Literature DB >> 30155714

The effects of codon usage on the formation of secondary structures of nucleocapsid protein of peste des petits ruminants virus.

Xiao-Xia Ma1,2,3, Yi-Ning Wang4, Xiao-An Cao4, Xue-Rui Li4, Yong-Sheng Liu4, Jian-Hua Zhou5, Xue-Peng Cai6.   

Abstract

The nucleocapsid (N) protein of peste des petits ruminants virus (PPRV) with a conserved amino acid usage pattern plays an important role in viral replication. The primary objective of this study was to estimate roles of synonymous codon usages of PPRV N gene and tRNA abundances of host in the formation of secondary structure of N protein. The potential effects of synonymous codon usages of N gene and tRNA abundances of host on shaping different folding units (α-helix, β-strand and the coil) in N protein were estimated, based on the information about the modeling secondary structure of PPRV N protein. The synonymous codon usage bias was found in different folding units in PPRV N protein. To better understand the role of translation speed caused by variant tRNA abundances in shaping the specific folding unit in N protein, we modeled the changing trends of tRNA abundance at the transition boundaries from one folding unit to another folding unit (β-strand → coil, coil → β-strand, α-helix → coil, coil → α-helix). The obvious fluctuations of tRNA abundance were identified at the two transition boundaries (β-strand → coil and coil → β-strand) in PPRV N protein. Our findings suggested that viral synonymous codon usage bias and cellular tRNA abundance variation might have potential effects on the formation of secondary structure of PPRV N protein.

Entities:  

Keywords:  Nucleocapsid; PPRV; Peste des petits ruminants virus; Secondary structure; Synonymous codon usage; tRNA abundance

Mesh:

Substances:

Year:  2018        PMID: 30155714     DOI: 10.1007/s13258-018-0684-2

Source DB:  PubMed          Journal:  Genes Genomics        ISSN: 1976-9571            Impact factor:   1.839


  54 in total

1.  Codon usage tabulated from international DNA sequence databases: status for the year 2000.

Authors:  Y Nakamura; T Gojobori; T Ikemura
Journal:  Nucleic Acids Res       Date:  2000-01-01       Impact factor: 16.971

Review 2.  Folding at the rhythm of the rare codon beat.

Authors:  Monica Marin
Journal:  Biotechnol J       Date:  2008-08       Impact factor: 4.677

3.  The codon Adaptation Index--a measure of directional synonymous codon usage bias, and its potential applications.

Authors:  P M Sharp; W H Li
Journal:  Nucleic Acids Res       Date:  1987-02-11       Impact factor: 16.971

4.  %MinMax: A versatile tool for calculating and comparing synonymous codon usage and its impact on protein folding.

Authors:  Anabel Rodriguez; Gabriel Wright; Scott Emrich; Patricia L Clark
Journal:  Protein Sci       Date:  2017-11-21       Impact factor: 6.725

Review 5.  Analysis of network motifs in cellular regulation: Structural similarities, input-output relations and signal integration.

Authors:  Ronny Straube
Journal:  Biosystems       Date:  2017-10-28       Impact factor: 1.973

6.  Prediction of replication sites in Saccharomyces cerevisiae genome using DNA segment properties: Multi-view ensemble learning (MEL) approach.

Authors:  Vinod Kumar Singh; Vipin Kumar; Annangarachari Krishnamachari
Journal:  Biosystems       Date:  2017-12-09       Impact factor: 1.973

Review 7.  Global distribution of peste des petits ruminants virus and prospects for improved diagnosis and control.

Authors:  Ashley C Banyard; Satya Parida; Carrie Batten; Chris Oura; Olivier Kwiatek; Genevieve Libeau
Journal:  J Gen Virol       Date:  2010-09-15       Impact factor: 3.891

Review 8.  Peste des Petits Ruminants Virus.

Authors:  M D Baron; A Diallo; R Lancelot; G Libeau
Journal:  Adv Virus Res       Date:  2016-03-14       Impact factor: 9.937

9.  Significant differences in terms of codon usage bias between bacteriophage early and late genes: a comparative genomics analysis.

Authors:  Oriah Mioduser; Eli Goz; Tamir Tuller
Journal:  BMC Genomics       Date:  2017-11-13       Impact factor: 3.969

10.  Generic algorithm to predict the speed of translational elongation: implications for protein biogenesis.

Authors:  Gong Zhang; Zoya Ignatova
Journal:  PLoS One       Date:  2009-04-03       Impact factor: 3.240

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