ORIGINAL RESEARCH article
Front. Vet. Sci.
Sec. Veterinary Infectious Diseases
Volume 12 - 2025 | doi: 10.3389/fvets.2025.1567209
Comprehensive analysis of the codon usage patterns in the polyprotein coding sequences of the honeybee viruses
Provisionally accepted- Recep Tayyip Erdoğan University, Rize, Türkiye
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Honeybee viruses (HVs) are some of the most significant pathogens affecting these insects and are commonly found in beehives across the globe. This viral infection leads to substantial economic losses in the beekeeping industry. To understand the evolution and adaptation of HVs, such as Acute Bee Paralysis Virus (ABPV), Kashmir Bee Virus (KBV), Chronic Bee Paralysis Virus (CBPV), and Sacbrood Virus (SBV), a detailed analysis of codon usage bias (CUB) was conducted, as no prior studies on this topic had been reported. Analysis of nucleotide content and RSCU revealed that the polyprotein coding sequences of the four HVs were rich in A/U nucleotides, with the third base of synonymous codons predominantly A/U. The polyprotein coding sequences showed a higher effective number of codons (ENC) value, suggesting lower CUB. The ENC plot, PR2 plot, and neutrality analyses indicated that natural selection predominantly shapes the codon usage pattern of polyprotein coding sequences, with minimal influence from mutation pressure. Analyses of the codon adaptation index (CAI) and relative codon deoptimization index (RCDI) showed a strong relationship between HVs and their hosts. These findings could offer essential insights into the overall codon usage patterns of HVs and help in understanding the mechanisms that influence codon usage and genetic evolution in HVs.
Keywords: Honeybee viruses, Polyprotein, codon usage bias, natural selection, Host Adaptation
Received: 26 Jan 2025; Accepted: 24 Jun 2025.
Copyright: © 2025 Aktürk Dizman. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Yeşim Aktürk Dizman, Recep Tayyip Erdoğan University, Rize, Türkiye
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