Literature DB >> 18937004

Do amino acid biosynthetic costs constrain protein evolution in Saccharomyces cerevisiae?

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

Abstract

Prokaryotic organisms preferentially utilize less energetically costly amino acids in highly expressed genes. Studies have shown that the proteome of Saccharomyces cerevisiae also exhibits this behavior, but only in broad terms. This study examines the question of metabolic efficiency as a proteome-shaping force at a finer scale, examining whether trends consistent with cost minimization as an evolutionary force are present independent of protein function and amino acid physicochemical property, and consistently with respect to amino acid biosynthetic costs. Inverse correlations between the average amino acid biosynthetic cost of the protein product and the levels of gene expression in S. cerevisiae are consistent with natural selection to minimize costs. There are, however, patterns of amino acid usage that raise questions about the strength (and possibly the universality) of this selective force in shaping S. cerevisiae's proteome.

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Year:  2008        PMID: 18937004     DOI: 10.1007/s00239-008-9162-9

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


  26 in total

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  26 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

Review 2.  Engineering the supply chain for protein production/secretion in yeasts and mammalian cells.

Authors:  Tobias Klein; Jens Niklas; Elmar Heinzle
Journal:  J Ind Microbiol Biotechnol       Date:  2015-01-06       Impact factor: 3.346

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

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Journal:  Mol Biol Evol       Date:  2012-07-23       Impact factor: 16.240

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Authors:  Esley M Heizer; Michael L Raymer; Dan E Krane
Journal:  J Mol Evol       Date:  2011-05-22       Impact factor: 2.395

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

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Authors:  Chris Soon Heng Tan; Adrian Pasculescu; Wendell A Lim; Tony Pawson; Gary D Bader; Rune Linding
Journal:  Science       Date:  2009-07-09       Impact factor: 47.728

8.  The antimalarial drug quinine disrupts Tat2p-mediated tryptophan transport and causes tryptophan starvation.

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9.  Universal and taxon-specific trends in protein sequences as a function of age.

Authors:  Jennifer E James; Sara M Willis; Paul G Nelson; Catherine Weibel; Luke J Kosinski; Joanna Masel
Journal:  Elife       Date:  2021-01-08       Impact factor: 8.140

10.  Quantitative metabolomics analysis of amino acid metabolism in recombinant Pichia pastoris under different oxygen availability conditions.

Authors:  Marc Carnicer; Angela Ten Pierick; Jan van Dam; Joseph J Heijnen; Joan Albiol; Walter van Gulik; Pau Ferrer
Journal:  Microb Cell Fact       Date:  2012-06-15       Impact factor: 5.328

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