Literature DB >> 14689279

Codon usage bias amongst plant viruses.

M J Adams1, J F Antoniw.   

Abstract

An internet database (DPVweb) was established containing details of all sequences of viruses, viroids and satellites of plants that are complete or that contain at least one complete gene (n>4600). The start and end positions of each feature (genes, non-translated regions etc) were recorded and checked for accuracy. Client software was written to enable easy selection of sequences and features of a chosen virus and to analyse codon usage bias. Codon usage was analysed for each gene of one example of each fully-sequenced plant virus. There were large differences in codon preferences, related to the nucleotide composition of the genome, particularly the GC content of the third codon position. There was no effect of gene size on codon bias. Genes from the same genome usually had similar coding strategies except where constrained by the overlap of reading frames. Although some synonymous codons were consistently used with low frequency by both plants and viruses, viruses were not generally adapted to use (or avoid) those codons most frequently used by their host plants and there was no obvious association with the type of transmission. Mutational bias, rather than translational selection appears to account for the majority of the variation detected. The software is available at http://www.dpvweb.net/analysis/codons.php.

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Year:  2003        PMID: 14689279     DOI: 10.1007/s00705-003-0186-6

Source DB:  PubMed          Journal:  Arch Virol        ISSN: 0304-8608            Impact factor:   2.574


  25 in total

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

Authors:  Atul B Patil; Vijayendra S Dalvi; Akhilesh A Mishra; Bal Krishna; Abdul Azeez
Journal:  Virusdisease       Date:  2017-05-18

2.  Probing of RNA structures in a positive sense RNA virus reveals selection pressures for structural elements.

Authors:  Kyle E Watters; Krishna Choudhary; Sharon Aviran; Julius B Lucks; Keith L Perry; Jeremy R Thompson
Journal:  Nucleic Acids Res       Date:  2018-03-16       Impact factor: 16.971

3.  Analysis of codon usage in bovine viral diarrhea virus.

Authors:  Meng Wang; Jie Zhang; Jian-hua Zhou; Hao-tai Chen; Li-na Ma; Yao-zhong Ding; Wen-qian Liu; Yong-sheng Liu
Journal:  Arch Virol       Date:  2010-11-11       Impact factor: 2.574

4.  Analyses of the complete sequence of the genome of wheat Eqlid mosaic virus, a novel species in the genus Tritimovirus.

Authors:  M Rastegar; K Izadpanah; M Masumi; M Siampour; A Zare; A Afsharifar
Journal:  Virus Genes       Date:  2008-07-22       Impact factor: 2.332

5.  Large-Scale Synonymous Substitutions in Cucumber Mosaic Virus RNA 3 Facilitate Amino Acid Mutations in the Coat Protein.

Authors:  Tomofumi Mochizuki; Rie Ohara; Marilyn J Roossinck
Journal:  J Virol       Date:  2018-10-29       Impact factor: 5.103

6.  High codon adaptation in citrus tristeza virus to its citrus host.

Authors:  Xiao-fei Cheng; Xiao-yun Wu; Hui-zhong Wang; Yu-qiang Sun; Yong-sheng Qian; Lu Luo
Journal:  Virol J       Date:  2012-06-14       Impact factor: 4.099

7.  Patterns and influencing factor of synonymous codon usage in porcine circovirus.

Authors:  Xin-sheng Liu; Yong-guang Zhang; Yu-zhen Fang; Yong-lu Wang
Journal:  Virol J       Date:  2012-03-15       Impact factor: 4.099

8.  Adaptation and Codon-Usage Preference of Apple and Pear-Infecting Apple Stem Grooving Viruses.

Authors:  Jaedeok Kim; Aamir Lal; Eui-Joon Kil; Hae-Ryun Kwak; Hwan-Su Yoon; Hong-Soo Choi; Mikyeong Kim; Muhammad Ali; Sukchan Lee
Journal:  Microorganisms       Date:  2021-05-21

9.  Base composition and translational selection are insufficient to explain codon usage bias in plant viruses.

Authors:  Daniel J Cardinale; Kate DeRosa; Siobain Duffy
Journal:  Viruses       Date:  2013-01-15       Impact factor: 5.048

10.  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

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