scholarly journals Synonymous codon usage in Drosophila melanogaster: natural selection and translational accuracy.

Genetics ◽  
1994 ◽  
Vol 136 (3) ◽  
pp. 927-935 ◽  
Author(s):  
H Akashi
Keyword(s):  
Drosophila Melanogaster ◽  
Natural Selection ◽  
Amino Acid ◽  
Codon Usage ◽  
Protein Function ◽  
Synonymous Codon ◽  
Synonymous Codon Usage ◽  
Drosophila Virilis ◽  
Codon Preference ◽  
Translational Accuracy

Abstract I present evidence that natural selection biases synonymous codon usage to enhance the accuracy of protein synthesis in Drosophila melanogaster. Since the fitness cost of a translational misincorporation will depend on how the amino acid substitution affects protein function, selection for translational accuracy predicts an association between codon usage in DNA and functional constraint at the protein level. The frequency of preferred codons is significantly higher at codons conserved for amino acids than at nonconserved codons in 38 genes compared between D. melanogaster and Drosophila virilis or Drosophila pseudoobscura (Z = 5.93, P < 10(-6)). Preferred codon usage is also significantly higher in putative zinc-finger and homeodomain regions than in the rest of 28 D. melanogaster transcription factor encoding genes (Z = 8.38, P < 10(-6)). Mutational alternatives (within-gene differences in mutation rates, amino acid changes altering codon preference states, and doublet mutations at adjacent bases) do not appear to explain this association between synonymous codon usage and amino acid constraint.

scholarly journals Intragenomic variation in mutation biases causes underestimation of selection on synonymous codon usage

2021 ◽  
Author(s):  
Alexander L Cope ◽  
Premal Shah
Keyword(s):  
Population Genetics ◽  
Natural Selection ◽  
Codon Usage ◽  
Codon Bias ◽  
Synonymous Codon ◽  
Synonymous Codon Usage ◽  
Mutation Bias ◽  
Biased Gene Conversion ◽  
Intragenomic Variation ◽  
The Impact

Patterns of non-uniform usage of synonymous codons (codon bias) varies across genes in an organism and across species from all domains of life. The bias in codon usage is due to a combination of both non-adaptive (e.g. mutation biases) and adaptive (e.g. natural selection for translation efficiency/accuracy) evolutionary forces. Most population genetics models quantify the effects of mutation bias and selection on shaping codon usage patterns assuming a uniform mutation bias across the genome. However, mutation biases can vary both along and across chromosomes due to processes such as biased gene conversion, potentially obfuscating signals of translational selection. Moreover, estimates of variation in genomic mutation biases are often lacking for non-model organisms. Here, we combine an unsupervised learning method with a population genetics model of synonymous codon bias evolution to assess the impact of intragenomic variation in mutation bias on the strength and direction of natural selection on synonymous codon usage across 49 Saccharomycotina budding yeasts. We find that in the absence of a priori information, unsupervised learning approaches can be used to identify regions evolving under different mutation biases. We find that the impact of intragenomic variation in mutation bias varies widely, even among closely-related species. We show that the overall strength and direction of selection on codon usage can be underestimated by failing to account for intragenomic variation in mutation biases. Interestingly, genes falling into clusters identified by machine learning are also often physically clustered across chromosomes, consistent with processes such as biased gene conversion. Our results indicate the need for more nuanced models of sequence evolution that systematically incorporate the effects of variable mutation biases on codon frequencies.

Host Adaptation of Codon Usage in SARS-CoV-2 From Mammals Indicate Natural Selection

2021 ◽  
Author(s):  
Yanan Fu ◽  
Yanping Huang ◽  
Jingjing Rao ◽  
Feng Zeng ◽  
Ruiping Yang ◽  
...  
Keyword(s):  
Natural Selection ◽  
Codon Usage ◽  
Binding Affinity ◽  
Codon Bias ◽  
Synonymous Codon ◽  
Host Adaptation ◽  
Synonymous Codon Usage ◽  
Mutation Pressure ◽  
Usage Analysis ◽  
Human Receptor

Abstract The outbreak of COVID-19, caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infections, spread across hosts from humans to animals, transmitting particularly effectively in mink. How SARS-CoV-2 selects and evolves in the host, and the differences in the evolution of different animals are still unclear. To analysis the mutation and codon usage bias of SARS-CoV-2 in infected humans and animals. The SARS-CoV-2 sequence in mink (Mink-SARS2) and binding energy with receptor were calculated compared with human. The relative synonymous codon usage of viral encoded gene was analyzed to characterize the differences and the evolutionary characteristics. A synonymous codon usage analysis showed that SARS-CoV-2 is optimized to adapt in the animals in which it is currently reported, and all of the animals showed decreased adaptability relative to that of humans, except for mink. The neutrality plot showed that the effect of natural selection on different SARS-CoV-2 sequences is stronger than mutation pressure. A binding affinity analysis indicated that the spike protein of the SARS-CoV-2 variant in mink showed a greater preference for binding with the mink receptor ACE2 than with the human receptor, especially as the mutation Y453F and N501T in Mink-SARS2 lead to improvement of binding affinity for mink receptor. In summary, mutations Y453F and N501T in Mink-SARS2 lead to improvement of binding affinity with mink receptor, indicating possible natural selection and current host adaptation. Monitoring the variation and codon bias of SARS-CoV-2 provides a theoretical basis for tracing the epidemic, evolution and cross-species spread of SARS-CoV-2.

scholarly journals Gene expression level influences amino acid usage, but not codon usage, in the tsetse fly endosymbiont Wigglesworthia

Microbiology ◽  
2003 ◽  
Vol 149 (9) ◽  
pp. 2585-2596 ◽  
Author(s):  
Joshua T. Herbeck ◽  
Dennis P. Wall ◽  
Jennifer J. Wernegreen
Keyword(s):  
Amino Acid ◽  
Codon Usage ◽  
Genetic Drift ◽  
Synonymous Codon ◽  
Synonymous Codon Usage ◽  
Tsetse Fly ◽  
High Expression ◽  
Amino Acid Usage ◽  
Mutational Bias ◽  
Low Expression

Wigglesworthia glossinidia brevipalpis, the obligate bacterial endosymbiont of the tsetse fly Glossina brevipalpis, is characterized by extreme genome reduction and AT nucleotide composition bias. Here, multivariate statistical analyses are used to test the hypothesis that mutational bias and genetic drift shape synonymous codon usage and amino acid usage of Wigglesworthia. The results show that synonymous codon usage patterns vary little across the genome and do not distinguish genes of putative high and low expression levels, thus indicating a lack of translational selection. Extreme AT composition bias across the genome also drives relative amino acid usage, but predicted high-expression genes (ribosomal proteins and chaperonins) use GC-rich amino acids more frequently than do low-expression genes. The levels and configuration of amino acid differences between Wigglesworthia and Escherichia coli were compared to test the hypothesis that the relatively GC-rich amino acid profiles of high-expression genes reflect greater amino acid conservation at these loci. This hypothesis is supported by reduced levels of protein divergence at predicted high-expression Wigglesworthia genes and similar configurations of amino acid changes across expression categories. Combined, the results suggest that codon and amino acid usage in the Wigglesworthia genome reflect a strong AT mutational bias and elevated levels of genetic drift, consistent with expected effects of an endosymbiotic lifestyle and repeated population bottlenecks. However, these impacts of mutation and drift are apparently attenuated by selection on amino acid composition at high-expression genes.

scholarly journals Natural Selection Determines Synonymous Codon Usage Patterns of Neuraminidase (NA) Gene of the Different Subtypes of Influenza A Virus in Canada

2014 ◽  
Vol 2014 ◽  
pp. 1-7 ◽  
Author(s):  
Youhua Chen
Keyword(s):  
Natural Selection ◽  
Codon Usage ◽  
Influenza A Virus ◽  
Influenza A ◽  
Synonymous Codon ◽  
Phylogenetic Signal ◽  
Synonymous Codon Usage ◽  
Usage Patterns ◽  
Na Sequences ◽  
Na Gene

Synonymous codon usage patterns of neuraminidase (NA) gene of 64 subtypes (one is a mixed subtype) of influenza A virus found in Canada were analyzed. In total, 1422 NA sequences were analyzed. Among the subtypes, H1N1 is the prevailing one with 516 NCBI accession records, followed by H3N2, H3N8, and H4N6. The year of 2009 has the highest report records for the NA sequences in Canada, corresponding to the 2009 pandemic event. Correspondence analysis on the RSCU values of the four major subtypes showed that they had distinct clustering patterns in the two-dimensional scatter plot, indicating that different subtypes of IAV utilized different preferential codons. This subtype clustering pattern implied the important influence of natural selection, which could be further evidenced by an extremely flattened regression line in the neutrality plot (GC12 versus G3s plot) and a significant phylogenetic signal on the distribution of different subtypes in the clades of the phylogenetic tree (λ statistic). In conclusion, different subtypes of IAV showed an evolutionary differentiation on choosing different optimal codons. Natural selection played a deterministic role to structure IAV codon usage patterns in Canada.

scholarly journals Construction of anti-codon table of the plant kingdom and evolution of tRNA selenocysteine (tRNASec)

BMC Genomics ◽  
2020 ◽  
Vol 21 (1) ◽  
Author(s):  
Tapan Kumar Mohanta ◽  
Awdhesh Kumar Mishra ◽  
Abeer Hashem ◽  
Elsayed Fathi Abd_Allah ◽  
Abdul Latif Khan ◽  
...  
Keyword(s):  
Amino Acids ◽  
Zea Mays ◽  
Amino Acid ◽  
Codon Usage ◽  
Synonymous Codon ◽  
Protein Translation ◽  
Synonymous Codon Usage ◽  
Papaver Somniferum ◽  
Plant Kingdom ◽  
Ostreococcus Tauri

Abstract Background The tRNAs act as a bridge between the coding mRNA and incoming amino acids during protein translation. The anti-codon of tRNA recognizes the codon of the mRNA and deliver the amino acid into the protein translation chain. However, we did not know about the exact abundance of anti-codons in the genome and whether the frequency of abundance remains same across the plant lineage or not. Results Therefore, we analysed the tRNAnome of 128 plant species and reported an anti-codon table of the plant kingdom. We found that CAU anti-codon of tRNAMet has highest (5.039%) whereas GCG anti-codon of tRNAArg has lowest (0.004%) abundance. However, when we compared the anti-codon frequencies according to the tRNA isotypes, we found tRNALeu (7.808%) has highest abundance followed by tRNASer (7.668%) and tRNAGly (7.523%). Similarly, suppressor tRNA (0.036%) has lowest abundance followed by tRNASec (0.066%) and tRNAHis (2.109). The genome of Ipomoea nil, Papaver somniferum, and Zea mays encoded the highest number of anti-codons (isoacceptor) at 59 each whereas the genome of Ostreococcus tauri was found to encode only 18 isoacceptors. The tRNASec genes undergone losses more frequently than duplication and we found that tRNASec showed anti-codon switch during the course of evolution. Conclusion The anti-codon table of the plant tRNA will enable us to understand the synonymous codon usage of the plant kingdom and can be very helpful to understand which codon is preferred over other during the translation.

scholarly journals Comprehensive Analysis of Codon Usage on Porcine Astrovirus

Viruses ◽  
2020 ◽  
Vol 12 (9) ◽  
pp. 991
Author(s):  
Huiguang Wu ◽  
Zhengyu Bao ◽  
Chunxiao Mou ◽  
Zhenhai Chen ◽  
Jingwen Zhao
Keyword(s):  
Natural Selection ◽  
Codon Usage ◽  
Synonymous Codon ◽  
Similarity Index ◽  
Synonymous Codon Usage ◽  
Codon Usage Pattern ◽  
Broad Host Range ◽  
Mutation Pressure ◽  
Porcine Astrovirus ◽  
Usage Patterns

Porcine astrovirus (PAstV), associated with mild diarrhea and neurological disease, is transmitted in pig farms worldwide. The purpose of this study is to elucidate the main factors affecting codon usage to PAstVs. Phylogenetic analysis showed that the subtype PAstV-5 sat at the bottom of phylogenetic tree, followed by PAstV-3, PAstV-1, PAstV-2, and PAstV-4, indicating that the five existing subtypes (PAstV1-PAstV5) may be formed by multiple differentiations of PAstV ancestors. A codon usage bias was found in the PAstVs-2,3,4,5 from the analyses of effective number of codons (ENC) and relative synonymous codon usage (RSCU). Nucleotides A/U are more frequently used than nucleotides C/G in the genome CDSs of the PAstVs-3,4,5. Codon usage patterns of PAstV-5 are dominated by mutation pressure and natural selection, while natural selection is the main evolutionary force that affects the codon usage pattern of PAstVs-2,3,4. The analyses of codon adaptation index (CAI), relative codon deoptimization index (RCDI), and similarity index (SiD) showed the codon usage similarities between the PAstV and animals might contribute to the broad host range and the cross-species transmission of astrovirus. Our results provide insight into understanding the PAstV evolution and codon usage patterns.

scholarly journals Synonymous Codon Usages as an Evolutionary Dynamic for Chlamydiaceae

2018 ◽  
Vol 19 (12) ◽  
pp. 4010
Author(s):  
Zhaocai Li ◽  
Wen Hu ◽  
Xiaoan Cao ◽  
Ping Liu ◽  
Youjun Shang ◽  
...  
Keyword(s):  
Amino Acid ◽  
Codon Usage ◽  
Synonymous Codon ◽  
Family Members ◽  
Synonymous Codon Usage ◽  
Amino Acid Usage ◽  
Codon Usage Pattern ◽  
Evolutionary Trend ◽  
Mutation Pressure ◽  
Wide Range

The family of Chlamydiaceae contains a group of obligate intracellular bacteria that can infect a wide range of hosts. The evolutionary trend of members in this family is a hot topic, which benefits our understanding of the cross-infection of these pathogens. In this study, 14 whole genomes of 12 Chlamydia species were used to investigate the nucleotide, codon, and amino acid usage bias by synonymous codon usage value and information entropy method. The results showed that all the studied Chlamydia spp. had A/T rich genes with over-represented A or T at the third positions and G or C under-represented at these positions, suggesting that nucleotide usages influenced synonymous codon usages. The overall codon usage trend from synonymous codon usage variations divides the Chlamydia spp. into four separate clusters, while amino acid usage divides the Chlamydia spp. into two clusters with some exceptions, which reflected the genetic diversity of the Chlamydiaceae family members. The overall codon usage pattern represented by the effective number of codons (ENC) was significantly positively correlated to gene GC3 content. A negative correlation exists between ENC and the codon adaptation index for some Chlamydia species. These results suggested that mutation pressure caused by nucleotide composition constraint played an important role in shaping synonymous codon usage patterns. Furthermore, codon usage of T3ss and Pmps gene families adapted to that of the corresponding genome. Taken together, analyses help our understanding of evolutionary interactions between nucleotide, synonymous codon, and amino acid usages in genes of Chlamydiaceae family members.

scholarly journals Construction of Anti-codon Table of the Plant Kingdom and Evolution of tRNA Selenocysteine (tRNAsec)

2020 ◽  
Author(s):  
Tapan Kumar Kumar Mohanta ◽  
Awdhesh Kumar Mishra ◽  
Abeer Hashem ◽  
Elsayed Fathi Abd_Allah ◽  
Ahmed Al-Harrasi
Keyword(s):  
Amino Acids ◽  
Zea Mays ◽  
Amino Acid ◽  
Codon Usage ◽  
Synonymous Codon ◽  
Protein Translation ◽  
Synonymous Codon Usage ◽  
Papaver Somniferum ◽  
Plant Kingdom ◽  
Ostreococcus Tauri

Abstract Background The tRNAs act as a bridge between the coding mRNA and incoming amino acids during protein translation. The anti-codon of tRNA recognizes the codon of the mRNA and deliver the amino acid into the protein translation chain. However, we did not know about the exact abundance of anti-codons in the genome and whether the frequency of abundance remains same across the plant lineage or not. Results Therefore, we analysed the tRNAnome of 128 species and reported an anti-codon table of the plant kingdom. We found that CAU anti-codon of tRNAMet has highest (5.039%) whereas CGC anti-codon of tRNAArg has lowest (0.004%) abundance. However, when we compared the anti-codon frequencies according to the tRNA isotypes, we found tRNALeu (7.808%) has highest abundance followed by tRNASer (7.668%) and tRNAGly (7.523%). Similarly, suppressor tRNA (0.036%) has lowest abundance followed by tRNASec (0.066%) and tRNAHis (2.109). The genome of Ipomoea nil, Papaver somniferum, and Zea mays encoded the highest number of anti-codons at 59 each whereas the genome of Ostreococcus tauri was found to encode only 18 isoacceptors. The tRNASec genes undergone losses more frequently than duplication and it has undergone anti-codon switch during the course of evolution. Conclusion The anti-codon table of the plant tRNA will enable us to understand the synonymous codon usage of the plant kingdom and can be very helpful to understand which codon is preferred over other during the translation.

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