recent work that treats the code in terms of an evolving, error-prone information channel. Our model - which utilizes the rate-distortion theory of noisy communication channels - suggests that the genetic code originated as a result of the interplay of the three conflicting evolutionary forces: the needs for diverse amino-acids, for error-tolerance and for minimal cost of resources. The description of the code as an information channel allows us to mathematically identify the fitness of the code and locate its emergence at a second-order phase transition when the mapping of codons to amino-acids becomes nonrandom. The noise in the channel brings about an error-graph, in which edges connect codons that are likely to be confused. The emergence of the code is governed by the topology of the error-graph, which determines the lowest modes of the graph-Laplacian and is related to the map coloring problem.
In press. Keywords: Molecular codes; Origin of the genetic code; Biological information channels; Error-load; Fitness; Rate-distortion theory; Origin of life
References in corpus (13)
- Collective evolution and the genetic code
- Coding limits on the number of transcription factors
- A model for the emergence of the genetic code as a transition in a noisy information channel
- High fidelity of RecA-catalyzed recombination: a watchdog of genetic diversity
- Rules for biological regulation based on error minimization
- Protein-DNA computation by stochastic assembly cascade
- A rate-distortion scenario for the emergence and evolution of noisy molecular codes
- Casting Polymer Nets to Optimize Noisy Molecular Codes
- High-Fidelity DNA Sensing by Protein Binding Fluctuations
- A simple model for the evolution of molecular codes driven by the interplay of accuracy, diversity and cost
- Optimal Design of a Molecular Recognizer: Molecular Recognition as a Bayesian Signal Detection Problem
- Molecular Recognition as an Information Channel: The Role of Conformational Changes
- The physical language of molecular codes: A rate-distortion approach to the evolution and emergence of biological codes