Literature DB >> 17476453

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

Jonathan Swire1.   

Abstract

Most investigations of the forces shaping protein evolution have focused on protein function. However, cells are typically 50%-75% protein by dry weight, with protein expression levels distributed over five orders of magnitude. Cells may, therefore, be under considerable selection pressure to incorporate amino acids that are cheap to synthesize into proteins that are highly expressed. Such selection pressure has been demonstrated to alter amino acid usage in a few organisms, but whether "cost selection" is a general phenomenon remains unknown. One reason for this is that reliable protein expression level data is not available for most organisms. Accordingly, I have developed a new method for detecting cost selection. This method depends solely on interprotein gradients in amino acid usage. Applying it to an analysis of 43 whole genomes from all three domains of life, I show that selection on the synthesis cost of amino acids is a pervasive force in shaping the composition of proteins. Moreover, some amino acids have different price tags for different organisms--the cost of amino acids is changed for organisms living in hydrothermal vents compared with those living at the sea surface or for organisms that have difficulty acquiring elements such as nitrogen compared with those that do not--so I also investigated whether differences between organisms in amino acid usage might reflect differences in synthesis or acquisition costs. The results suggest that organisms evolve to alter amino acid usage in response to environmental conditions.

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Year:  2007        PMID: 17476453     DOI: 10.1007/s00239-006-0206-8

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


  46 in total

1.  Patterns of temperature adaptation in proteins from Methanococcus and Bacillus.

Authors:  J H McDonald; A M Grasso; L K Rejto
Journal:  Mol Biol Evol       Date:  1999-12       Impact factor: 16.240

2.  Analysis of the yeast transcriptome with structural and functional categories: characterizing highly expressed proteins.

Authors:  R Jansen; M Gerstein
Journal:  Nucleic Acids Res       Date:  2000-03-15       Impact factor: 16.971

3.  A post-genomic challenge: learning to read patterns of protein synthesis.

Authors:  A Abbott
Journal:  Nature       Date:  1999-12-16       Impact factor: 49.962

4.  Thermal adaptation analyzed by comparison of protein sequences from mesophilic and extremely thermophilic Methanococcus species.

Authors:  P J Haney; J H Badger; G L Buldak; C I Reich; C R Woese; G J Olsen
Journal:  Proc Natl Acad Sci U S A       Date:  1999-03-30       Impact factor: 11.205

5.  Compositional variation in bacterial genes and proteins with potential expression level.

Authors:  Sabyasachi Das; Subhagata Ghosh; Archana Pan; Chitra Dutta
Journal:  FEBS Lett       Date:  2005-09-26       Impact factor: 4.124

6.  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

7.  Engineering protein thermal stability. Sequence statistics point to residue substitutions in alpha-helices.

Authors:  L Menéndez-Arias; P Argos
Journal:  J Mol Biol       Date:  1989-03-20       Impact factor: 5.469

8.  Correlation between the abundance of yeast transfer RNAs and the occurrence of the respective codons in protein genes. Differences in synonymous codon choice patterns of yeast and Escherichia coli with reference to the abundance of isoaccepting transfer RNAs.

Authors:  T Ikemura
Journal:  J Mol Biol       Date:  1982-07-15       Impact factor: 5.469

9.  A strong effect of AT mutational bias on amino acid usage in Buchnera is mitigated at high-expression genes.

Authors:  Carmen Palacios; Jennifer J Wernegreen
Journal:  Mol Biol Evol       Date:  2002-09       Impact factor: 16.240

10.  Biased usages of arginines and lysines in proteins are correlated with local-scale fluctuations of the G + C content of DNA sequences.

Authors:  M Nishizawa; K Nishizawa
Journal:  J Mol Evol       Date:  1998-10       Impact factor: 2.395

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  36 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.  Histidine biosynthesis.

Authors:  Robert A Ingle
Journal:  Arabidopsis Book       Date:  2011-02-02

3.  The cellular geometry of growth drives the amino acid economy of Caenorhabditis elegans.

Authors:  Jonathan Swire; Silke Fuchs; Jacob G Bundy; Armand M Leroi
Journal:  Proc Biol Sci       Date:  2009-05-13       Impact factor: 5.349

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.  Estimating the Influence of Physicochemical and Biochemical Property Indexes on Selection for Amino Acids Usage in Eukaryotic Cells.

Authors:  Giovani B Fogalli; Sergio R P Line
Journal:  J Mol Evol       Date:  2021-03-24       Impact factor: 2.395

6.  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

7.  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

8.  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

9.  A genomic analysis of the archaeal system Ignicoccus hospitalis-Nanoarchaeum equitans.

Authors:  Mircea Podar; Iain Anderson; Kira S Makarova; James G Elkins; Natalia Ivanova; Mark A Wall; Athanasios Lykidis; Kostantinos Mavromatis; Hui Sun; Matthew E Hudson; Wenqiong Chen; Cosmin Deciu; Don Hutchison; Jonathan R Eads; Abraham Anderson; Fillipe Fernandes; Ernest Szeto; Alla Lapidus; Nikos C Kyrpides; Milton H Saier; Paul M Richardson; Reinhard Rachel; Harald Huber; Jonathan A Eisen; Eugene V Koonin; Martin Keller; Karl O Stetter
Journal:  Genome Biol       Date:  2008-11-10       Impact factor: 13.583

10.  Calculation of the relative metastabilities of proteins in subcellular compartments of Saccharomyces cerevisiae.

Authors:  Jeffrey M Dick
Journal:  BMC Syst Biol       Date:  2009-07-18
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