Rapid and precise amplicon-based genome sequencing to preparedness and response chikungunya virus outbreaks

Chikungunya virus (CHIKV) poses a significant global health threat. Effective genomic surveillance of CHIKV is critical for tracking transmission and evolution. To define an optimal framework, we systematically evaluated four next-generation sequencing (NGS) configurations combining second-generation (DNBSEQ-G99) and third-generation (QPursue-6k) chemistries with 200-bp or 400-bp amplicon schemes using 13 clinical samples (Ct 17.41-38.14). While second-generation sequencing, particularly with 400-bp amplicons, yielded the highest sequencing depth (mean 152,430×), third-generation platforms provided more uniform genome coverage (99.9%) and were resilient to amplification biases, especially in challenging regions like the capsid domain. Crucially, third-generation sequencing uncovered substantially greater intra-host viral diversity, detecting 1,553 and 756 unique variants with 200-bp and 400-bp amplicons, respectively, compared to only 416-417 variants from second-generation platforms. This included a broad spectrum of low-frequency variants (VAF < 0.5), which were largely missed by short-read methods. However, we observed that region-specific coverage biases in second-generation sequencing may cause false negatives, underscoring the importance of coverage-aware interpretation. Both platforms reliably identified known epidemiologically relevant mutations, such as E1-A226V. However, variant detection sensitivity correlated inversely with viral load for second-generation sequencing but showed a paradoxical positive correlation for third-generation sequencing, indicating platform-dependent performance at low template concentrations. Ct-stratified analysis revealed that in low-coverage, ultra-low viral load samples, third-generation (44.54%-77.32%) sequencing outperforms 2nd-seq (0.85%-27.88%) in variant detection. Our results establish that third-generation sequencing with amplicon-based enrichment is superior for comprehensive variant recovery and uniform coverage, providing a robust solution for high-resolution CHIKV genomic surveillance even in ultra-low viral load samples.

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Publication Details

Journal
Emerging Microbes & Infections
Published
2026-04-15
DOI
https://doi.org/10.1080/22221751.2026.2660424
Primary Topic
Mosquito-borne diseases and control
Type
article
Field-Weighted Citation Impact
0.00
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article

Rapid and precise amplicon-based genome sequencing to preparedness and response chikungunya virus outbreaks

Huacheng Yan, Kai Wang, Jinhui Li, Yuqi Liu et al.
Emerging Microbes & Infections
Mosquito-borne diseases and control
article

Rapid and precise amplicon-based genome sequencing to preparedness and response chikungunya virus outbreaks

Huacheng Yan, Kai Wang, Jinhui Li, Yuqi Liu, Tianyuan Liu, Fenxiang Li, Chuhong Wei, Yufeng Liang, P Li, Ning Wang
article en

Abstract

Chikungunya virus (CHIKV) poses a significant global health threat. Effective genomic surveillance of CHIKV is critical for tracking transmission and evolution. To define an optimal framework, we systematically evaluated four next-generation sequencing (NGS) configurations combining second-generation (DNBSEQ-G99) and third-generation (QPursue-6k) chemistries with 200-bp or 400-bp amplicon schemes using 13 clinical samples (Ct 17.41-38.14). While second-generation sequencing, particularly with 400-bp amplicons, yielded the highest sequencing depth (mean 152,430×), third-generation platforms provided more uniform genome coverage (99.9%) and were resilient to amplification biases, especially in challenging regions like the capsid domain. Crucially, third-generation sequencing uncovered substantially greater intra-host viral diversity, detecting 1,553 and 756 unique variants with 200-bp and 400-bp amplicons, respectively, compared to only 416-417 variants from second-generation platforms. This included a broad spectrum of low-frequency variants (VAF < 0.5), which were largely missed by short-read methods. However, we observed that region-specific coverage biases in second-generation sequencing may cause false negatives, underscoring the importance of coverage-aware interpretation. Both platforms reliably identified known epidemiologically relevant mutations, such as E1-A226V. However, variant detection sensitivity correlated inversely with viral load for second-generation sequencing but showed a paradoxical positive correlation for third-generation sequencing, indicating platform-dependent performance at low template concentrations. Ct-stratified analysis revealed that in low-coverage, ultra-low viral load samples, third-generation (44.54%-77.32%) sequencing outperforms 2nd-seq (0.85%-27.88%) in variant detection. Our results establish that third-generation sequencing with amplicon-based enrichment is superior for comprehensive variant recovery and uniform coverage, providing a robust solution for high-resolution CHIKV genomic surveillance even in ultra-low viral load samples.

Emerging Microbes & InfectionsVol. 15(1)
Guangzhou Center for Disease Control and Prevention (CN), The First People's Hospital of Shunde (CN)
Good health and well-being
Openalex Percentile: Top 20%
Mosquito-borne diseases and control
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