Literature DB >> 15696375

Mitochondrial genetic codes evolve to match amino acid requirements of proteins.

Jonathan Swire1, Olivia P Judson, Austin Burt.   

Abstract

Mitochondria often use genetic codes different from the standard genetic code. Now that many mitochondrial genomes have been sequenced, these variant codes provide the first opportunity to examine empirically the processes that produce new genetic codes. The key question is: Are codon reassignments the sole result of mutation and genetic drift? Or are they the result of natural selection? Here we present an analysis of 24 phylogenetically independent codon reassignments in mitochondria. Although the mutation-drift hypothesis can explain reassignments from stop to an amino acid, we found that it cannot explain reassignments from one amino acid to another. In particular--and contrary to the predictions of the mutation-drift hypothesis--the codon involved in such a reassignment was not rare in the ancestral genome. Instead, such reassignments appear to take place while the codon is in use at an appreciable frequency. Moreover, the comparison of inferred amino acid usage in the ancestral genome with the neutral expectation shows that the amino acid gaining the codon was selectively favored over the amino acid losing the codon. These results are consistent with a simple model of weak selection on the amino acid composition of proteins in which codon reassignments are selected because they compensate for multiple slightly deleterious mutations throughout the mitochondrial genome. We propose that the selection pressure is for reduced protein synthesis cost: most reassignments give amino acids that are less expensive to synthesize. Taken together, our results strongly suggest that mitochondrial genetic codes evolve to match the amino acid requirements of proteins.

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Year:  2005        PMID: 15696375     DOI: 10.1007/s00239-004-0077-9

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


  62 in total

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Journal:  Nat Rev Genet       Date:  2001-01       Impact factor: 53.242

2.  Changes in mitochondrial genetic codes as phylogenetic characters: two examples from the flatworms.

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Journal:  Proc Natl Acad Sci U S A       Date:  2000-10-10       Impact factor: 11.205

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Journal:  Mol Biol Evol       Date:  1998-06       Impact factor: 16.240

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Journal:  Proc Natl Acad Sci U S A       Date:  1995-11-21       Impact factor: 11.205

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Authors:  D W Schultz; M Yarus
Journal:  J Mol Biol       Date:  1994-02-04       Impact factor: 5.469

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Authors:  S Anderson; A T Bankier; B G Barrell; M H de Bruijn; A R Coulson; J Drouin; I C Eperon; D P Nierlich; B A Roe; F Sanger; P H Schreier; A J Smith; R Staden; I G Young
Journal:  Nature       Date:  1981-04-09       Impact factor: 49.962

7.  Use of a deviant mitochondrial genetic code in yellow-green algae as a landmark for segregating members within the phylum.

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Journal:  J Mol Evol       Date:  1997-08       Impact factor: 2.395

8.  Directionally evolving genetic code: the UGA codon from stop to tryptophan in mitochondria.

Authors:  Y Inagaki; M Ehara; K I Watanabe; Y Hayashi-Ishimaru; T Ohama
Journal:  J Mol Evol       Date:  1998-10       Impact factor: 2.395

9.  Reassigning cysteine in the genetic code of Escherichia coli.

Authors:  V Döring; P Marlière
Journal:  Genetics       Date:  1998-10       Impact factor: 4.562

10.  A comparison of three fission yeast mitochondrial genomes.

Authors:  C E Bullerwell; J Leigh; L Forget; B F Lang
Journal:  Nucleic Acids Res       Date:  2003-01-15       Impact factor: 16.971

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  19 in total

1.  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

2.  Adaptive antioxidant methionine accumulation in respiratory chain complexes explains the use of a deviant genetic code in mitochondria.

Authors:  Aline Bender; Parvana Hajieva; Bernd Moosmann
Journal:  Proc Natl Acad Sci U S A       Date:  2008-10-22       Impact factor: 11.205

Review 3.  Pathways of Genetic Code Evolution in Ancient and Modern Organisms.

Authors:  Supratim Sengupta; Paul G Higgs
Journal:  J Mol Evol       Date:  2015-06-09       Impact factor: 2.395

4.  An alternative look at code evolution: using non-canonical codes to evaluate adaptive and historic models for the origin of the genetic code.

Authors:  David W Morgens; Andre R O Cavalcanti
Journal:  J Mol Evol       Date:  2013-01-24       Impact factor: 2.395

Review 5.  Dual functions of codons in the genetic code.

Authors:  Alexey V Lobanov; Anton A Turanov; Dolph L Hatfield; Vadim N Gladyshev
Journal:  Crit Rev Biochem Mol Biol       Date:  2010-08       Impact factor: 8.250

6.  Revisiting the physico-chemical hypothesis of code origin: an analysis based on code-sequence coevolution in a finite population.

Authors:  Ashutosh Vishwa Bandhu; Neha Aggarwal; Supratim Sengupta
Journal:  Orig Life Evol Biosph       Date:  2014-02-06       Impact factor: 1.950

7.  Genome wide exploration of the origin and evolution of amino acids.

Authors:  Xiaoxia Liu; Jingxian Zhang; Feng Ni; Xu Dong; Bucong Han; Daxiong Han; Zhiliang Ji; Yufen Zhao
Journal:  BMC Evol Biol       Date:  2010-03-15       Impact factor: 3.260

8.  The mechanisms of codon reassignments in mitochondrial genetic codes.

Authors:  Supratim Sengupta; Xiaoguang Yang; Paul G Higgs
Journal:  J Mol Evol       Date:  2007-05-29       Impact factor: 2.395

9.  Stops making sense: translational trade-offs and stop codon reassignment.

Authors:  Louise J Johnson; James A Cotton; Conrad P Lichtenstein; Greg S Elgar; Richard A Nichols; P David Polly; Steven C Le Comber
Journal:  BMC Evol Biol       Date:  2011-07-29       Impact factor: 3.260

10.  Complete mitochondrial genome of Bugula neritina (Bryozoa, Gymnolaemata, Cheilostomata): phylogenetic position of Bryozoa and phylogeny of lophophorates within the Lophotrochozoa.

Authors:  Kuem Hee Jang; Ui Wook Hwang
Journal:  BMC Genomics       Date:  2009-04-21       Impact factor: 3.969

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