Abstract

BackgroundCodon 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.ResultsOur 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.ConclusionsOur 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.

Highlights

  • Codon usage is an important determinant of gene expression levels that can help us understand codon biology, evolution and mRNA translation of species

  • For GC content at the first position, which obtained the highest value in citrus, Atlantia buxifolia showed the highest value at 50.70% and Citrus reticulata ‘Mangshan’ showed the lowest value at 50.51%

  • Among the 8 citrus species, the value of GC3 and GC3s of Atlantia buxifolia was the lowest (Atlantia buxifolia is known as Chinese box orange and was formerly named Severinia buxifolia) [21]

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Summary

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. We performed cluster analysis and obtained an overview of the relationship in citrus. Traditional methods cannot conduct quantitative analysis of the correlation. The Pearson correlation coefficient was used to quantitatively analyze the distance among the citrus species. This result was consistent with the cluster analysis

Conclusions
Background
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