Comparative Analysis of Codon Usage Patterns and Host Adaptation in Merbecoviruses

<i>Merbecovirus</i>, a subgenus of coronaviruses that includes the highly pathogenic Middle East respiratory syndrome coronavirus (MERSr-CoV), poses a significant zoonotic threat. To better understand its host adaptation and potential for cross-species transmission, we conducted a comprehensive analysis of codon usage patterns in 1967 <i>Merbecovirus</i> sequences. Phylogenetic analysis confirmed the division of <i>Merbecoviruses</i> into seven distinct clusters. Codon usage bias was found to be low and predominantly shaped by natural selection, with a consistent A/U-rich composition across the genome. Codon adaptation index (CAI) and relative codon deoptimization index (RCDI) analyses indicate that <i>Merbecovirus</i> exhibits potential host adaptation to <i>Sus scrofa</i> (pigs), <i>Equus caballus</i> (horses), and <i>Oryctolagus cuniculus</i> (rabbits), suggesting a risk of cross-species transmission. Strikingly, this genomic-level adaptation prediction is supported by emerging functional evidence: recent studies have demonstrated that key <i>Merbecovirus</i> lineages utilize diverse cell entry receptors (DPP4 or ACE2), a fundamental determinant of host tropism. For instance, the ability of the HKU5 lineage to utilize ACE2 receptors from mustelids like minks (<i>Neogale vison</i>) provides mechanistic support for the host adaptability trends inferred from our genomic analyses. By integrating existing receptor specificity data, this study provides the first systematic, large-scale analysis of codon usage across the <i>Merbecovirus</i> subgenus, elucidating key mechanisms of genomic adaptation and viral evolution. Our analytical framework provides a novel comparative perspective on host diversity and pinpoints specific surveillance priorities for mitigating future spillover risks.

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Publication Details

Journal
Viruses
Published
2025-11-06
DOI
https://doi.org/10.3390/v17111479
Primary Topic
RNA and protein synthesis mechanisms
Type
article
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article

Comparative Analysis of Codon Usage Patterns and Host Adaptation in Merbecoviruses

Wanting He, Huimin Zhou, Jianjun Dai, Giovanni Franzo et al.
Viruses
RNA and protein synthesis mechanisms
article

Comparative Analysis of Codon Usage Patterns and Host Adaptation in Merbecoviruses

Wanting He, Huimin Zhou, Jianjun Dai, Giovanni Franzo, Mengdi Zheng, Yue Li, Ge Yan, Xiang Chen, Hao Liu
article en

Abstract

<i>Merbecovirus</i>, a subgenus of coronaviruses that includes the highly pathogenic Middle East respiratory syndrome coronavirus (MERSr-CoV), poses a significant zoonotic threat. To better understand its host adaptation and potential for cross-species transmission, we conducted a comprehensive analysis of codon usage patterns in 1967 <i>Merbecovirus</i> sequences. Phylogenetic analysis confirmed the division of <i>Merbecoviruses</i> into seven distinct clusters. Codon usage bias was found to be low and predominantly shaped by natural selection, with a consistent A/U-rich composition across the genome. Codon adaptation index (CAI) and relative codon deoptimization index (RCDI) analyses indicate that <i>Merbecovirus</i> exhibits potential host adaptation to <i>Sus scrofa</i> (pigs), <i>Equus caballus</i> (horses), and <i>Oryctolagus cuniculus</i> (rabbits), suggesting a risk of cross-species transmission. Strikingly, this genomic-level adaptation prediction is supported by emerging functional evidence: recent studies have demonstrated that key <i>Merbecovirus</i> lineages utilize diverse cell entry receptors (DPP4 or ACE2), a fundamental determinant of host tropism. For instance, the ability of the HKU5 lineage to utilize ACE2 receptors from mustelids like minks (<i>Neogale vison</i>) provides mechanistic support for the host adaptability trends inferred from our genomic analyses. By integrating existing receptor specificity data, this study provides the first systematic, large-scale analysis of codon usage across the <i>Merbecovirus</i> subgenus, elucidating key mechanisms of genomic adaptation and viral evolution. Our analytical framework provides a novel comparative perspective on host diversity and pinpoints specific surveillance priorities for mitigating future spillover risks.

VirusesVol. 17(11)
Nanjing Agricultural University (CN), University of Padua (IT), China Pharmaceutical University (CN), Yangzhou University (CN)
Openalex Percentile: Top 71%
RNA and protein synthesis mechanisms
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