Literature DB >> 8065933

Hydrophobicity, expressivity and aromaticity are the major trends of amino-acid usage in 999 Escherichia coli chromosome-encoded genes.

J R Lobry1, C Gautier.   

Abstract

Multivariate analysis of the amino-acid compositions of 999 chromosome-encoded proteins from Escherichia coli showed that three main factors influence the variability of amino-acid composition. The first factor was correlated with the global hydrophobicity of proteins, and it discriminated integral membrane proteins from the others. The second factor was correlated with gene expressivity, showing a bias in highly expressed genes towards amino-acids having abundant major tRNAs. Just as highly expressed genes have reduced codon diversity in protein coding sequences, so do they have a reduced diversity of amino-acid choice. This showed that translational constraints are important enough to affect the global amino-acid composition of proteins. The third factor was correlated with the aromaticity of proteins, showing that aromatic amino-acid content is highly variable.

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Year:  1994        PMID: 8065933      PMCID: PMC310293          DOI: 10.1093/nar/22.15.3174

Source DB:  PubMed          Journal:  Nucleic Acids Res        ISSN: 0305-1048            Impact factor:   16.971


  24 in total

1.  Codon frequencies in 119 individual genes confirm consistent choices of degenerate bases according to genome type.

Authors:  R Grantham; C Gautier; M Gouy
Journal:  Nucleic Acids Res       Date:  1980-05-10       Impact factor: 16.971

2.  Correlation between the abundance of Escherichia coli transfer RNAs and the occurrence of the respective codons in its protein genes.

Authors:  T Ikemura
Journal:  J Mol Biol       Date:  1981-02-15       Impact factor: 5.469

3.  GenBank.

Authors:  D Benson; D J Lipman; J Ostell
Journal:  Nucleic Acids Res       Date:  1993-07-01       Impact factor: 16.971

4.  Classification of proteins into groups based on amino acid composition and other characters. I. Angular distribution.

Authors:  K Nishikawa; Y Kubota; T Ooi
Journal:  J Biochem       Date:  1983-09       Impact factor: 3.387

5.  Codon usage in bacteria: correlation with gene expressivity.

Authors:  M Gouy; C Gautier
Journal:  Nucleic Acids Res       Date:  1982-11-25       Impact factor: 16.971

6.  Correlation of the amino acid composition of a protein to its structural and biological characters.

Authors:  K Nishikawa; T Ooi
Journal:  J Biochem       Date:  1982-05       Impact factor: 3.387

7.  A simple method for displaying the hydropathic character of a protein.

Authors:  J Kyte; R F Doolittle
Journal:  J Mol Biol       Date:  1982-05-05       Impact factor: 5.469

Review 8.  Codon catalog usage and the genome hypothesis.

Authors:  R Grantham; C Gautier; M Gouy; R Mercier; A Pavé
Journal:  Nucleic Acids Res       Date:  1980-01-11       Impact factor: 16.971

9.  Genetic distances from mRNA sequences.

Authors:  R Grantham; C Gautier
Journal:  Naturwissenschaften       Date:  1980-02

10.  Differential utilization of leucyl-tRNAs by Escherichia coli.

Authors:  W M Holmes; E Goldman; T A Miner; G W Hatfield
Journal:  Proc Natl Acad Sci U S A       Date:  1977-04       Impact factor: 11.205

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  77 in total

1.  Mining Bacillus subtilis chromosome heterogeneities using hidden Markov models.

Authors:  Pierre Nicolas; Laurent Bize; Florence Muri; Mark Hoebeke; François Rodolphe; S Dusko Ehrlich; Bernard Prum; Philippe Bessières
Journal:  Nucleic Acids Res       Date:  2002-03-15       Impact factor: 16.971

2.  Use and misuse of correspondence analysis in codon usage studies.

Authors:  Guy Perrière; Jean Thioulouse
Journal:  Nucleic Acids Res       Date:  2002-10-15       Impact factor: 16.971

3.  Codon usage between genomes is constrained by genome-wide mutational processes.

Authors:  Swaine L Chen; William Lee; Alison K Hottes; Lucy Shapiro; Harley H McAdams
Journal:  Proc Natl Acad Sci U S A       Date:  2004-02-27       Impact factor: 11.205

4.  Metabolic and translational efficiency in microbial organisms.

Authors:  Douglas W Raiford; Esley M Heizer; Robert V Miller; Travis E Doom; Michael L Raymer; Dan E Krane
Journal:  J Mol Evol       Date:  2012-04-27       Impact factor: 2.395

5.  Evidence of selection for low cognate amino acid bias in amino acid biosynthetic enzymes.

Authors:  Rui Alves; Michael A Savageau
Journal:  Mol Microbiol       Date:  2005-05       Impact factor: 3.501

6.  Archaeology and evolution of transfer RNA genes in the Escherichia coli genome.

Authors:  Mike Withers; Lorenz Wernisch; Mario dos Reis
Journal:  RNA       Date:  2006-04-17       Impact factor: 4.942

7.  Evolutionary constraints on codon and amino acid usage in two strains of human pathogenic actinobacteria Tropheryma whipplei.

Authors:  Sabyasachi Das; Sandip Paul; Chitra Dutta
Journal:  J Mol Evol       Date:  2006-03-22       Impact factor: 2.395

8.  Selection on synthesis cost affects interprotein amino acid usage in all three domains of life.

Authors:  Jonathan Swire
Journal:  J Mol Evol       Date:  2007-05-02       Impact factor: 2.395

9.  Protein evolutionary rates correlate with expression independently of synonymous substitutions in Helicobacter pylori.

Authors:  Björn Sällström; Ramy A Arnaout; Wagied Davids; Pär Bjelkmar; Siv G E Andersson
Journal:  J Mol Evol       Date:  2006-04-01       Impact factor: 2.395

10.  Analysis of synonymous codon usage in the UL24 gene of duck enteritis virus.

Authors:  Renyong Jia; Anchun Cheng; Mingshu Wang; Hongyi Xin; Yufei Guo; Dekang Zhu; Xuefeng Qi; Lichan Zhao; Han Ge; Xiaoyue Chen
Journal:  Virus Genes       Date:  2008-10-29       Impact factor: 2.332

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