Literature DB >> 22538926

Metabolic and translational efficiency in microbial organisms.

Douglas W Raiford1, Esley M Heizer, Robert V Miller, Travis E Doom, Michael L Raymer, Dan E Krane.   

Abstract

Metabolic efficiency, as a selective force shaping proteomes, has been shown to exist in Escherichia coli and Bacillus subtilis and in a small number of organisms with photoautotrophic and thermophilic lifestyles. Earlier attempts at larger-scale analyses have utilized proxies (such as molecular weight) for biosynthetic cost, and did not consider lifestyle or auxotrophy. This study extends the analysis to all currently sequenced microbial organisms that are amenable to these analyses while utilizing lifestyle specific amino acid biosynthesis pathways (where possible) to determine protein production costs and compensating for auxotrophy. The tendency for highly expressed proteins (with adherence to codon usage bias as a proxy for expressivity) to utilize less biosynthetically expensive amino acids is taken as evidence of cost selection. A comprehensive analysis of sequenced genomes to identify those that exhibit strong translational efficiency bias (389 out of 1,700 sequenced organisms) is also presented.

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Year:  2012        PMID: 22538926     DOI: 10.1007/s00239-012-9500-9

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


  39 in total

1.  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

2.  Automated isolation of translational efficiency bias that resists the confounding effect of GC(AT)-content.

Authors:  Douglas W Raiford; Dan E Krane; Travis E Doom; Michael L Raymer
Journal:  IEEE/ACM Trans Comput Biol Bioinform       Date:  2010 Apr-Jun       Impact factor: 3.710

3.  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

4.  Molecular population genetics and evolution.

Authors:  M Nei
Journal:  Front Biol       Date:  1975

5.  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

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.  The codon Adaptation Index--a measure of directional synonymous codon usage bias, and its potential applications.

Authors:  P M Sharp; W H Li
Journal:  Nucleic Acids Res       Date:  1987-02-11       Impact factor: 16.971

8.  The signature of selection mediated by expression on human genes.

Authors:  Araxi O Urrutia; Laurence D Hurst
Journal:  Genome Res       Date:  2003-09-15       Impact factor: 9.043

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.  Evolutionary systems biology of amino acid biosynthetic cost in yeast.

Authors:  Michael D Barton; Daniela Delneri; Stephen G Oliver; Magnus Rattray; Casey M Bergman
Journal:  PLoS One       Date:  2010-08-17       Impact factor: 3.240

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  10 in total

Review 1.  Antibiotic-free selection in biotherapeutics: now and forever.

Authors:  Charlotte Mignon; Régis Sodoyer; Bettina Werle
Journal:  Pathogens       Date:  2015-04-03

2.  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

3.  Amino Acid Flux from Metabolic Network Benefits Protein Translation: the Role of Resource Availability.

Authors:  Xiao-Pan Hu; Yi Yang; Bin-Guang Ma
Journal:  Sci Rep       Date:  2015-06-09       Impact factor: 4.379

4.  Selection for energy efficiency drives strand-biased gene distribution in prokaryotes.

Authors:  Na Gao; Guanting Lu; Martin J Lercher; Wei-Hua Chen
Journal:  Sci Rep       Date:  2017-09-05       Impact factor: 4.379

5.  Evolution of Nucleotide Punctuation Marks: From Structural to Linear Signals.

Authors:  Nawal El Houmami; Hervé Seligmann
Journal:  Front Genet       Date:  2017-03-27       Impact factor: 4.599

6.  Selection for Reducing Energy Cost of Protein Production Drives the GC Content and Amino Acid Composition Bias in Gene Transfer Agents.

Authors:  Roman Kogay; Yuri I Wolf; Eugene V Koonin; Olga Zhaxybayeva
Journal:  mBio       Date:  2020-07-14       Impact factor: 7.867

7.  Genome-wide nucleotide patterns and potential mechanisms of genome divergence following domestication in maize and soybean.

Authors:  Jinyu Wang; Xianran Li; Kyung Do Kim; Michael J Scanlon; Scott A Jackson; Nathan M Springer; Jianming Yu
Journal:  Genome Biol       Date:  2019-04-25       Impact factor: 13.583

8.  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

9.  Amino Acid metabolism conflicts with protein diversity.

Authors:  Teresa Krick; Nina Verstraete; Leonardo G Alonso; David A Shub; Diego U Ferreiro; Michael Shub; Ignacio E Sánchez
Journal:  Mol Biol Evol       Date:  2014-08-01       Impact factor: 16.240

10.  Energy efficiency trade-offs drive nucleotide usage in transcribed regions.

Authors:  Wei-Hua Chen; Guanting Lu; Peer Bork; Songnian Hu; Martin J Lercher
Journal:  Nat Commun       Date:  2016-04-21       Impact factor: 14.919

  10 in total

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