Suboptimal dengue genome leverages non-canonical translation mechanisms

Dengue is a notable example of vector-borne RNA virus responsible for severe hemorrhagic fever. Its compact genome necessitates reliance on the host's translational machinery for replication. This study investigates the plausible adaptive strategies employed by dengue serotypes for effective translation within the human host. By analyzing viral reads from the RNA-seq dataset derived from the hospital-admitted patients, we explored the impact of dinucleotide diversity on codon optimization, and compatibility of serotypes with the host. Our findings reveal only moderate congruency of serotypes with the host and identified genomic composition common to several RNA viruses. Notably, unique coverage patterns were observed within the genome of DENV-2 serotypes. Using ribosome profileing (Ribo-seq) data, we extended our analysis to assess the translatability of potential internal open reading frames (iORFs) identified in the RNA-seq dataset. Nine common iORFs were identified across both the datasets, underscoring potential non-canonical translational mechanisms that might enhance DENV genome optimization.

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Publication Details

Journal
iScience
Published
2025-04-15
DOI
https://doi.org/10.1016/j.isci.2025.112428
Citations
1
Primary Topic
Mosquito-borne diseases and control
Type
article
Field-Weighted Citation Impact
1.88

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Suboptimal dengue genome leverages non-canonical translation mechanisms

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Suboptimal dengue genome leverages non-canonical translation mechanisms

Rajesh Pandey, Priyanka Mehta, Priti Devi, Bansidhar Tarai, Sandeep Budhiraja
article en
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Abstract

Dengue is a notable example of vector-borne RNA virus responsible for severe hemorrhagic fever. Its compact genome necessitates reliance on the host's translational machinery for replication. This study investigates the plausible adaptive strategies employed by dengue serotypes for effective translation within the human host. By analyzing viral reads from the RNA-seq dataset derived from the hospital-admitted patients, we explored the impact of dinucleotide diversity on codon optimization, and compatibility of serotypes with the host. Our findings reveal only moderate congruency of serotypes with the host and identified genomic composition common to several RNA viruses. Notably, unique coverage patterns were observed within the genome of DENV-2 serotypes. Using ribosome profileing (Ribo-seq) data, we extended our analysis to assess the translatability of potential internal open reading frames (iORFs) identified in the RNA-seq dataset. Nine common iORFs were identified across both the datasets, underscoring potential non-canonical translational mechanisms that might enhance DENV genome optimization.

iScienceVol. 28(5)
Institute of Genomics and Integrative Biology (IN), Max Super Speciality Hospital (IN), Max Healthcare (IN), Academy of Scientific and Innovative Research (IN)
Bill and Melinda Gates Foundation, Rockefeller Foundation
Openalex Percentile: Top 17%
Mosquito-borne diseases and control
1.88
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