Literature DB >> 16195487

Apparent trends of amino Acid gain and loss in protein evolution due to nearly neutral variation.

John H McDonald1.   

Abstract

It has recently been claimed that certain amino acids have been increasing in frequency in all living organisms for most of the history of life on earth, while other amino acids have been decreasing in frequency. Three lines of evidence have been offered for this assertion, but each has a more plausible alternative interpretation. Here I show that unequal patterns of gains and losses for particular pairs of amino acids (such as more leucine --> phenylalanine than phenylalanine --> leucine substitutions in humans and chimpanzees since they split from a common ancestor) are consistent with a simple neutral model at equilibrium amino acid frequencies. Unequal numbers of gains and losses for particular amino acids (such as more gains than losses of cysteine) are shown by simulations to be consistent with a model of nearly neutral evolution. Unequal numbers of gains and losses for particular amino acids in human polymorphism data are shown by simulations to be explainable by the nearly neutral model as well. In a comparison of protein sequences from four strains of Escherichia coli, polarized by one outgroup strain of Salmonella, the disparity in number of gains and losses for particular amino acids is strong in terminal branches but weaker or nonexistent in internal branches, which is inconsistent with the universal trend model but as expected under the nearly neutral model.

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Year:  2005        PMID: 16195487     DOI: 10.1093/molbev/msj026

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


  14 in total

1.  Observations of amino acid gain and loss during protein evolution are explained by statistical bias.

Authors:  Richard A Goldstein; David D Pollock
Journal:  Mol Biol Evol       Date:  2006-05-11       Impact factor: 16.240

2.  Enzyme-driven speciation: crystallizing Archaea via lipid capture.

Authors:  Jian Payandeh; Emil F Pai
Journal:  J Mol Evol       Date:  2007-01-25       Impact factor: 2.395

3.  Signature of a primitive genetic code in ancient protein lineages.

Authors:  Gregory P Fournier; J Peter Gogarten
Journal:  J Mol Evol       Date:  2007-10-06       Impact factor: 2.395

4.  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

5.  A Shift in Aggregation Avoidance Strategy Marks a Long-Term Direction to Protein Evolution.

Authors:  Scott G Foy; Benjamin A Wilson; Jason Bertram; Matthew H J Cordes; Joanna Masel
Journal:  Genetics       Date:  2019-01-28       Impact factor: 4.562

6.  Selective pressure to increase charge in immunodominant epitopes of the H3 hemagglutinin influenza protein.

Authors:  Keyao Pan; Jinxue Long; Haoxin Sun; Gregory J Tobin; Peter L Nara; Michael W Deem
Journal:  J Mol Evol       Date:  2010-11-18       Impact factor: 2.395

7.  The universal trend of amino acid gain-loss is caused by CpG hypermutability.

Authors:  Kazuharu Misawa; Naoyuki Kamatani; Reiko F Kikuno
Journal:  J Mol Evol       Date:  2008-09-23       Impact factor: 2.395

8.  Features of recent codon evolution: a comparative polymorphism-fixation study.

Authors:  Zhongming Zhao; Cizhong Jiang
Journal:  J Biomed Biotechnol       Date:  2010-06-07

9.  Uniquely localized intra-molecular amino acid concentrations at the glycolytic enzyme catalytic/active centers of Archaea, Bacteria and Eukaryota are associated with their proposed temporal appearances on earth.

Authors:  J Dennis Pollack; David Gerard; Dennis K Pearl
Journal:  Orig Life Evol Biosph       Date:  2013-05-29       Impact factor: 1.950

10.  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

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