Analysis of Codon Usage Pattern and Predicted Gene Expression in Neurospora Crassa: A Novel in Silico Approach

2021 ◽  
Vol 11 (5) ◽  
Author(s):  
Sahoo Satyabrata
Keyword(s):  
Gene Expression ◽  
Codon Usage ◽  
Neurospora Crassa ◽  
Codon Bias ◽  
Genomic Structure ◽  
Regulation Of Gene Expression ◽  
Codon Usage Pattern ◽  
Mrna Levels ◽  
Usage Pattern ◽  
Promising Alternative

The codon usage pattern of genes has a key role in the gene expression and adaptive evolution of an organism. It is very significant in understanding the role of complex genomic structure in defining cell fates and regulating diverse biological functions. In this paper, we discussed that the codon usage index (CAIg) based on all protein-coding genes is a promising alternative to the Codon Adaptation Index (CAI). CAIg which measures the extent that a gene uses a subset of preferred codons relies exclusively on sequence features and is used as a good indicator of the strength of codon bias. A critical analysis of predicted highly expressed (PHE) genes in Neurospora crassa has been performed using codon usage index (CAIg) as a numerical estimator of gene expression level. Analyzing compositional properties and codon usage pattern of genes in Neurospora crassa, our study indicates that codon composition plays an important role in the regulation of gene expression. We found a systematic strong correlation between CAIg and CBI (codon bias index) or other expression-measures. Here, we show that codon usage index CAIg correlates well with both protein and mRNA levels; suggesting that codon usage is an important determinant of gene expression. Our study highlights the relationship between gene expression and compositional signature in relation to codon usage bias in Neurospora crassa and sets the ground for future investigation in eukaryotic biology.

scholarly journals Genome-wide codon usage pattern analysis reveals the correlation between codon usage bias and gene expression in Cuscuta australis

Genomics ◽  
2020 ◽  
Vol 112 (4) ◽  
pp. 2695-2702 ◽  
Author(s):  
Xu-Yuan Liu ◽  
Yu Li ◽  
Kai-Kai Ji ◽  
Jie Zhu ◽  
Peng Ling ◽  
...  
Keyword(s):  
Gene Expression ◽  
Codon Usage ◽  
Codon Usage Bias ◽  
Pattern Analysis ◽  
Codon Usage Pattern ◽  
Usage Pattern ◽  
Genome Wide

scholarly journals Codon usage pattern and predicted gene expression in Arabidopsis thaliana

Gene X ◽  
2019 ◽  
Vol 2 ◽  
pp. 100012 ◽  
Author(s):  
Satyabrata Sahoo ◽  
Shib Sankar Das ◽  
Ria Rakshit
Keyword(s):  
Gene Expression ◽  
Arabidopsis Thaliana ◽  
Codon Usage ◽  
Codon Usage Pattern ◽  
Usage Pattern

Codon usage pattern and prediction of gene expression level in Bungarus species

Gene ◽  
2017 ◽  
Vol 604 ◽  
pp. 48-60 ◽  
Author(s):  
Supriyo Chakraborty ◽  
Debojyoti Nag ◽  
Tarikul Huda Mazumder ◽  
Arif Uddin
Keyword(s):  
Gene Expression ◽  
Codon Usage ◽  
Gene Expression Level ◽  
Expression Level ◽  
Codon Usage Pattern ◽  
Usage Pattern

scholarly journals The optimization of mRNA expression level by its intrinsic properties—insights from codon usage pattern and structural stability of mRNA

2017 ◽  
Author(s):  
Manish P Victor ◽  
Debarun Acharya ◽  
Tina Begum ◽  
Tapash C Ghosh
Keyword(s):  
Gene Expression ◽  
Codon Usage ◽  
Mrna Expression ◽  
Mrna Stability ◽  
Codon Usage Bias ◽  
Codon Usage Pattern ◽  
Usage Pattern ◽  
Mrna Expression Level ◽  
Wild Type ◽  
Codon Composition

AbstractThe deviation from the uniform usage of synonymous codons is termed codon usage bias. A lot has been explained from the translational viewpoint for the observed phenomenon. To understand codon usage bias from the transcriptional perspective, we present here a holistic picture of this phenomenon in Saccharomyces cerevisiae, using both wild type and computationally mutated mRNAs. Although in wild type, both codon usage bias and mRNA stability positively regulate the gene (mRNA) expression level and are positively correlated with each other, any deviation from natural situation breaks such equilibrium. Computational examination of mRNA sequences with different sets of synonymous codon composition reveals that in mutated condition, the mRNA expression becomes reduced. Furthermore, constraining codon usage pattern to wild type and carrying out randomization of codons resulted in less stable mRNA. Further, we realized a Boolean Expression explaining the gene expression under various conditions of bias and mRNA stability. These studies suggest that selection of codons is favored for regulation of gene expression through potential formation of messenger RNA structures which contribute to folding stability. The naturally occurring codon composition is responsible for optimization of gene expression, and under such composition, the mRNA structure having highest stability is selected by nature.

Codon replacement in the PGK1 gene of Saccharomyces cerevisiae: experimental approach to study the role of biased codon usage in gene expression

1987 ◽  
Vol 7 (8) ◽  
pp. 2914-2924
Author(s):  
A Hoekema ◽  
R A Kastelein ◽  
M Vasser ◽  
H A de Boer
Keyword(s):  
Gene Expression ◽  
Saccharomyces Cerevisiae ◽  
Steady State ◽  
Codon Usage ◽  
Experimental Approach ◽  
Mrna Translation ◽  
Yeast Cells ◽  
Expression Level ◽  
Start Codon ◽  
Mrna Levels

The coding sequences of genes in the yeast Saccharomyces cerevisiae show a preference for 25 of the 61 possible coding triplets. The degree of this biased codon usage in each gene is positively correlated to its expression level. Highly expressed genes use these 25 major codons almost exclusively. As an experimental approach to studying biased codon usage and its possible role in modulating gene expression, systematic codon replacements were carried out in the highly expressed PGK1 gene. The expression of phosphoglycerate kinase (PGK) was studied both on a high-copy-number plasmid and as a single copy gene integrated into the chromosome. Replacing an increasing number (up to 39% of all codons) of major codons with synonymous minor ones at the 5' end of the coding sequence caused a dramatic decline of the expression level. The PGK protein levels dropped 10-fold. The steady-state mRNA levels also declined, but to a lesser extent (threefold). Our data indicate that this reduction in mRNA levels was due to destabilization caused by impaired translation elongation at the minor codons. By preventing translation of the PGK mRNAs by the introduction of a stop codon 3' and adjacent to the start codon, the steady-state mRNA levels decreased dramatically. We conclude that efficient mRNA translation is required for maintaining mRNA stability in S. cerevisiae. These findings have important implications for the study of the expression of heterologous genes in yeast cells.

scholarly journals Analysis of codon usage bias of classical swine fever virus

2021 ◽  
pp. 1450-1458
Author(s):  
Sharanagouda S. Patil ◽  
Uma Bharathi Indrabalan ◽  
Kuralayanapalya Puttahonnappa Suresh ◽  
Bibek Ranjan Shome
Keyword(s):  
Codon Usage ◽  
Codon Usage Bias ◽  
Synonymous Codon ◽  
Principal Component ◽  
Infectious Agent ◽  
Classical Swine Fever ◽  
Economic Loss ◽  
Codon Usage Pattern ◽  
Usage Pattern ◽  
Coding Regions

Background and Aim: Classical swine fever (CSF), caused by CSF virus (CSFV), is a highly contagious disease in pigs causing 100% mortality in susceptible adult pigs and piglets. High mortality rate in pigs causes huge economic loss to pig farmers. CSFV has a positive-sense RNA genome of 12.3 kb in length flanked by untranslated regions at 5' and 3' end. The genome codes for a large polyprotein of 3900 amino acids coding for 11 viral proteins. The 1300 codons in the polyprotein are coded by different combinations of three nucleotides which help the infectious agent to evolve itself and adapt to the host environment. This study performed and employed various methods/techniques to estimate the changes occurring in the process of CSFV evolution by analyzing the codon usage pattern. Materials and Methods: The evolution of viruses is widely studied by analyzing their nucleotides and coding regions/ codons using various methods. A total of 115 complete coding regions of CSFVs including one complete genome from our laboratory (MH734359) were included in this study and analysis was carried out using various methods in estimating codon usage bias and evolution. This study elaborates on the factors that influence the codon usage pattern. Results: The effective number of codons (ENC) and relative synonymous codon usage showed the presence of codon usage bias. The mononucleotide (A) has a higher frequency compared to the other mononucleotides (G, C, and T). The dinucleotides CG and CC are underrepresented and overrepresented. The codons CGT was underrepresented and AGG was overrepresented. The codon adaptation index value of 0.71 was obtained indicating that there is a similarity in the codon usage bias. The principal component analysis, ENC-plot, Neutrality plot, and Parity Rule 2 plot produced in this article indicate that the CSFV is influenced by the codon usage bias. The mutational pressure and natural selection are the important factors that influence the codon usage bias. Conclusion: The study provides useful information on the codon usage analysis of CSFV and may be utilized to understand the host adaptation to virus environment and its evolution. Further, such findings help in new gene discovery, design of primers/probes, design of transgenes, determination of the origin of species, prediction of gene expression level, and gene function of CSFV. To the best of our knowledge, this is the first study on codon usage bias involving such a large number of complete CSFVs including one sequence of CSFV from India.

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