Literature DB >> 12468095

Wide intra-genomic G+C heterogeneity in human and chicken is mainly due to strand-symmetric directional mutation pressures: dGTP-oxidation and symmetric cytosine-deamination hypotheses.

Noboru Sueoka1.   

Abstract

The intra-strand Parity Rule 2 of DNA (PR2) states that A=T and G=C within each strands. Useful corollaries of PR2 are G/(G+C)=A/(A+T)=0.5, G/(G+A)=C/(C+T)=G+C, G/(G+T)=C/(C+A)=G+C. Here. A, T, G, and C represent relative contents of the four nucleotide residues in a specific strand of DNA, so that A+T+G+C=1. Thus, deviations from the PR2 is a sign of strand-specific (or asymmetric) mutation and/or selection pressures. The present study delineates the symmetric and asymmetric effects of mutations on the intra-genomic heterogeneity of the G+C content in the human genome. The results of this study on the human genome are: (1) When both two- and four-codon amino acids were combined, only slight departures from the PR2 were observed in the total ranges of G+C content of the third-codon position. Thus, the G+C heterogeneity is likely to be caused by symmetric mutagenesis between the two strands. (2) The above result makes the deamination of cytosine due to double-strand breathing of DNA [Mol. Biol. Evol. 17 (2000) 1371] and/or incorporation of the oxidized guanine (8-oxo-guanine) opposite adenine during DNA replication (dGTP-oxidation hypothesis) as the most likely candidates for the major cause of the diversities of the G+C content. (3) Patterns of amino acid-specific PR2-biases detected by plotting PR2 corollaries against the G+C content of third codon position revealed that eight four-codon amino acids can be divided into three types by the second codon letter: (a) C(2)-type (Ala, Pro, Ser4, and Thr), (b) G(2)-type (Arg4 and Gly), and (c) T(2)-type (Leu4 and Val). (4) Most of the asymmetric plot patterns of the above three classes in PR2 biases can be explained by C(2)-->T(2) deamination of C(2)pG(3) of C(2)-type to T(2)pG(3) (T(2)-type) in both human and chicken. This explains the existence of some preferred codons in human and chicken. However, these biases (asymmetric) hardly contribute to the overall G+C content diversity of the third codon position.

Entities:  

Mesh:

Substances:

Year:  2002        PMID: 12468095     DOI: 10.1016/s0378-1119(02)01046-6

Source DB:  PubMed          Journal:  Gene        ISSN: 0378-1119            Impact factor:   3.688


  10 in total

1.  A plot of G + C content against sequence length of 640 bacterial chromosomes shows the points are widely scattered in the upper triangular area.

Authors:  Feng-Biao Guo; Hao Lin; Jian Huang
Journal:  Chromosome Res       Date:  2009-03-13       Impact factor: 5.239

2.  DNA replication origins in the Schizosaccharomyces pombe genome.

Authors:  Jianli Dai; Ray-Yuan Chuang; Thomas J Kelly
Journal:  Proc Natl Acad Sci U S A       Date:  2004-12-28       Impact factor: 11.205

3.  Genomic and proteomic adaptations to growth at high temperature.

Authors:  Donal A Hickey; Gregory A C Singer
Journal:  Genome Biol       Date:  2004-09-30       Impact factor: 13.583

4.  CodonExplorer: an online tool for analyzing codon usage and sequence composition, scaling from genes to genomes.

Authors:  Micah Hamady; Stephanie A Wilson; Jesse Zaneveld; Noboru Sueoka; Rob Knight
Journal:  Bioinformatics       Date:  2009-03-11       Impact factor: 6.937

5.  Using the nucleotide substitution rate matrix to detect horizontal gene transfer.

Authors:  Micah Hamady; M D Betterton; Rob Knight
Journal:  BMC Bioinformatics       Date:  2006-10-26       Impact factor: 3.169

6.  Study of completed archaeal genomes and proteomes: hypothesis of strong mutational AT pressure existed in their common predecessor.

Authors:  Vladislav V Khrustalev; Eugene V Barkovsky
Journal:  Genomics Proteomics Bioinformatics       Date:  2010-03       Impact factor: 7.691

7.  System analysis of synonymous codon usage biases in archaeal virus genomes.

Authors:  Sen Li; Jie Yang
Journal:  J Theor Biol       Date:  2014-03-28       Impact factor: 2.691

8.  Comparison of methods for estimating the nucleotide substitution matrix.

Authors:  Maribeth Oscamou; Daniel McDonald; Von Bing Yap; Gavin A Huttley; Manuel E Lladser; Rob Knight
Journal:  BMC Bioinformatics       Date:  2008-12-01       Impact factor: 3.169

9.  Physicochemical Foundations of Life that Direct Evolution: Chance and Natural Selection are not Evolutionary Driving Forces.

Authors:  Didier Auboeuf
Journal:  Life (Basel)       Date:  2020-01-21

10.  CodonExplorer: an interactive online database for the analysis of codon usage and sequence composition.

Authors:  Jesse Zaneveld; Micah Hamady; Noboru Sueoka; Rob Knight
Journal:  Methods Mol Biol       Date:  2009
  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.