Analysis of codon usage pattern and gene expression in Aspergillus fumigatus

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Research Paper 01/10/2021
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Analysis of codon usage pattern and gene expression in Aspergillus fumigatus

Satyabrata Sahoo
Int. J. Biosci. 19(4), 179-192, October 2021.
Copyright Statement: Copyright 2021; The Author(s).
License: CC BY-NC 4.0

Abstract

The codon usage pattern and its impact on gene expression has been investigated in protein coding genes of Aspergillus fumigatus. Multivariate statistical analysis has been used to analyze compositional properties and codon usage pattern of genes. The results suggest that the selection of translational efficiency due to natural selection is the major factor shaping the codon usage in Aspergillus fumigatus. Using different codon usage indices as numerical estimators of gene expression level, a critical analysis has been performed to predict highly expressed (PHE) genes in Aspergillus fumigatus. The codon usage indices correlate well with the gene expression data set stem from the transcriptional responses of the micro-organisms, suggesting that codon usage is an important determinant of gene expression. We found a systematic strong correlation between NC (effective number of codons) and different expression-measures. Our study highlights the relationship between gene expression and compositional signature in relation to the codon usage bias in Aspergillus fumigatus.

Abad A, Fernández-Molina JV, Bikandi J, Ramírez A, Margareto J, Sendino J, Hernando FL, Pontón J, Garaizar J, Rementeria A. 2010. What makes Aspergillus fumigatus a successful pathogen? Genes and molecules involved in invasive aspergillosis. Revista Iberoamericana de Micología 27(4), 155-82.

Akashi H. 1994. Synonymous codon usage in Drosophila melanogaster: natural selection and translational accuracy. Genetics 136(3), 927-935.

Bennetzen JL, Hall BD.1982. Codon selection in yeast. Journal of Biological Chemistry 257, 3026-3031.

Beauvais A, Latgé JP. 2001. Membrane and cell wall targets in Aspergillus fumigatus. Drug Resistance Updatates 4(1), 38-49.

Carbone A, Zinovyev A, Fékèps F. 2003. Codon adaptation index as a measure of dominating codon bias. Bioinformatics 19, 2005-2015.

Chen Y. 2013. A comparison of synonymous codon usage bias patterns in DNA and RNA virus genomes: quantifying the relative importance of mutational pressure and natural selection. BioMed Research International, Article Id: 406342. https://doi.org/ 10.1155/2013/406342.

Das S, Roymondal U, Sahoo S. 2009. Analyzing gene expression from relative codon usage bias in Yeast genome: a statistical significance and biological relevance. Gene 443, 121-131.

Das S, Roymondal U, Chottopadhyay B, Sahoo S. 2012. Gene expression profile of the cynobacterium synechocystis genome. Gene 497, 344-352.

Duret L, Mouchiroud D. 1999. Expression pattern and, surprisingly, gene length shape codon usage in Caenorhabditis, Drosophila, and Arabidopsis. . Proceedings of the National Academy of Science of the United States of America 96, 4482-4487.

Fox JM and Erill I. 2010. Relative Codon Adaptation: A Generic Codon Bias Index for Prediction of Gene Expression. DNA Research 17, 185-196.

Grantham R, Gautier C, Gouy M, Mercier R, Pave A. 1980. Codon catalog usage and the genome hypothesis. Nucleic Acids Research 8(1), r49-62.

Ikemura T. 1981. Correlation between the abundance of Escherichia coli transfer RNAs and the occurrence of the respective codons in its protein genes: a proposal for a synonymous codon choice that is optimal for the E. coli translational system. Journal Molecular Biology 151, 389-409.

Ikemura T. 1985. Codon usage and tRNA content in unicellular and multicellular organisms. Molecular Biology and Evolution 2(1), 13-34.

Khandia R, Singhal S, Kumar U, Ansari A, Tiwari R, Dhama K, Das J, Munjal A, Singh RK. 2019. Analysis of Nipah Virus Codon Usage and Adaptation to Hosts. Frontiers in Microbiology 10, 886.

Lobry JR, Gautier C. 1994. Hydrophobicity, expressivity and aromaticity are the major trends of amino-acid usage in 999 Escherichia coli chromosome-encoded genes. Nucleic Acids Research 22(15), 3174-3180.

Lytras S, Hughes J. 2020. Synonymous Dinucleotide Usage: A Codon-Aware Metric for Quantifying Dinucleotide Representation in Viruses. Viruses 12, 462.

Osawa S, Ohama T, Yamao F, Muto A, Jukes TH, Ozeki H, Umesono K. 1988. Directional mutation pressure and transfer RNA in choice of the third nucleotide of synonymous two-codon sets Proceedings of the National Academy of Science of the United States of America 85, 1124-1128.

Osherov N. 2007. The virulence of Aspergillus fumigatus. In: Kavanagh K, Ed. New Insights in Medical Mycology. Springer, Dordrecht p.185-212.

Roymondal U, Das S, Sahoo S. 2009. Predicting gene expression level from relative codon usage bias:an application to Escherichia coli genome. DNA Research 16, 13-30.

Salim HMW, Cavalcanti ARO. 2008. Factors Influencing Codon Usage Bias in Genomes. Journal of the Brazilian Chemical Society 19( 2), 257-262.

Sharp PM, Li WH. 1986. An evolutionary perspective on synonymous codon usage in unicellular organisms. Journal of Molecular Evolution 24, 28-38.

Sharp PM, Li WH. 1987. The codon adaptation index -a measure of directional synonymous codon usage bias and its potential applications. Nucleic Acids Research 15, 1281-1295.

Sharp PM, Stenico M, Peden JF, Lloyd AT. 1993. Codon usage – mutational bias, translational selection, or both. Biochemical Society Transaction 21(4), 835-841.

Sueoka N. 1988. Directional mutation pressure and neutral molecular evolution. Proceedings of the National Academy of Science of the United States of America 85, 2653-2657.

Supek F, Vlahovicek K. 2005. Comparison of codon usage measures and their applicability in prediction of microbial gene expressivity. BMC Bioinformatics 6, 182.

Tao X, Dafu D. 1998. The relationship between synonymous codon usage and protein structure. FEBS Letters 434, 93-96.

Tekaia F, Latgé JP. 2005. Aspergillus fumigatus: saprophyte or pathogen? Current Opinion Microbiology 8(4), 385-92.

Wright F. 1990. The ’effective number of codons’ used in a gene. Gene 87, 23-29.

Zhao F, Yu CH, Liu Y. 2017. Codon usage regulates protein structure and function by affecting translation elongation speed in Drosophila cells. Nucleic Acids Research 45(14), 8484-8492.

Zhou Z, Dang Y, Zhou M, Li L, Yu C-H, Fu J, Chen S, Liy Y. 2016.Codon usage is an important determinant of gene expression levels largely through its effects on transcription. Proceedings of the National Academy of Sciences of the United States of America 113(41), E6117-E6125.

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