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7 results for “Codon usage bias”
Data from: Antagonistic relationships between intron content and codon usage bias of genes in three mosquito species: functional and evolutionary implications
Genome biology of mosquitoes holds potential in developing knowledge-based control strategies against vector-borne diseases such as malaria, dengue, West Nile Virus and others. Although the genomes of three major vector mosquitoes have been sequenced, attempts to elucidate the relationship between intron and codon usage bias across species in phylogenetic contexts are limited. In this study, we investigated the relationship between intron content and codon bias of orthologous genes among three vector mosquito species. We found an antagonistic relationship between codon usage bias and the intron number of genes in each mosquito species. The pattern is further evident among the intronless and the intron-containing orthologous genes associated with either low or high codon bias among the three species. Furthermore, the co-variance between codon bias and intron number has a directional component associated with the species phylogeny when compared with other non-mosquito insects. By applying a maximum likelihood based continuous regression method, we show that codon bias and intron content of genes vary among the insects in a phylogeny dependent manner but with no evidence of adaptive radiation or species-specific adaptation. We discuss the functional and evolutionary significance of antagonistic relationships between intron content and codon bias.
Data from: Mitochondrial phylogenomics of early land plants: mitigating the effects of saturation, compositional heterogeneity, and codon-usage bias
Phylogenetic analyses using concatenation of genomic-scale data have been seen as the panacea to resolving the incongruences among inferences from few or single genes. However, phylogenomics may also suffer from systematic errors, due to the, perhaps cumulative, effects of saturation, among-taxa compositional (GC content) heterogeneity, or codon-usage bias plaguing the individual nucleotide loci that are concatenated. Here we provide an example of how these factors affect the inferences of the phylogeny of early land plants based on mitochondrial genomic data. Mitochondrial sequences evolve slowly in plants and hence are thought to be suitable for resolving deep relationships. We newly assembled mitochondrial genomes from 20 bryophytes, complemented these with 40 other streptophytes (land plants plus algal outgroups), compiling a data matrix of 60 taxa and 41 mitochondrial genes. Homogeneous analyses of the concatenated nucleotide data resolve mosses as sister-group to the remaining land plants. However, the corresponding translated amino acid data support the liverwort lineage in this position. Both results receive weak to moderate support in maximum likelihood analyses, but strong support in Bayesian inferences. Tests of alternative hypotheses using either nucleotide or amino-acid data provide implicit support for the respective optimal topologies. By analyzing the nucleotide data, we found that the 3rd codon positions are more saturated than the 1st and 2nd codon positions, and excluding these from the analyses leads to a topology congruent with that obtained using amino-acid data. Further, we determined that land plant lineages differ in their nucleotide composition, and in their usage of synonymous codon variants. Composition heterogeneous Bayesian analyses employing a non-stationary model that accounts for variation in among-lineage composition, and inferences from degenerated nucleotide data that avoids the effects of synonymous mutations that underlie codon-usage bias, again recovered liverworts being sister to the remaining land plants. These analyses indicate that the discrepancy between the nucleotide-based and the amino acid-based trees is caused by the lineage specific, parallel compositional bias, or synonymous mutations driving codon-usage bias, as well as saturation in the 3rd codon positions. While genomic data may generate highly supported phylogenetic trees, these inferences may be artifacts. We suggest that phylogenomic analyses should assess the possible impact of potential biases through comparisons of protein coding gene data and their amino-acids translations, by analyzing data modeling compositional bias, and by excluding nucleotide noisy signals due to saturation or codon-usage bias. We caution against relying on any one presentation of the data (nucleotide or amino acid) or any one type of analysis even when analyzing large-scale data sets, no matter how well-supported, without fully exploring the effects of substitution models.
Variability in codon usage in Coronaviruses is mainly driven by mutational bias and selective constraints on CpG dinucleotide
<p>Supplementary Figures and Tables for the article called: " Variability in codon usage in Coronaviruses<em> </em>is mainly driven by mutational bias and selective constraints on CpG dinucleotide<sup>"</sup></p>
Data from: Mitochondrial phylogenomics of early land plants: mitigating the effects of saturation, compositional heterogeneity, and codon-usage bias
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Data from: Serine codon-usage bias in deep phylogenomics: pancrustacean relationships as a case study
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Data from: Antagonistic relationships between intron content and codon usage bias of genes in three mosquito species: functional and evolutionary implications
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Codon usage bias is correlated with gene expression levels in the fission yeast Schizosaccharomyces pombe.
GEO Series GSE13554. Schizosaccharomyces pombe. 1 samples. Type: Genome variation profiling by array.
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