scholarly journals Large-Scale Genomic Analysis of Codon Usage in Dengue Virus and Evaluation of Its Phylogenetic Dependence

2014 ◽  
Vol 2014 ◽  
pp. 1-9 ◽  
Author(s):  
Edgar E. Lara-Ramírez ◽  
Ma Isabel Salazar ◽  
María de Jesús López-López ◽  
Juan Santiago Salas-Benito ◽  
Alejandro Sánchez-Varela ◽  
...  
Keyword(s):  
Dengue Virus ◽  
Codon Usage ◽  
Large Scale ◽  
Synonymous Codon ◽  
Geographic Origin ◽  
Gc Content ◽  
Mutational Bias ◽  
Stabilizing Selection ◽  
Nucleotide Position ◽  
Clustering Patterns

The increasing number of dengue virus (DENV) genome sequences available allows identifying the contributing factors to DENV evolution. In the present study, the codon usage in serotypes 1–4 (DENV1–4) has been explored for 3047 sequenced genomes using different statistics methods. The correlation analysis of total GC content (GC) with GC content at the three nucleotide positions of codons (GC1, GC2, and GC3) as well as the effective number of codons (ENC, ENCp) versus GC3 plots revealed mutational bias and purifying selection pressures as the major forces influencing the codon usage, but with distinct pressure on specific nucleotide position in the codon. The correspondence analysis (CA) and clustering analysis on relative synonymous codon usage (RSCU) within each serotype showed similar clustering patterns to the phylogenetic analysis of nucleotide sequences for DENV1–4. These clustering patterns are strongly related to the virus geographic origin. The phylogenetic dependence analysis also suggests that stabilizing selection acts on the codon usage bias. Our analysis of a large scale reveals new feature on DENV genomic evolution.

scholarly journals Analysis of codon usage bias reveals optimal codons in Elaeis guineensis

2020 ◽  
Vol 21 (11) ◽  
Author(s):  
Redi Aditama ◽  
Zulfikar Achmad Tanjung ◽  
Widyartini Made Sudania ◽  
Yogo Adhi Nugroho ◽  
Condro Utomo ◽  
...  
Keyword(s):  
Codon Usage ◽  
Oil Palm ◽  
Codon Usage Bias ◽  
Elaeis Guineensis ◽  
Synonymous Codon ◽  
Gc Content ◽  
Synonymous Codon Usage ◽  
Mutational Bias ◽  
Optimal Codons ◽  
Good Ability

Abstract. Aditama R, Tanjung ZA, Sudania WM, Nugroho YA, Utomo C, Liwang T. 2020. Analysis of codon usage bias reveals optimal codons in Elaeis guineensis. Biodiversitas 21: 5331-5337. Codon usage bias of oil palm genome was reported employing several indices, including GC content, relative synonymous codon usage (RSCU), the effective number of codons (ENC), and codon adaptation index (CAI). Unimodal distribution of GC content was observed and matched with non-grass monocots characteristics. Correspondence analysis (COA) on synonymous codon usage bias showed that the main axis was strongly driven by GC content. The ENC and neutrality plot of oil palm genes indicating that natural selection played more vital role compared to mutational bias on shaping codon usage bias. A positive correlation between calculated CAI and experimental data of oil palm gene expression was detected indicating good ability of this index. Finally, eighteen codons were defined as “optimal codons” that may provide a useful reference for heterogeneous expression and genome editing studies.

scholarly journals Recombination, meiotic expression and human codon usage

eLife ◽  
2017 ◽  
Vol 6 ◽  
Author(s):  
Fanny Pouyet ◽  
Dominique Mouchiroud ◽  
Laurent Duret ◽  
Marie Sémon
Keyword(s):  
Codon Usage ◽  
Large Scale ◽  
Synonymous Codon ◽  
Gc Content ◽  
Synonymous Codon Usage ◽  
Translation Efficiency ◽  
Functional Categories ◽  
Human Genes ◽  
Biased Gene Conversion ◽  
Mammalian Genomes

Synonymous codon usage (SCU) varies widely among human genes. In particular, genes involved in different functional categories display a distinct codon usage, which was interpreted as evidence that SCU is adaptively constrained to optimize translation efficiency in distinct cellular states. We demonstrate here that SCU is not driven by constraints on tRNA abundance, but by large-scale variation in GC-content, caused by meiotic recombination, via the non-adaptive process of GC-biased gene conversion (gBGC). Expression in meiotic cells is associated with a strong decrease in recombination within genes. Differences in SCU among functional categories reflect differences in levels of meiotic transcription, which is linked to variation in recombination and therefore in gBGC. Overall, the gBGC model explains 70% of the variance in SCU among genes. We argue that the strong heterogeneity of SCU induced by gBGC in mammalian genomes precludes any optimization of the tRNA pool to the demand in codon usage.

scholarly journals Biased gene conversion drives codon usage in human and precludes selection on translation efficiency

2016 ◽  
Author(s):  
Fanny Pouyet ◽  
Dominique Mouchiroud ◽  
Laurent Duret ◽  
Marie Sémon
Keyword(s):  
Gene Expression ◽  
Codon Usage ◽  
Gene Conversion ◽  
Large Scale ◽  
Synonymous Codon ◽  
Gc Content ◽  
Intragenic Recombination ◽  
Translation Efficiency ◽  
Functional Categories ◽  
Biased Gene Conversion

AbstractIn humans, as in other mammals, synonymous codon usage (SCU) varies widely among genes. In particular, genes involved in cell differentiation or in proliferation display a distinct codon usage, suggesting that SCU is adaptively constrained to optimize translation efficiency in distinct cellular states. However, in mammals, SCU is known to correlate with large-scale fluctuations of GC-content along chromosomes, caused by meiotic recombination, via the non-adaptive process of GC-biased gene conversion (gBGC). To disentangle and to quantify the different factors driving SCU in humans, we analyzed the relationships between functional categories, base composition, recombination, and gene expression. We first demonstrate that SCU is predominantly driven by large-scale variation in GC-content and is not linked to constraints on tRNA abundance, which excludes an effect of translational selection. In agreement with the gBGC model, we show that differences in SCU among functional categories are explained by variation in intragenic recombination rate, which, in turn, is strongly negatively correlated to gene expression levels during meiosis. Our results indicate that variation in SCU among functional categories (including variation associated to differentiation or proliferation) result from differences in levels of meiotic transcription, which interferes with the formation of crossovers and thereby affects gBGC intensity within genes. Overall, the gBGC model explains 70% of the variance in SCU among genes. We argue that the strong heterogeneity of SCU induced by gBGC in mammalian genomes precludes any optimization of the tRNA pool to the demand in codon usage.

scholarly journals Analysis of Codon Usage Patterns in Toxic DinoflagellateAlexandrium tamarensethrough Expressed Sequence Tag Data

2010 ◽  
Vol 2010 ◽  
pp. 1-9 ◽  
Author(s):  
Yi-Yuong Hsiao ◽  
Chorng-Horng Lin ◽  
Jong-Kang Liu ◽  
Tit-Yee Wong ◽  
Jimmy Kuo
Keyword(s):  
Codon Usage ◽  
Expressed Sequence Tag ◽  
Synonymous Codon ◽  
Gc Content ◽  
Synonymous Codon Usage ◽  
Mutational Bias ◽  
Protein Coding ◽  
Reading Frame ◽  
Prediction Program ◽  
Expressed Sequence

We have analyzed synonymous codon usage in the genome ofA. tamarenseCCMP 1598 for protein-coding sequences from 10865 expressed sequence tags (ESTs). We reconstructed a total of 4284 unigenes, including 74 ribosomal protein and 40 plastid-related genes, from ESTs using FrameDP, an open reading frame (ORF) prediction program. Correspondence analysis ofA. tamarensegenes based on codon usage showed that the GC content at the third base of synonymous codons (GC3s) was strongly correlated with the first axis (r=0.93withP<.001). On the other hand, the second axis discriminated between presumed highly and low expressed genes, with expression levels being confirmed by the analysis of EST frequencies (r=−0.89withP<.001). Our results suggest that mutational bias is the major factor in shaping codon usage inA. tamarensegenome, but other factors, namely, translational selection, hydropathy, and aromaticity, also appear to influence the selection of codon usage in this species.

scholarly journals Codon usage bias and environmental adaptation in microbial organisms

2021 ◽  
Author(s):  
Davide Arella ◽  
Maddalena Dilucca ◽  
Andrea Giansanti
Keyword(s):  
Codon Usage ◽  
Codon Usage Bias ◽  
Pathogenic Bacteria ◽  
Large Scale ◽  
Synonymous Codon ◽  
Principal Component ◽  
Gene Copy ◽  
Phenotypic Traits ◽  
Translational Efficiency ◽  
Microbial Organisms

AbstractIn each genome, synonymous codons are used with different frequencies; this general phenomenon is known as codon usage bias. It has been previously recognised that codon usage bias could affect the cellular fitness and might be associated with the ecology of microbial organisms. In this exploratory study, we investigated the relationship between codon usage bias, lifestyles (thermophiles vs. mesophiles; pathogenic vs. non-pathogenic; halophilic vs. non-halophilic; aerobic vs. anaerobic and facultative) and habitats (aquatic, terrestrial, host-associated, specialised, multiple) of 615 microbial organisms (544 bacteria and 71 archaea). Principal component analysis revealed that species with given phenotypic traits and living in similar environmental conditions have similar codon preferences, as represented by the relative synonymous codon usage (RSCU) index, and similar spectra of tRNA availability, as gauged by the tRNA gene copy number (tGCN). Moreover, by measuring the average tRNA adaptation index (tAI) for each genome, an index that can be associated with translational efficiency, we observed that organisms able to live in multiple habitats, including facultative organisms, mesophiles and pathogenic bacteria, are characterised by a reduced translational efficiency, consistently with their need to adapt to different environments. Our results show that synonymous codon choices might be under strong translational selection, which modulates the choice of the codons to differently match tRNA availability, depending on the organism’s lifestyle needs. To our knowledge, this is the first large-scale study that examines the role of codon bias and translational efficiency in the adaptation of microbial organisms to the environment in which they live.

Analysis of codon usage patterns of the chloroplast genomes in the Poaceae family

2012 ◽  
Vol 60 (5) ◽  
pp. 461 ◽  
Author(s):  
Yuerong Zhang ◽  
Xiaojun Nie ◽  
Xiaoou Jia ◽  
Cunzhen Zhao ◽  
Siddanagouda S. Biradar ◽  
...  
Keyword(s):  
Codon Usage ◽  
Synonymous Codon ◽  
Synonymous Codon Usage ◽  
Mutational Bias ◽  
Plot Analysis ◽  
Optimal Codons ◽  
Chloroplast Genomes ◽  
Usage Patterns ◽  
Poaceae Family ◽  
High Representation

Codon usage patterns of 23 Poaceae chloroplast genomes were analysed in this study. Neutrality analysis indicated that the codon usage patterns have significant correlations with GC12 and GC3 and also showed strong bias towards a high representation of NNA and NNT codons. The Nc-plot showed that although a large proportion of points follow the parabolic line of trajectory, several genes with low ENc values lie below the expected curve, suggesting that mutational bias played a major role in the codon biology of the Poaceae chloroplast genome. Parity Rule 2 plot analysis showed that T was used more frequently than A in all the genomes. Correspondence analysis of relative synonymous codon usage indicated that the first axis explained only a partial amount of variation of codon usage. Furthermore, the gene length and expression level were also found to drive codon usage variation. These findings revealed that besides natural selection, other factors might also exert some influences in shaping the codon usage bias in Poaceae chloroplast genomes. The optimal codons of these 23 genomes were also identified in this study.

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 In-depth analysis of amino acid and nucleotide sequences of Hsp60: how conserved is this protein?

2021 ◽  
Author(s):  
Tatyana Tikhomirova ◽  
Maxim Matyunin ◽  
Mikhail Lobanov ◽  
Oxana Galzitskaya
Keyword(s):  
Amino Acid ◽  
Codon Usage ◽  
Synonymous Codon ◽  
Dominant Role ◽  
Gc Content ◽  
Nucleotide Composition ◽  
Nucleotide Sequences ◽  
Amino Acid Sequences ◽  
Mutational Pressure ◽  
Depth Analysis

Chaperonin Hsp60, as a protein found in all organisms, is of great interest in medicine, since it is present in many tissues and can be used both as a drug and as an object of targeted therapy. Hence, Hsp60 deserves a fundamental comparative analysis to assess its evolutionary characteristics. It was found that the percent identity of Hsp60 amino acid sequences both within and between phyla was not high enough to identify Hsp60s as highly conserved proteins. In turn, their amino acid composition remained relatively constant. At the same time, the analysis of the nucleotide sequences showed that GC content in the Hsp60 genes was comparable to or greater than the genomic values, which may indicate a high resistance to mutations due to tight control of the nucleotide composition by DNA repair systems. Natural selection plays a dominant role in the evolution of Hsp60 genes. The degree of mutational pressure affecting the Hsp60 genes is quite low, and its direction does not depend on taxonomy. Interestingly, for the Hsp60 genes from Chordata, Arthropoda, and Proteobacteria the exact direction of mutational pressure could not be determined. However, upon further division into classes, it was found that the direction of the mutational pressure for Hsp60 genes from Fish differs from that for other chordates. The direction of the mutational pressure affects the synonymous codon usage bias. The number of high and low represented codons increases with increasing GC content, which can improve codon usage.

scholarly journals Selection on silent sites in the rodent H3 histone gene family.

Genetics ◽  
1994 ◽  
Vol 138 (1) ◽  
pp. 191-202
Author(s):  
R W DeBry ◽  
W F Marzluff
Keyword(s):  
Codon Usage ◽  
Gene Conversion ◽  
Base Composition ◽  
Large Scale ◽  
Synonymous Codon ◽  
Histone Genes ◽  
Flanking Sequence ◽  
Effective Population ◽  
Mutation Pressure ◽  
Synonymous Codons

Abstract Selection promoting differential use of synonymous codons has been shown for several unicellular organisms and for Drosophila, but not for mammals. Selection coefficients operating on synonymous codons are likely to be extremely small, so that a very large effective population size is required for selection to overcome the effects of drift. In mammals, codon-usage bias is believed to be determined exclusively by mutation pressure, with differences between genes due to large-scale variation in base composition around the genome. The replication-dependent histone genes are expressed at extremely high levels during periods of DNA synthesis, and thus are among the most likely mammalian genes to be affected by selection on synonymous codon usage. We suggest that the extremely biased pattern of codon usage in the H3 genes is determined in part by selection. Silent site G + C content is much higher than expected based on flanking sequence G + C content, compared to other rodent genes with similar silent site base composition but lower levels of expression. Dinucleotide-mediated mutation bias does affect codon usage, but the affect is limited to the choice between G and C in some fourfold degenerate codons. Gene conversion between the two clusters of histone genes has not been an important force in the evolution of the H3 genes, but gene conversion appears to have had some effect within the cluster on chromosome 13.

scholarly journals Analysis of codon usage patterns in citrus based on coding sequence data

BMC Genomics ◽  
2020 ◽  
Vol 21 (S5) ◽  
Author(s):  
Zenan Shen ◽  
Zhimeng Gan ◽  
Fa Zhang ◽  
Xinyao Yi ◽  
Jinzhi Zhang ◽  
...  
Keyword(s):  
Cluster Analysis ◽  
Codon Usage ◽  
Synonymous Codon ◽  
Pearson Correlation ◽  
Evolutionary Relationship ◽  
Gc Content ◽  
Mrna Translation ◽  
Citrus Species ◽  
Analysis Workflow ◽  
Usage Analysis

Abstract Background Codon usage is an important determinant of gene expression levels that can help us understand codon biology, evolution and mRNA translation of species. The majority of previous codon usage studies have focused on single species analysis, although few studies have focused on the species within the same genus. In this study, we proposed a multispecies codon usage analysis workflow to reveal the genetic features and correlation in citrus. Results Our codon usage analysis workflow was based on the GC content, GC plot, and relative synonymous codon usage value of each codon in 8 citrus species. This approach allows for the comparison of codon usage bias of different citrus species. Next, we performed cluster analysis and obtained an overview of the relationship in citrus. However, traditional methods cannot conduct quantitative analysis of the correlation. To further estimate the correlation among the citrus species, we used the frequency profile to construct feature vectors of each species. The Pearson correlation coefficient was used to quantitatively analyze the distance among the citrus species. This result was consistent with the cluster analysis. Conclusions Our findings showed that the citrus species are conserved at the genetic level and demonstrated the existing genetic evolutionary relationship in citrus. This work provides new insights into codon biology and the evolution of citrus and other plant species.

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