Literature DB >> 14985126

Correlations between nucleotide frequencies and amino acid composition in 115 bacterial species.

D Bharanidharan1, G Ramya Bhargavi, Kavitha Uthanumallian, N Gautham.   

Abstract

We studied the correlations between amino acid composition and mononucleotide and dinucleotide frequencies in 115 bacterial genomes of varying G+C content. Observed amino acid frequencies were compared with those expected from the actual mononucleotide and dinucleotide frequencies. Both mononucleotide and dinucleotide frequencies correlate well with the amino acid frequency, with dinucleotide frequencies doing so better. Despite the strong correlations, some of the observed amino acid frequencies, in particular for Arg, Val, Asp, Glu, Ser, and Cys, were consistently different from predicted values in all genomes. We suggest that this variation from predicted values is a consequence of selection pressure at the level of amino acids, while the close correspondence to the predictions in residues such as Thr, Phe, Lys, and Asn arises only from mutation and selection pressure at the level of the nucleic acid sequences.

Entities:  

Mesh:

Substances:

Year:  2004        PMID: 14985126     DOI: 10.1016/j.bbrc.2004.01.129

Source DB:  PubMed          Journal:  Biochem Biophys Res Commun        ISSN: 0006-291X            Impact factor:   3.575


  11 in total

1.  Environments shape the nucleotide composition of genomes.

Authors:  Konrad U Foerstner; Christian von Mering; Sean D Hooper; Peer Bork
Journal:  EMBO Rep       Date:  2005-12       Impact factor: 8.807

2.  The response of amino acid frequencies to directional mutation pressure in mitochondrial genome sequences is related to the physical properties of the amino acids and to the structure of the genetic code.

Authors:  Daniel Urbina; Bin Tang; Paul G Higgs
Journal:  J Mol Evol       Date:  2006-02-13       Impact factor: 2.395

3.  Codon usage analysis of photolyase encoding genes of cyanobacteria inhabiting diverse habitats.

Authors:  Jainendra Pathak; Vinod K Kannaujiya; Shailendra P Singh; Rajeshwar P Sinha
Journal:  3 Biotech       Date:  2017-06-29       Impact factor: 2.406

4.  Modeling compositional dynamics based on GC and purine contents of protein-coding sequences.

Authors:  Zhang Zhang; Jun Yu
Journal:  Biol Direct       Date:  2010-11-08       Impact factor: 4.540

5.  Entropic stabilization of proteins and its proteomic consequences.

Authors:  Igor N Berezovsky; William W Chen; Paul J Choi; Eugene I Shakhnovich
Journal:  PLoS Comput Biol       Date:  2005-09-30       Impact factor: 4.475

6.  Kullback Leibler divergence in complete bacterial and phage genomes.

Authors:  Sajia Akhter; Ramy K Aziz; Mona T Kashef; Eslam S Ibrahim; Barbara Bailey; Robert A Edwards
Journal:  PeerJ       Date:  2017-11-30       Impact factor: 2.984

7.  Identification of conflicting selective effects on highly expressed genes.

Authors:  Paul G Higgs; Weilong Hao; G Brian Golding
Journal:  Evol Bioinform Online       Date:  2007-02-14       Impact factor: 1.625

8.  Molecular mechanisms of adaptation emerging from the physics and evolution of nucleic acids and proteins.

Authors:  Alexander Goncearenco; Bin-Guang Ma; Igor N Berezovsky
Journal:  Nucleic Acids Res       Date:  2013-12-25       Impact factor: 16.971

9.  Evolution of complete proteomes: guanine-cytosine pressure, phylogeny and environmental influences blend the proteomic architecture.

Authors:  Wanping Chen; Yanchun Shao; Fusheng Chen
Journal:  BMC Evol Biol       Date:  2013-10-03       Impact factor: 3.260

10.  The fundamental tradeoff in genomes and proteomes of prokaryotes established by the genetic code, codon entropy, and physics of nucleic acids and proteins.

Authors:  Alexander Goncearenco; Igor N Berezovsky
Journal:  Biol Direct       Date:  2014-12-12       Impact factor: 4.540

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.