Literature DB >> 30179657

The optimization of mRNA expression level by its intrinsic properties-Insights from codon usage pattern and structural stability of mRNA.

Manish P Victor1, Debarun Acharya2, Tina Begum3, Tapash C Ghosh4.   

Abstract

Codon usage bias (CUB) and mRNA structural stability are important intrinsic features of mRNA that correlate positively with mRNA expression level. However, it remains unclear whether the mRNA expression level can be regulated by adjusting these two parameters, influencing the mRNAs' structure. Here we explored the influence of CUB and mRNA structural stability on mRNA expression levels in Saccharomyces cerevisiae, using both wild type and computationally mutated mRNAs. Although in wild type, both CUB and mRNA stability positively regulate the mRNA expression level, any deviation from natural situation breaks such equilibrium. The naturally occurring codon composition is responsible for optimizing the mRNA expression, and under such composition, the mRNA structure having highest stability is selected by nature.
Copyright © 2018 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Codon adaptation index (CAI); Codon usage bias (CUB); Folding free energy; Gene expression; mRNA stability

Mesh:

Substances:

Year:  2018        PMID: 30179657     DOI: 10.1016/j.ygeno.2018.08.009

Source DB:  PubMed          Journal:  Genomics        ISSN: 0888-7543            Impact factor:   5.736


  7 in total

1.  Deciphering the co-adaptation of codon usage between respiratory coronaviruses and their human host uncovers candidate therapeutics for COVID-19.

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2.  Saccharomyces cerevisiae: First Steps to a Suitable Model System To Study the Function and Intracellular Transport of Human Kidney Anion Exchanger 1.

Authors:  Hasib A M Sarder; Xiaobing Li; Charlotta Funaya; Emmanuelle Cordat; Manfred J Schmitt; Björn Becker
Journal:  mSphere       Date:  2020-01-29       Impact factor: 4.389

3.  Comparative analysis of codon usage between Gossypium hirsutum and G. barbadense mitochondrial genomes.

Authors:  Zhiwen Chen; Jianguo Zhao; Jun Qiao; Weijia Li; Jingwei Li; Ran Xu; Haiyan Wang; Zehui Liu; Baoyan Xing; Jonathan F Wendel; Corrinne E Grover
Journal:  Mitochondrial DNA B Resour       Date:  2020-06-17       Impact factor: 0.658

4.  A novel silk fibroin protein-based fusion system for enhancing the expression of nanobodies in Escherichia coli.

Authors:  Jianli Yu; Yang Guo; Yi Gu; Xiying Fan; Fei Li; Haipeng Song; Rui Nian; Wenshuai Liu
Journal:  Appl Microbiol Biotechnol       Date:  2022-03-04       Impact factor: 4.813

Review 5.  Personalized pancreatic cancer therapy: from the perspective of mRNA vaccine.

Authors:  Xing Huang; Gang Zhang; Tian-Yu Tang; Xiang Gao; Ting-Bo Liang
Journal:  Mil Med Res       Date:  2022-10-13

6.  Bioinformatic Assessment of Factors Affecting the Correlation between Protein Abundance and Elongation Efficiency in Prokaryotes.

Authors:  Aleksandra E Korenskaia; Yury G Matushkin; Sergey A Lashin; Alexandra I Klimenko
Journal:  Int J Mol Sci       Date:  2022-10-09       Impact factor: 6.208

7.  Genome-wide analysis of codon usage in sesame (Sesamum indicum L.).

Authors:  Mebeaselassie Andargie; Zhu Congyi
Journal:  Heliyon       Date:  2021-12-29
  7 in total

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