Literature DB >> 16754641

Amino acid cost and codon-usage biases in 6 prokaryotic genomes: a whole-genome analysis.

Esley M Heizer1, Douglas W Raiford, Michael L Raymer, Travis E Doom, Robert V Miller, Dan E Krane.   

Abstract

For most prokaryotic organisms, amino acid biosynthesis represents a significant portion of their overall energy budget. The difference in the cost of synthesis between amino acids can be striking, differing by as much as 7-fold. Two prokaryotic organisms, Escherichia coli and Bacillus subtilis, have been shown to preferentially utilize less costly amino acids in highly expressed genes, indicating that parsimony in amino acid selection may confer a selective advantage for prokaryotes. This study confirms those findings and extends them to 4 additional prokaryotic organisms: Chlamydia trachomatis, Chlamydophila pneumoniae AR39, Synechocystis sp. PCC 6803, and Thermus thermophilus HB27. Adherence to codon-usage biases for each of these 6 organisms is inversely correlated with a coding region's average amino acid biosynthetic cost in a fashion that is independent of chemoheterotrophic, photoautotrophic, or thermophilic lifestyle. The obligate parasites C. trachomatis and C. pneumoniae AR39 are incapable of synthesizing many of the 20 common amino acids. Removing auxotrophic amino acids from consideration in these organisms does not alter the overall trend of preferential use of energetically inexpensive amino acids in highly expressed genes.

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Year:  2006        PMID: 16754641     DOI: 10.1093/molbev/msl029

Source DB:  PubMed          Journal:  Mol Biol Evol        ISSN: 0737-4038            Impact factor:   16.240


  38 in total

1.  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

2.  Protein carbon content evolves in response to carbon availability and may influence the fate of duplicated genes.

Authors:  Jason G Bragg; Andreas Wagner
Journal:  Proc Biol Sci       Date:  2007-04-22       Impact factor: 5.349

3.  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

4.  Low contents of carbon and nitrogen in highly abundant proteins: evidence of selection for the economy of atomic composition.

Authors:  Ning Li; Jie Lv; Deng-Ke Niu
Journal:  J Mol Evol       Date:  2009-02-10       Impact factor: 2.395

5.  Comparative investigation of the various determinants that influence the codon and amino acid usage patterns in the genus Bifidobacterium.

Authors:  Ayan Roy; Subhasish Mukhopadhyay; Indrani Sarkar; Arnab Sen
Journal:  World J Microbiol Biotechnol       Date:  2015-04-05       Impact factor: 3.312

Review 6.  Acquisition of nutrients by Chlamydiae: unique challenges of living in an intracellular compartment.

Authors:  Hector Alex Saka; Raphael H Valdivia
Journal:  Curr Opin Microbiol       Date:  2009-12-16       Impact factor: 7.934

7.  Chlorobaculum tepidum Modulates Amino Acid Composition in Response to Energy Availability, as Revealed by a Systematic Exploration of the Energy Landscape of Phototrophic Sulfur Oxidation.

Authors:  Amalie T Levy; Kelvin H Lee; Thomas E Hanson
Journal:  Appl Environ Microbiol       Date:  2016-10-14       Impact factor: 4.792

8.  A novel approach for determining environment-specific protein costs: the case of Arabidopsis thaliana.

Authors:  Max Sajitz-Hermstein; Zoran Nikoloski
Journal:  Bioinformatics       Date:  2010-09-15       Impact factor: 6.937

9.  Temperature adaptation at homologous sites in proteins from nine thermophile-mesophile species pairs.

Authors:  John H McDonald
Journal:  Genome Biol Evol       Date:  2010-07-12       Impact factor: 3.416

10.  Economical evolution: microbes reduce the synthetic cost of extracellular proteins.

Authors:  Daniel R Smith; Matthew R Chapman
Journal:  MBio       Date:  2010-08-24       Impact factor: 7.867

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