Literature DB >> 21434765

Did evolution select a nonrandom "alphabet" of amino acids?

Gayle K Philip1, Stephen J Freeland.   

Abstract

The last universal common ancestor of contemporary biology (LUCA) used a precise set of 20 amino acids as a standard alphabet with which to build genetically encoded protein polymers. Considerable evidence indicates that some of these amino acids were present through nonbiological syntheses prior to the origin of life, while the rest evolved as inventions of early metabolism. However, the same evidence indicates that many alternatives were also available, which highlights the question: what factors led biological evolution on our planet to define its standard alphabet? One possibility is that natural selection favored a set of amino acids that exhibits clear, nonrandom properties-a set of especially useful building blocks. However, previous analysis that tested whether the standard alphabet comprises amino acids with unusually high variance in size, charge, and hydrophobicity (properties that govern what protein structures and functions can be constructed) failed to clearly distinguish evolution's choice from a sample of randomly chosen alternatives. Here, we demonstrate unambiguous support for a refined hypothesis: that an optimal set of amino acids would spread evenly across a broad range of values for each fundamental property. Specifically, we show that the standard set of 20 amino acids represents the possible spectra of size, charge, and hydrophobicity more broadly and more evenly than can be explained by chance alone.

Entities:  

Mesh:

Substances:

Year:  2011        PMID: 21434765     DOI: 10.1089/ast.2010.0567

Source DB:  PubMed          Journal:  Astrobiology        ISSN: 1557-8070            Impact factor:   4.335


  26 in total

Review 1.  Eukaryotes first: how could that be?

Authors:  Carlos Mariscal; W Ford Doolittle
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2015-09-26       Impact factor: 6.237

2.  A realistic model under which the genetic code is optimal.

Authors:  Harry Buhrman; Peter T S van der Gulik; Gunnar W Klau; Christian Schaffner; Dave Speijer; Leen Stougie
Journal:  J Mol Evol       Date:  2013-07-23       Impact factor: 2.395

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.  Nonlinear analysis of tRNAs nucleotide sequences by random walks: randomness and order in the primitive informational polymers.

Authors:  G Bianciardi; L Borruso
Journal:  J Mol Evol       Date:  2015-01-11       Impact factor: 2.395

Review 5.  Norvaline and norleucine may have been more abundant protein components during early stages of cell evolution.

Authors:  Claudia Alvarez-Carreño; Arturo Becerra; Antonio Lazcano
Journal:  Orig Life Evol Biosph       Date:  2013-09-08       Impact factor: 1.950

6.  Are molecular alphabets universal enabling factors for the evolution of complex life?

Authors:  Ian S Dunn
Journal:  Orig Life Evol Biosph       Date:  2014-02-09       Impact factor: 1.950

7.  Chance and necessity in biochemistry: implications for the search for extraterrestrial biomarkers in Earth-like environments.

Authors:  Alfonso F Davila; Christopher P McKay
Journal:  Astrobiology       Date:  2014-05-27       Impact factor: 4.335

Review 8.  The dawn of evolutionary genome engineering.

Authors:  Csaba Pál; Balázs Papp; György Pósfai
Journal:  Nat Rev Genet       Date:  2014-05-28       Impact factor: 53.242

9.  Pentamers with Non-redundant Frames: Bias for Natural Circular Code Codons.

Authors:  Jacques Demongeot; Hervé Seligmann
Journal:  J Mol Evol       Date:  2020-01-07       Impact factor: 2.395

10.  Enzyme catalysis prior to aromatic residues: Reverse engineering of a dephospho-CoA kinase.

Authors:  Mikhail Makarov; Jingwei Meng; Vyacheslav Tretyachenko; Pavel Srb; Anna Březinová; Valerio Guido Giacobelli; Lucie Bednárová; Jiří Vondrášek; A Keith Dunker; Klára Hlouchová
Journal:  Protein Sci       Date:  2021-03-26       Impact factor: 6.725

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.