Literature DB >> 29532441

Self-complementary circular codes in coding theory.

Elena Fimmel1, Christian J Michel2, Martin Starman1, Lutz Strüngmann1.   

Abstract

Self-complementary circular codes are involved in pairing genetic processes. A maximal [Formula: see text] self-complementary circular code X of trinucleotides was identified in genes of bacteria, archaea, eukaryotes, plasmids and viruses (Michel in Life 7(20):1-16 2017, J Theor Biol 380:156-177, 2015; Arquès and Michel in J Theor Biol 182:45-58 1996). In this paper, self-complementary circular codes are investigated using the graph theory approach recently formulated in Fimmel et al. (Philos Trans R Soc A 374:20150058, 2016). A directed graph [Formula: see text] associated with any code X mirrors the properties of the code. In the present paper, we demonstrate a necessary condition for the self-complementarity of an arbitrary code X in terms of the graph theory. The same condition has been proven to be sufficient for codes which are circular and of large size [Formula: see text] trinucleotides, in particular for maximal circular codes ([Formula: see text] trinucleotides). For codes of small-size [Formula: see text] trinucleotides, some very rare counterexamples have been constructed. Furthermore, the length and the structure of the longest paths in the graphs associated with the self-complementary circular codes are investigated. It has been proven that the longest paths in such graphs determine the reading frame for the self-complementary circular codes. By applying this result, the reading frame in any arbitrary sequence of trinucleotides is retrieved after at most 15 nucleotides, i.e., 5 consecutive trinucleotides, from the circular code X identified in genes. Thus, an X motif of a length of at least 15 nucleotides in an arbitrary sequence of trinucleotides (not necessarily all of them belonging to X) uniquely defines the reading (correct) frame, an important criterion for analyzing the X motifs in genes in the future.

Entities:  

Keywords:  Genetic code; Graph properties; Reading frame; Self-complementary circular codes; Translation process

Mesh:

Substances:

Year:  2018        PMID: 29532441     DOI: 10.1007/s12064-018-0259-4

Source DB:  PubMed          Journal:  Theory Biosci        ISSN: 1431-7613            Impact factor:   1.919


  16 in total

1.  Circular code motifs in transfer RNAs.

Authors:  Christian J Michel
Journal:  Comput Biol Chem       Date:  2013-03-15       Impact factor: 2.877

2.  Circular code motifs in the ribosome decoding center.

Authors:  Karim El Soufi; Christian J Michel
Journal:  Comput Biol Chem       Date:  2014-08-05       Impact factor: 2.877

3.  Translation framing code and frame-monitoring mechanism as suggested by the analysis of mRNA and 16 S rRNA nucleotide sequences.

Authors:  E N Trifonov
Journal:  J Mol Biol       Date:  1987-04-20       Impact factor: 5.469

4.  Circular code motifs in genomes of eukaryotes.

Authors:  Karim El Soufi; Christian J Michel
Journal:  J Theor Biol       Date:  2016-07-19       Impact factor: 2.691

5.  Method to determine the reading frame of a protein from the purine/pyrimidine genome sequence and its possible evolutionary justification.

Authors:  J C Shepherd
Journal:  Proc Natl Acad Sci U S A       Date:  1981-03       Impact factor: 11.205

6.  The hypercycle. A principle of natural self-organization. Part A: Emergence of the hypercycle.

Authors:  M Eigen; P Schuster
Journal:  Naturwissenschaften       Date:  1977-11

7.  Circular code motifs in transfer and 16S ribosomal RNAs: a possible translation code in genes.

Authors:  Christian J Michel
Journal:  Comput Biol Chem       Date:  2011-10-11       Impact factor: 2.877

8.  n-Nucleotide circular codes in graph theory.

Authors:  Elena Fimmel; Christian J Michel; Lutz Strüngmann
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2016-03-13       Impact factor: 4.226

9.  A complementary circular code in the protein coding genes.

Authors:  D G Arquès; C J Michel
Journal:  J Theor Biol       Date:  1996-09-07       Impact factor: 2.691

10.  Strong Comma-Free Codes in Genetic Information.

Authors:  Elena Fimmel; Christian J Michel; Lutz Strüngmann
Journal:  Bull Math Biol       Date:  2017-06-22       Impact factor: 1.758

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  3 in total

1.  Pentamers with Non-redundant Frames: Bias for Natural Circular Code Codons.

Authors:  Jacques Demongeot; Hervé Seligmann
Journal:  J Mol Evol       Date:  2020-01-07       Impact factor: 2.395

2.  Equivalence classes of circular codes induced by permutation groups.

Authors:  Fariba Fayazi; Elena Fimmel; Lutz Strüngmann
Journal:  Theory Biosci       Date:  2021-02-01       Impact factor: 1.919

3.  Circular Tessera Codes in the Evolution of the Genetic Code.

Authors:  Elena Fimmel; Martin Starman; Lutz Strüngmann
Journal:  Bull Math Biol       Date:  2020-04-04       Impact factor: 1.758

  3 in total

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