Literature DB >> 36251120

Hepatitis B virus (HBV) codon adapts well to the gene expression profile of liver cancer: an evolutionary explanation for HBV's oncogenic role.

Chunpeng Yu1, Jian Li1, Qun Li1, Shuai Chang1, Yufeng Cao2, Hui Jiang2, Lingling Xie1, Gang Fan3, Song Wang4.   

Abstract

Due to the evolutionary arms race between hosts and viruses, viruses must adapt to host translation systems to rapidly synthesize viral proteins. Highly expressed genes in hosts have a codon bias related to tRNA abundance, the primary RNA translation rate determinant. We calculated the relative synonymous codon usage (RSCU) of three hepatitis viruses (HAV, HBV, and HCV), SARS-CoV-2, 30 human tissues, and hepatocellular carcinoma (HCC). After comparing RSCU between viruses and human tissues, we calculated the codon adaptation index (CAI) of viral and human genes. HBV and HCV showed the highest correlations with HCC and the normal liver, while SARS-CoV-2 had the strongest association with lungs. In addition, based on HCC RSCU, the CAI of HBV and HCV genes was the highest. HBV and HCV preferentially adapt to the tRNA pool in HCC, facilitating viral RNA translation. After an initial trigger, rapid HBV/HCV translation and replication may change normal liver cells into HCC cells. Our findings reveal a novel perspective on virus-mediated oncogenesis.
© 2022. Author(s).

Entities:  

Keywords:  codon adaptation index (CAI); evolutionary arms race; hepatitis viruses; hepatocellular carcinoma (HCC); relative synonymous codon usage (RSCU)

Year:  2022        PMID: 36251120      PMCID: PMC9574796          DOI: 10.1007/s12275-022-2371-x

Source DB:  PubMed          Journal:  J Microbiol        ISSN: 1225-8873            Impact factor:   2.902


  32 in total

1.  Solving the riddle of codon usage preferences: a test for translational selection.

Authors:  Mario dos Reis; Renos Savva; Lorenz Wernisch
Journal:  Nucleic Acids Res       Date:  2004-09-24       Impact factor: 16.971

2.  Wobble base-pairing slows in vivo translation elongation in metazoans.

Authors:  Michael Stadler; Andrew Fire
Journal:  RNA       Date:  2011-11-01       Impact factor: 4.942

3.  Large-scale omics data reveal the cooperation of mutation-circRNA-miRNA-target gene network in liver cancer oncogenesis.

Authors:  Jian Li; Chun-Peng Yu; Qun Li; Shuai Chang; Ling-Ling Xie; Song Wang
Journal:  Future Oncol       Date:  2021-10-22       Impact factor: 3.404

4.  Retrieving the deleterious mutations before extinction: genome-wide comparison of shared derived mutations in liver cancer and normal population.

Authors:  Shuai Chang; Jian Li; Qun Li; Chun-Peng Yu; Ling-Ling Xie; Song Wang
Journal:  Postgrad Med J       Date:  2021-04-09       Impact factor: 4.973

5.  Survey of the translation shifts in hepatocellular carcinoma with ribosome profiling.

Authors:  Qin Zou; Zhengtao Xiao; Rongyao Huang; Xin Wang; Xun Wang; Haitao Zhao; Xuerui Yang
Journal:  Theranostics       Date:  2019-05-31       Impact factor: 11.556

6.  Selection On synonymous Mutations Revealed by 1135 Genomes of Arabidopsis thaliana.

Authors:  Lai Wei
Journal:  Evol Bioinform Online       Date:  2020-04-13       Impact factor: 1.625

7.  Genome-wide transcriptome and translatome analyses reveal the role of protein extension and domestication in liver cancer oncogenesis.

Authors:  Nima Wang; Dalei Wang
Journal:  Mol Genet Genomics       Date:  2021-02-11       Impact factor: 3.291

8.  Synonymous mutations that regulate translation speed might play a non-negligible role in liver cancer development.

Authors:  Qun Li; Jian Li; Chun-Peng Yu; Shuai Chang; Ling-Ling Xie; Song Wang
Journal:  BMC Cancer       Date:  2021-04-09       Impact factor: 4.430

Review 9.  Innate and Adaptive Immunopathogeneses in Viral Hepatitis; Crucial Determinants of Hepatocellular Carcinoma.

Authors:  Marco Y W Zaki; Ahmed M Fathi; Samara Samir; Nardeen Eldafashi; Kerolis Y William; Maiiada Hassan Nazmy; Moustafa Fathy; Upkar S Gill; Shishir Shetty
Journal:  Cancers (Basel)       Date:  2022-02-28       Impact factor: 6.575

10.  Genome-wide expression changes mediated by A-to-I RNA editing correlate with hepatic oncogenesis.

Authors:  Jian Li; Qun Li; Chun-Peng Yu; Shuai Chang; Ling-Ling Xie; Song Wang
Journal:  Transl Cancer Res       Date:  2021-06       Impact factor: 1.241

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