Literature DB >> 12200484

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

Carmen Palacios1, Jennifer J Wernegreen.   

Abstract

The advent of full genome sequences provides exceptionally rich data sets to explore molecular and evolutionary mechanisms that shape divergence among and within genomes. In this study, we use multivariate analysis to determine the processes driving genome-wide patterns of amino usage in the obligate endosymbiont Buchnera and its close free-living relative Escherichia coli. In the AT-rich Buchnera genome, the primary source of variation in amino acid usage differentiates high- and low-expression genes. Amino acids of high-expression Buchnera genes are generally less aromatic and use relatively GC-rich codons, suggesting that selection against aromatic amino acids and against amino acids with AT-rich codons is stronger in high-expression genes. Selection to maintain hydrophobic amino acids in integral membrane proteins is a primary factor driving protein evolution in E. coli but is a secondary factor in Buchnera. In E. coli, gene expression is a secondary force driving amino acid usage, and a correlation with tRNA abundance suggests that translational selection contributes to this effect. Although this and previous studies demonstrate that AT mutational bias and genetic drift influence amino acid usage in Buchnera, this genome-wide analysis argues that selection is sufficient to affect the amino acid content of proteins with different expression and hydropathy levels.

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Year:  2002        PMID: 12200484     DOI: 10.1093/oxfordjournals.molbev.a004219

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


  15 in total

1.  Mutational and selective pressures on codon and amino acid usage in Buchnera, endosymbiotic bacteria of aphids.

Authors:  Claude Rispe; François Delmotte; Roeland C H J van Ham; Andres Moya
Journal:  Genome Res       Date:  2003-12-12       Impact factor: 9.043

2.  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

3.  Comparative analysis of essential genes and nonessential genes in Escherichia coli K12.

Authors:  Xiaodong Gong; Shaohua Fan; Amy Bilderbeck; Mingkun Li; Hongxia Pang; Shiheng Tao
Journal:  Mol Genet Genomics       Date:  2007-10-18       Impact factor: 3.291

4.  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

5.  Proteome composition in Plasmodium falciparum: higher usage of GC-rich nonsynonymous codons in highly expressed genes.

Authors:  Ipsita Chanda; Archana Pan; Chitra Dutta
Journal:  J Mol Evol       Date:  2005-07-21       Impact factor: 2.395

6.  Codon usage and amino acid usage influence genes expression level.

Authors:  Prosenjit Paul; Arup Kumar Malakar; Supriyo Chakraborty
Journal:  Genetica       Date:  2017-10-14       Impact factor: 1.082

7.  Translational selection and yeast proteome evolution.

Authors:  Hiroshi Akashi
Journal:  Genetics       Date:  2003-08       Impact factor: 4.562

8.  A conservative test of genetic drift in the endosymbiotic bacterium Buchnera: slightly deleterious mutations in the chaperonin groEL.

Authors:  Joshua T Herbeck; Daniel J Funk; Patrick H Degnan; Jennifer J Wernegreen
Journal:  Genetics       Date:  2003-12       Impact factor: 4.562

9.  Selection for highly biased amino acid frequency in the TolA cell envelope protein of Proteobacteria.

Authors:  Alejandro P Rooney
Journal:  J Mol Evol       Date:  2003-12       Impact factor: 2.395

10.  Community transcriptomics reveals universal patterns of protein sequence conservation in natural microbial communities.

Authors:  Frank J Stewart; Adrian K Sharma; Jessica A Bryant; John M Eppley; Edward F DeLong
Journal:  Genome Biol       Date:  2011-03-22       Impact factor: 13.583

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