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Published on: July 27, 2018
Synonymous Codon Usage Analysis of Three Narcissus Potyviruses.
Zhen He1,2, Shiwen Ding1, Jiyuan Guo3
1School of Horticulture and Plant Protection, Yangzhou University, Yangzhou 225009, China.
This study analyzed synonymous codons in narcissus degeneration virus (NDV), narcissus late season yellows virus (NLSYV), and narcissus yellow stripe virus (NYSV). Natural selection primarily influences codon usage bias, with a preference for A/U-ending codons.
Area of Science:
- Plant Virology
- Molecular Evolution
- Bioinformatics
Background:
- Narcissus degeneration virus (NDV), narcissus late season yellows virus (NLSYV), and narcissus yellow stripe virus (NYSV) are Potyviruses causing significant narcissus crop losses.
- Previous research focused on genetic diversity and evolution rates, but synonymous codon usage in these viruses remained unclear.
Purpose of the Study:
- To analyze the phylogenetic relationships and codon usage patterns of NDV, NLSYV, and NYSV using their coat protein (CP) genes.
- To investigate the factors influencing codon usage bias in these narcissus viruses.
Main Methods:
- Phylogenetic analysis of CP gene sequences from NDV, NLSYV, and NYSV isolates.
- Analysis of codon usage patterns, including Effective Number of Codons (ENC) and neutrality plots.
- Identification of optimal codons and preferred codon usage trends.
Main Results:
- Phylogenetic analysis revealed distinct clustering of isolates, often correlating with geographic distribution.
- Weak codon usage bias was observed in the CP coding regions of all three viruses.
- Natural selection was identified as the primary driver of codon usage bias, outweighing mutation pressure.
- A shared optimal codon (CCA) was found, with a preference for A/U-ending codons over C/G-ending ones.
Conclusions:
- This study provides the first codon usage analysis of multiple viruses infecting the same host (narcissus).
- Codon usage patterns are shaped by natural selection, indicating evolutionary adaptation.
- Understanding these evolutionary dynamics is crucial for developing effective, evolution-based strategies to control these economically important narcissus viruses.
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