Literature DB >> 28770241

Analysis of synonymous codon usage bias and phylogeny of coat protein gene in banana bract mosaic virus isolates.

Atul B Patil1, Vijayendra S Dalvi1, Akhilesh A Mishra1, Bal Krishna2, Abdul Azeez2.   

Abstract

The banana is one of the world's most important livelihood crops. Banana plants are principally infected by four virus species, Banana bunchy top virus (genus Babuvirus), Cucumber mosaic virus (genus Cucumovirus), Banana streak virus (genus Badnavirus) and Banana bract mosaic virus (genus Potyvirus). The objective of this study is to understand the codon usage pattern and phylogeny of coat protein gene in different banana bract mosaic virus (BBrMV) isolates. The BBrMV Coat Protein (CP) gene was amplified from BBrMV infected banana plant samples collected from different districts of Tamil Nadu and Karnataka, India. Six new BBrMV isolates were submitted to National Center for Biotechnology Information. Phylogenetic analysis and codon usage indices were studied along with other isolates of BBrMV. Phylogenetic analysis of CP genes shows that most of BBrMV isolates are closely related to each other except KF385484.1 and KF385478.1. Relative codon usage patterns among different BBrMV isolates were calculated by software CodonW version 1.4.2. In BBrMV, codons with A-ended or U ended are the most preferential except the Leu and Gln whose optimized codons are CAG and UUG ending by G. The codon usage patterns of BBrMV isolates are principally influenced by mutational bias; however, compositional constraints along with mutational bias also play a major role.

Entities:  

Keywords:  Codon usage; Correspondence analysis; Mutational bias; Translational selection

Year:  2017        PMID: 28770241      PMCID: PMC5510630          DOI: 10.1007/s13337-017-0380-x

Source DB:  PubMed          Journal:  Virusdisease        ISSN: 2347-3584


  26 in total

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Authors:  G Bernardi; G Bernardi
Journal:  J Mol Evol       Date:  1986       Impact factor: 2.395

Review 3.  Structure of potyvirus coat proteins and its application in the taxonomy of the potyvirus group.

Authors:  D D Shukla; C W Ward
Journal:  Adv Virus Res       Date:  1989       Impact factor: 9.937

4.  Codon usage in yeast: cluster analysis clearly differentiates highly and lowly expressed genes.

Authors:  P M Sharp; T M Tuohy; K R Mosurski
Journal:  Nucleic Acids Res       Date:  1986-07-11       Impact factor: 16.971

5.  Complete genome sequence of a banana bract mosaic virus isolate infecting the French plantain cv. Nendran in India.

Authors:  V Balasubramanian; R Selvarajan
Journal:  Arch Virol       Date:  2011-12-02       Impact factor: 2.574

6.  Analysis of synonymous codon usage in H5N1 virus and other influenza A viruses.

Authors:  Tong Zhou; Wanjun Gu; Jianmin Ma; Xiao Sun; Zuhong Lu
Journal:  Biosystems       Date:  2005-04-07       Impact factor: 1.973

7.  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.

Authors:  T Ikemura
Journal:  J Mol Biol       Date:  1981-09-25       Impact factor: 5.469

8.  MatGAT: an application that generates similarity/identity matrices using protein or DNA sequences.

Authors:  James J Campanella; Ledion Bitincka; John Smalley
Journal:  BMC Bioinformatics       Date:  2003-07-10       Impact factor: 3.169

9.  Causes and implications of codon usage bias in RNA viruses.

Authors:  Ilya S Belalov; Alexander N Lukashev
Journal:  PLoS One       Date:  2013-02-25       Impact factor: 3.240

10.  Analysis of synonymous codon usage in SARS Coronavirus and other viruses in the Nidovirales.

Authors:  Wanjun Gu; Tong Zhou; Jianmin Ma; Xiao Sun; Zuhong Lu
Journal:  Virus Res       Date:  2004-05       Impact factor: 3.303

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Journal:  PLoS One       Date:  2021-08-19       Impact factor: 3.240

2.  Synonymous Codon Usage Analysis of Three Narcissus Potyviruses.

Authors:  Zhen He; Shiwen Ding; Jiyuan Guo; Lang Qin; Xiaowei Xu
Journal:  Viruses       Date:  2022-04-19       Impact factor: 5.818

Review 3.  Evolution and host adaptability of plant RNA viruses: Research insights on compositional biases.

Authors:  Zhen He; Lang Qin; Xiaowei Xu; Shiwen Ding
Journal:  Comput Struct Biotechnol J       Date:  2022-05-17       Impact factor: 6.155

  3 in total

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