Codon Usage Bias Analysis of Citrus Leaf Blotch Virus

Citrus leaf blotch virus (CLBV) is a positive-sense single-stranded RNA virus belonging to the genus <i>Citrivirus</i> within the family <i>Betaflexiviridae</i>. It infects a broad range of economically significant fruit crops, including citrus, kiwifruit, and apple. Surveys conducted in the field have documented appreciable incidence rates in several hosts, thereby emphasizing its emerging threat to global pomiculture. Comprehensive surveillance of CLBV genetic diversity is indispensable for predicting strain-specific epidemics and designing durable, broadly protective control strategies. Current surveys of CLBV diversity are still gene-fragment-centric, with whole-genome resolution remaining largely untapped. In this study, an analysis of codon usage bias analysis was performed using all available CLBV full-length genomes. The findings revealed that CLBV exhibits low codon usage bias, with natural selection, rather than mutational drift, being the primary driver. Phylogenetic analysis has been demonstrated to categorize isolates according to their host of origin rather than their geographical location. This observation suggests that host adaptation may supersede spatial structure in CLBV evolution and reinforce natural selection as the dominant force shaping its codon usage landscape. From the perspective of the codon adaptation index, <i>Prunus avium</i> is the host that exerts the greatest influence on the formation of its codon usage bias. The present study provides the first genome-wide portrait of CLBV codon usage bias, offering a robust framework for future investigations into its origin and evolutionary dynamics.

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Publication Details

Journal
Viruses
Published
2025-11-12
DOI
https://doi.org/10.3390/v17111497
Primary Topic
Plant Virus Research Studies
Type
article
Field-Weighted Citation Impact
0.00

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article

Codon Usage Bias Analysis of Citrus Leaf Blotch Virus

Aijun Huang, Hongfang Wang, Xin Ren, Lifang Xu et al.
Viruses
Plant Virus Research Studies
article

Codon Usage Bias Analysis of Citrus Leaf Blotch Virus

Aijun Huang, Hongfang Wang, Xin Ren, Lifang Xu, Yuqian Yan
article en

Abstract

Citrus leaf blotch virus (CLBV) is a positive-sense single-stranded RNA virus belonging to the genus <i>Citrivirus</i> within the family <i>Betaflexiviridae</i>. It infects a broad range of economically significant fruit crops, including citrus, kiwifruit, and apple. Surveys conducted in the field have documented appreciable incidence rates in several hosts, thereby emphasizing its emerging threat to global pomiculture. Comprehensive surveillance of CLBV genetic diversity is indispensable for predicting strain-specific epidemics and designing durable, broadly protective control strategies. Current surveys of CLBV diversity are still gene-fragment-centric, with whole-genome resolution remaining largely untapped. In this study, an analysis of codon usage bias analysis was performed using all available CLBV full-length genomes. The findings revealed that CLBV exhibits low codon usage bias, with natural selection, rather than mutational drift, being the primary driver. Phylogenetic analysis has been demonstrated to categorize isolates according to their host of origin rather than their geographical location. This observation suggests that host adaptation may supersede spatial structure in CLBV evolution and reinforce natural selection as the dominant force shaping its codon usage landscape. From the perspective of the codon adaptation index, <i>Prunus avium</i> is the host that exerts the greatest influence on the formation of its codon usage bias. The present study provides the first genome-wide portrait of CLBV codon usage bias, offering a robust framework for future investigations into its origin and evolutionary dynamics.

VirusesVol. 17(11)
Gannan Normal University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 75%
Plant Virus Research Studies
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Codon Usage Bias Analysis of Citrus Leaf Blotch Virus — Aijun Huang, Hongfang Wang, et al. · Viruses (2025) | TGRS Research Map | TGRS