Literature DB >> 19209379

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

Ning Li1, Jie Lv, Deng-Ke Niu.   

Abstract

Proteins that assimilate particular elements were found to avoid using amino acids containing the element, which indicates that the metabolic constraints of amino acids may influence the evolution of proteins. We suspected that low contents of carbon, nitrogen, and sulfur may also be selected for economy in highly abundant proteins that consume large amounts of the resources of cells. By analyzing recently available proteomic data in Escherichia coli, Saccharomyces cerevisiae, and Schizosaccharomyces pombe, we found that at least the carbon and nitrogen contents in amino acid side chains are negatively correlated with protein abundance. An amino acid with a high number of carbon atoms in its side chain generally requires relatively more energy for its synthesis. Thus, it may be selected against in highly abundant proteins either because of economy in building blocks or because of economy in energy. Previous studies showed that highly abundant proteins preferentially use cheap (in terms of energy) amino acids. We found that the carbon content is still negatively correlated with protein abundance after controlling for the energetic cost of the amino acids. However, the negative correlation between protein abundance and energetic cost disappeared after controlling for carbon content. Building blocks seem to be more restricted than energy. It seems that the amino acid sequences of highly abundant proteins have to compromise between optimization for their biological functions and reducing the consumption of limiting resources. By contrast, the amino acid sequences of weakly expressed proteins are more likely to be optimized for their biological functions.

Entities:  

Mesh:

Substances:

Year:  2009        PMID: 19209379     DOI: 10.1007/s00239-009-9199-4

Source DB:  PubMed          Journal:  J Mol Evol        ISSN: 0022-2844            Impact factor:   2.395


  39 in total

1.  Intimate evolution of proteins. Proteome atomic content correlates with genome base composition.

Authors:  Peggy Baudouin-Cornu; Katja Schuerer; Philippe Marlière; Dominique Thomas
Journal:  J Biol Chem       Date:  2003-11-29       Impact factor: 5.157

2.  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

3.  Starved cells eat ribosomes.

Authors:  Hitoshi Nakatogawa; Yoshinori Ohsumi
Journal:  Nat Cell Biol       Date:  2008-05       Impact factor: 28.824

4.  Selection costs of amino acid substitutions in ColE1 and ColIa gene clusters harbored by Escherichia coli.

Authors:  C L Craig; R S Weber
Journal:  Mol Biol Evol       Date:  1998-06       Impact factor: 16.240

5.  Purification and properties of a sulfate-binding protein from Salmonella typhimurium.

Authors:  A B Pardee
Journal:  J Biol Chem       Date:  1966-12-25       Impact factor: 5.157

6.  Metabolic efficiency and amino acid composition in the proteomes of Escherichia coli and Bacillus subtilis.

Authors:  Hiroshi Akashi; Takashi Gojobori
Journal:  Proc Natl Acad Sci U S A       Date:  2002-03-19       Impact factor: 11.205

7.  Correlation between mRNA and protein abundance in Desulfovibrio vulgaris: a multiple regression to identify sources of variations.

Authors:  Lei Nie; Gang Wu; Weiwen Zhang
Journal:  Biochem Biophys Res Commun       Date:  2005-11-17       Impact factor: 3.575

8.  Post-transcriptional expression regulation in the yeast Saccharomyces cerevisiae on a genomic scale.

Authors:  Andreas Beyer; Jens Hollunder; Heinz-Peter Nasheuer; Thomas Wilhelm
Journal:  Mol Cell Proteomics       Date:  2004-08-23       Impact factor: 5.911

9.  Protein abundance profiling of the Escherichia coli cytosol.

Authors:  Yasushi Ishihama; Thorsten Schmidt; Juri Rappsilber; Matthias Mann; F Ulrich Hartl; Michael J Kerner; Dmitrij Frishman
Journal:  BMC Genomics       Date:  2008-02-27       Impact factor: 3.969

10.  The universal protein resource (UniProt).

Authors: 
Journal:  Nucleic Acids Res       Date:  2007-11-27       Impact factor: 16.971

View more
  6 in total

Review 1.  Stoichiogenomics: the evolutionary ecology of macromolecular elemental composition.

Authors:  James J Elser; Claudia Acquisti; Sudhir Kumar
Journal:  Trends Ecol Evol       Date:  2010-11-18       Impact factor: 17.712

2.  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

3.  Dietary nitrogen alters codon bias and genome composition in parasitic microorganisms.

Authors:  Emily A Seward; Steven Kelly
Journal:  Genome Biol       Date:  2016-11-15       Impact factor: 13.583

4.  Proteins of generalist and specialist pathogens differ in their amino acid composition.

Authors:  Luz P Blanco; Bryan L Payne; Felix Feyertag; David Alvarez-Ponce
Journal:  Life Sci Alliance       Date:  2018-07-17

5.  Stoichiogenomics reveal oxygen usage bias, key proteins and pathways associated with stomach cancer.

Authors:  Xiaoyan Zuo; Bo Li; Chengxu Zhu; Zheng-Wen Yan; Miao Li; Xinyi Wang; Yu-Juan Zhang
Journal:  Sci Rep       Date:  2019-08-05       Impact factor: 4.996

6.  Little Evidence the Standard Genetic Code Is Optimized for Resource Conservation.

Authors:  Hana Rozhoňová; Joshua L Payne
Journal:  Mol Biol Evol       Date:  2021-10-27       Impact factor: 16.240

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.