Literature DB >> 20658335

Codon populations in single-stranded whole human genome DNA Are fractal and fine-tuned by the Golden Ratio 1.618.

Jean-Claude Perez1.   

Abstract

This new bioinformatics research bridges Genomics and Mathematics. We propose a universal "Fractal Genome Code Law": The frequency of each of the 64 codons across the entire human genome is controlled by the codon's position in the Universal Genetic Code table. We analyze the frequency of distribution of the 64 codons (codon usage) within single-stranded DNA sequences. Concatenating 24 Human chromosomes, we show that the entire human genome employs the well known universal genetic code table as a macro structural model. The position of each codon within this table precisely dictates its population. So the Universal Genetic Code Table not only maps codons to amino acids, but serves as a global checksum matrix. Frequencies of the 64 codons in the whole human genome scale are a self-similar fractal expansion of the universal genetic code. The original genetic code kernel governs not only the micro scale but the macro scale as well. Particularly, the 6 folding steps of codon populations modeled by the binary divisions of the "Dragon fractal paper folding curve" show evidence of 2 attractors. The numerical relationship between the attractors is derived from the Golden Ratio. We demonstrate that: (i) The whole Human Genome Structure uses the Universal Genetic Code Table as a tuning model. It predetermines global codons proportions and populations. The Universal Genetic Code Table governs both micro and macro behavior of the genome. (ii) We extend the Chargaff's second rule from the domain of single TCAG nucleotides to the larger domain of codon triplets. (iii) Codon frequencies in the human genome are clustered around 2 fractal-like attractors, strongly linked to the golden ratio 1.618.

Entities:  

Mesh:

Substances:

Year:  2010        PMID: 20658335     DOI: 10.1007/s12539-010-0022-0

Source DB:  PubMed          Journal:  Interdiscip Sci        ISSN: 1867-1462            Impact factor:   2.233


  3 in total

1.  Characteristics and prediction of RNA structure.

Authors:  Hengwu Li; Daming Zhu; Caiming Zhang; Huijian Han; Keith A Crandall
Journal:  Biomed Res Int       Date:  2014-07-06       Impact factor: 3.411

2.  Maximal Segmental Score Method for Localizing Recessive Disease Variants Based on Sequence Data.

Authors:  Ai-Ru Hsieh; Jia Jyun Sie; Chien Ching Chang; Jurg Ott; Ie-Bin Lian; Cathy S J Fann
Journal:  Front Genet       Date:  2020-06-12       Impact factor: 4.599

3.  Is the golden ratio a universal constant for self-replication?

Authors:  Yu Liu; David J T Sumpter
Journal:  PLoS One       Date:  2018-07-16       Impact factor: 3.240

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.