Many alternative and theoretical genetic codes are more robust to amino acid replacements than the standard genetic code

2019 ◽  
Vol 464 ◽  
pp. 21-32 ◽  
Author(s):  
Paweł Błażej ◽  
Małgorzata Wnętrzak ◽  
Dorota Mackiewicz ◽  
Przemysław Gagat ◽  
Paweł Mackiewicz
Keyword(s):  
Amino Acid ◽  
Genetic Code ◽  
Standard Genetic Code ◽  
Genetic Codes

scholarly journals Packing the Standard Genetic Code in its box: 3-dimensional late Crick wobble

2021 ◽  
Author(s):  
Michael Yarus
Keyword(s):  
Amino Acid ◽  
Genetic Code ◽  
Dimensional Space ◽  
Parallel Evolution ◽  
Three Dimensional ◽  
Standard Genetic Code ◽  
3 Dimensional ◽  
Combinatorial Properties ◽  
Genetic Codes ◽  
Level Order

AbstractMinimally-evolved codes are constructed with randomly chosen Standard Genetic Code (SGC) triplets, and completed with completely random triplet assignments. Such “genetic codes” have not evolved, but retain SGC qualities. Retained qualities are inescapable, part of the logic of code evolution. For example, sensitivity of coding to arbitrary assignments, which must be <≈ 10%, is intrinsic. Such sensitivity comes from elementary combinatorial properties of coding, and constrains any SGC evolution hypothesis. Similarly, evolution of last-evolved functions is difficult, due to late kinetic phenomena, likely common across codes. Census of minimally-evolved code assignments shows that shape and size of wobble domains controls packing into a coding table, shifting the accuracy of codon assignments. Access to the SGC therefore requires a plausible pathway to limited randomness, avoiding difficult completion while packing a highly ordered, degenerate code into a fixed three-dimensional space. Late Crick wobble in a 3-dimensional genetic code previously assembled by lateral transfer satisfies these varied, simultaneous requirements. By allowing parallel evolution of SGC domains, it can yield shortened evolution to SGC-level order, and allow the code to arise in smaller populations. It effectively yields full codes. Less obviously, it unifies well-studied sources for order in amino acid coding, including a minority of stereochemical triplet-amino acid associations. Finally, fusion of its intermediates into the definitive SGC is credible, mirroring broadly-accepted later events in cellular evolution.

scholarly journals Fitting the standard genetic code into its triplet table

2021 ◽  
Vol 118 (36) ◽  
pp. e2021103118
Author(s):  
Michael Yarus
Keyword(s):  
Amino Acid ◽  
Genetic Code ◽  
Dimensional Space ◽  
Parallel Evolution ◽  
Three Dimensional ◽  
Standard Genetic Code ◽  
Basic Part ◽  
Combinatorial Properties ◽  
Genetic Codes ◽  
Level Order

Minimally evolved codes are constructed here; these have randomly chosen standard genetic code (SGC) triplets, completed with completely random triplet assignments. Such “genetic codes” have not evolved, but retain SGC qualities. Retained qualities are basic, part of the underpinning of coding. For example, the sensitivity of coding to arbitrary assignments, which must be < ∼10%, is intrinsic. Such sensitivity comes from the elementary combinatorial properties of coding and constrains any SGC evolution hypothesis. Similarly, assignment of last-evolved functions is difficult because of late kinetic phenomena, likely common across codes. Census of minimally evolved code assignments shows that shape and size of wobble domains controls the code’s fit into a coding table, strongly shifting accuracy of codon assignments. Access to the SGC therefore requires a plausible pathway to limited randomness, avoiding difficult completion while fitting a highly ordered, degenerate code into a preset three-dimensional space. Three-dimensional late Crick wobble in a genetic code assembled by lateral transfer between early partial codes satisfies these varied, simultaneous requirements. By allowing parallel evolution of SGC domains, this origin can yield shortened evolution to SGC-level order and allow the code to arise in smaller populations. It effectively yields full codes. Less obviously, it unifies previously studied chemical, biochemical, and wobble order in amino acid assignment, including a stereochemical minority of triplet–amino acid associations. Finally, fusion of intermediates into the final SGC is credible, mirroring broadly accepted later cellular evolution.

scholarly journals On the Importance of Asymmetry in the Phenotypic Expression of the Genetic Code upon the Molecular Evolution of Proteins

Symmetry ◽  
2020 ◽  
Vol 12 (6) ◽  
pp. 997
Author(s):  
Marco V. José ◽  
Gabriel S. Zamudio
Keyword(s):  
Amino Acids ◽  
Amino Acid ◽  
Genetic Code ◽  
Phenotypic Expression ◽  
Standard Genetic Code ◽  
Specific Amino Acid ◽  
Trna Synthetases ◽  
Probability Of Occurrence ◽  
Genetic Codes ◽  
Evolution Of Proteins

The standard genetic code (SGC) is a mapping between the 64 possible arrangements of the four RNA nucleotides (C, A, U, G) into triplets or codons, where 61 codons are assigned to a specific amino acid and the other three are stop codons for terminating protein synthesis. Aminoacyl-tRNA synthetases (aaRSs) are responsible for implementing the SGC by specifically amino-acylating only its cognate transfer RNA (tRNA), thereby linking an amino acid with its corresponding anticodon triplets. tRNAs molecules bind each codon with its anticodon. To understand the meaning of symmetrical/asymmetrical properties of the SGC, we designed synthetic genetic codes with known symmetries and with the same degeneracy of the SGC. We determined their impact on the substitution rates for each amino acid under a neutral model of protein evolution. We prove that the phenotypic graphs of the SGC for codons and anticodons for all the possible arrangements of nucleotides are asymmetric and the amino acids do not form orbits. In the symmetrical synthetic codes, the amino acids are grouped according to their codonicity, this is the number of triplets encoding a given amino acid. Both the SGC and symmetrical synthetic codes exhibit a probability of occurrence of the amino acids proportional to their degeneracy. Unlike the SGC, the synthetic codes display a constant probability of occurrence of the amino acid according to their codonicity. The asymmetry of the phenotypic graphs of codons and anticodons of the SGC, has important implications on the evolutionary processes of proteins.

scholarly journals Optimization of Expanded Genetic Codes via Genetic Algorithms

2018 ◽  
Author(s):  
Maísa de Carvalho Silva ◽  
Lariza Laura De Oliveira ◽  
Renato Tinós
Keyword(s):  
Amino Acids ◽  
Genetic Algorithms ◽  
Amino Acid ◽  
Genetic Code ◽  
Unnatural Amino Acids ◽  
Genetically Modified Organisms ◽  
Fitness Function ◽  
Unnatural Amino Acid ◽  
Standard Genetic Code ◽  
Genetic Codes

In the last decades, researchers have proposed the use of genetically modified organisms that utilize unnatural amino acids, i.e., amino acids other than the 20 amino acids encoded in the standard genetic code. Unnatural amino acids have been incorporated into genetically engineered organisms for the development of new drugs, fuels and chemicals. When new amino acids are incorporated, it is necessary to modify the standard genetic code. Expanded genetic codes have been created without considering the robustness of the code. The objective of this work is the use of genetic algorithms (GAs) for the optimization of expanded genetic codes. The GA indicates which codons of the standard genetic code should be used to encode a new unnatural amino acid. The fitness function has two terms; one for robustness of the new code and another that takes into account the frequency of use of amino acids. Experiments show that, by controlling the weighting between the two terms, it is possible to obtain more or less amino acid substitutions at the same time that the robustness is minimized.

scholarly journals Standard genetic code: p-adic modelling, nucleon balances and selfsimilarity

2016 ◽  
Vol 14 (3) ◽  
pp. 275-298 ◽  
Author(s):  
Natasa Misic
Keyword(s):  
Amino Acid ◽  
Genetic Code ◽  
Driving Forces ◽  
Standard Genetic Code ◽  
Origin And Evolution ◽  
Novel Approach ◽  
Nucleon Number ◽  
The One ◽  
Mitochondrial Code ◽  
Rna And Dna

This paper represents the preliminary results and conclusions on the one of fundamental questions of the genetic code related to the underlying selective mechanisms involved in its origin and evolution, in particular their hypothetical different nature, originally considered in [1,2,3]. A novel approach is introduced, based on known arithmetic regularities inside the genetic code, determined by the nucleon balances of amino acids and their divisibility by the decimal number 37 [4]. As a parameter of the genetic code systematization is introduced an aggregate nucleon number of amino acid and cognate codon, while divisibility test is carried out not only by the number 37, but also by 13.7, the selfsimilarity constant of decimal scaling [5]. Relevant nucleon sums were obtained for the most prominent divisions of the standard genetic code (SGC) according to p-adic model of the vertebrate mitochondrial code (VMC) in [6]. The nucleon number divisibility pattern of 37 and 13.7 for the RNA and DNA codon space, as well as for the amino acid space is also analyzed. The obtained results, particularly a general higher divisibility of the nucleon sums by the numbers 37 and 13.7 in SGC than in VMC, as well as a correspondence between the nucleon number divisibility pattern of both the RNA codon space and the amino acid space of SGC, how separately so conjointly, with the code degeneracy pattern, suggest some conclusions: support the hypothesis [1,2,3,7] that the selective driving forces acting during an emergence (an ancient phase) and an evolution (a modern phase) of the genetic code are different, imply the existence of an environmental-dependent stereochemical mechanism throughout the entire period of the genetic code emergence and support a mineral-mediated origin of the genetic code [7,8].

scholarly journals Did Amino Acid Side Chain Reactivity Dictate the Composition and Timing of Aminoacyl-tRNA Synthetase Evolution?

Genes ◽  
2021 ◽  
Vol 12 (3) ◽  
pp. 409
Author(s):  
Tamara L. Hendrickson ◽  
Whitney N. Wood ◽  
Udumbara M. Rathnayake
Keyword(s):  
Amino Acids ◽  
Amino Acid ◽  
Genetic Code ◽  
Chemical Reactivity ◽  
Trna Synthetase ◽  
Amino Acid Side Chain ◽  
Standard Genetic Code ◽  
Last Universal Common Ancestor ◽  
Trna Synthetases ◽  
Universal Common Ancestor

The twenty amino acids in the standard genetic code were fixed prior to the last universal common ancestor (LUCA). Factors that guided this selection included establishment of pathways for their metabolic synthesis and the concomitant fixation of substrate specificities in the emerging aminoacyl-tRNA synthetases (aaRSs). In this conceptual paper, we propose that the chemical reactivity of some amino acid side chains (e.g., lysine, cysteine, homocysteine, ornithine, homoserine, and selenocysteine) delayed or prohibited the emergence of the corresponding aaRSs and helped define the amino acids in the standard genetic code. We also consider the possibility that amino acid chemistry delayed the emergence of the glutaminyl- and asparaginyl-tRNA synthetases, neither of which are ubiquitous in extant organisms. We argue that fundamental chemical principles played critical roles in fixation of some aspects of the genetic code pre- and post-LUCA.

scholarly journals Paradigms and paradoxes: decoding the “genetic code”

2020 ◽  
Vol 32 (1) ◽  
pp. 9-10
Author(s):  
Stephen John Knabel ◽  
Istvan Hargittai
Keyword(s):  
Amino Acid ◽  
Nucleotide Sequence ◽  
Genetic Code ◽  
Amino Acid Sequences ◽  
Dna And Rna ◽  
Genetic Codes

AbstractWe propose to keep the term “genetic code” to describe the nucleotide sequence in DNA and RNA and use the term “genetic cipher” to describe the key for decoding the genetic codes of DNA and RNA into the amino acid sequences of proteins.

scholarly journals Visualizing Amino Acid Substitutions in a Physicochemical Vector Space

2021 ◽  
Author(s):  
Louis R Nemzer
Keyword(s):  
Amino Acid ◽  
Genetic Code ◽  
Three Dimensional ◽  
Point Mutations ◽  
Amino Acid Substitutions ◽  
Standard Genetic Code ◽  
Single Nucleotide ◽  
Single Nucleotide Mutation ◽  
Nucleotide Mutation ◽  
Hereditary Disorders

A three-dimensional representation of the twenty proteinogenic amino acids in a physicochemical space is presented. Vectors corresponding to amino acid substitutions are classified based on whether they are accessible via a single-nucleotide mutation. It is shown that the standard genetic code establishes a "choice architecture" that permits nearly independent tuning of the properties related with size and those related with hydrophobicity. This work sheds light on the metarules of evolvability that may have shaped the standard genetic code to increase the probability that adaptive point mutations will be generated. An illustration of the usefulness of visualizing amino acid substitutions in a 3D physicochemical space is shown using data collected from the SARS-CoV-2 receptor binding domain. The substitutions most responsible for antibody escape are almost always inaccessible via single nucleotide mutation, and also change multiple properties concurrently. The results of this research can extend our understanding of certain hereditary disorders caused by point mutations, as well as guide the development of rational protein and vaccine design.

scholarly journals A computational screen for alternative genetic codes in over 250,000 genomes

eLife ◽  
2021 ◽  
Vol 10 ◽  
Author(s):  
Yekaterina Shulgina ◽  
Sean R Eddy
Keyword(s):  
Amino Acid ◽  
Genetic Code ◽  
Sequence Data ◽  
Gc Content ◽  
Low Frequency ◽  
Computational Method ◽  
Nucleotide Sequence Data ◽  
Genetic Codes ◽  
Evolutionary Trajectories ◽  
Sense Codon

The genetic code has been proposed to be a 'frozen accident', but the discovery of alternative genetic codes over the past four decades has shown that it can evolve to some degree. Since most examples were found anecdotally, it is difficult to draw general conclusions about the evolutionary trajectories of codon reassignment and why some codons are affected more frequently. To fill in the diversity of genetic codes, we developed Codetta, a computational method to predict the amino acid decoding of each codon from nucleotide sequence data. We surveyed the genetic code usage of over 250,000 bacterial and archaeal genome sequences in GenBank and discovered five new reassignments of arginine codons (AGG, CGA, and CGG), representing the first sense codon changes in bacteria. In a clade of uncultivated Bacilli, the reassignment of AGG to become the dominant methionine codon likely evolved by a change in the amino acid charging of an arginine tRNA. The reassignments of CGA and/or CGG were found in genomes with low GC content, an evolutionary force which likely helped drive these codons to low frequency and enable their reassignment.

Sign in / Sign up

Export Citation Format

Share Document