Literature DB >> 35147896

The Influence of Codon Usage, Protein Abundance, and Protein Stability on Protein Evolution Vary by Evolutionary Distance and the Type of Protein.

Peter M Palenchar1.   

Abstract

In general, the evolutionary rate of proteins is not primarily related to protein and amino acid functions, and factors such as protein abundance, codon usage, and the protein's TM are more important. To better understand the factors that affect protein evolution, E. coli MG1655 orthologs were compared to those in closely related bacteria and to more distantly related prokaryotes, eukaryotes, and archaea. Also, the evolution of different types of proteins was studied. The analyses indicate that the amino acid conservation of enzymes that do not use macromolecules (e.g. DNA, RNA, and proteins) as substrates and that carry out metabolic processes involving small molecules (i.e. small molecule enzymes) is different than other enzymes. For example, the small molecule enzymes have a lower percent identity than other enzymes when sequences from closely related bacteria are compared. Analyses indicate the lower percent identity is not a result of the amino acid or codon usage of the small molecule enzymes. The small molecule enzymes also don't have a significantly lower protein abundance indicating that is also not likely an important factor driving differences in amino acid conservation. Analyses indicate different methods to measure the TM of proteins have different relationships between amino acid conservation over different evolutionary distances. In totality, the results demonstrate that the relationship between the factors thought to affect protein evolution (protein abundance, codon usage, and proteins TMs) and protein evolution are complex and depend on the factor, the organisms, and the type of proteins being analyzed.
© 2022. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.

Entities:  

Keywords:  Codon Adaption index; Enzyme; Evolutionary rate; Ka; Protein abundance; Tm

Mesh:

Substances:

Year:  2022        PMID: 35147896     DOI: 10.1007/s10930-022-10045-w

Source DB:  PubMed          Journal:  Protein J        ISSN: 1572-3887            Impact factor:   2.371


  37 in total

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Journal:  Protein J       Date:  2008-08       Impact factor: 2.371

7.  Codon influence on protein expression in E. coli correlates with mRNA levels.

Authors:  Reka Letso; Helen Neely; W Nicholson Price; Grégory Boël; Kam-Ho Wong; Min Su; Jon Luff; Mayank Valecha; John K Everett; Thomas B Acton; Rong Xiao; Gaetano T Montelione; Daniel P Aalberts; John F Hunt
Journal:  Nature       Date:  2016-01-13       Impact factor: 49.962

8.  Widespread position-specific conservation of synonymous rare codons within coding sequences.

Authors:  Julie L Chaney; Aaron Steele; Rory Carmichael; Anabel Rodriguez; Alicia T Specht; Kim Ngo; Jun Li; Scott Emrich; Patricia L Clark
Journal:  PLoS Comput Biol       Date:  2017-05-05       Impact factor: 4.475

9.  Protein abundance profiling of the Escherichia coli cytosol.

Authors:  Yasushi Ishihama; Thorsten Schmidt; Juri Rappsilber; Matthias Mann; F Ulrich Hartl; Michael J Kerner; Dmitrij Frishman
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10.  Highly expressed genes evolve under strong epistasis from a proteome-wide scan in E. coli.

Authors:  Pouria Dasmeh; Éric Girard; Adrian W R Serohijos
Journal:  Sci Rep       Date:  2017-11-20       Impact factor: 4.379

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