Advancing Genomic Surveillance of Human Parainfluenza Viruses in Côte d'Ivoire Using Twist Hybrid-Capture Sequencing

IF 3.9 4区 医学 Q1 INFECTIOUS DISEASES
Olivia Cariolh Koumba-Koumba, Yakoura Karidja Ouattara, Herve A. Kadjo, Mouhamed Kane, Maxime Diané Kouao, Helene Kouassi, Ange-Michele Mbra, Alida Mouliom, Ndeye Awa Ndiaye, Ndongo Dia, Daouda Coulibaly, Edgard Adjogoua, Therese K. Agbessi, Moussa Moise Diagne
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Abstract

Background

Human parainfluenza viruses (HPIV1–3) are major causes of acute respiratory infections, yet their genomic epidemiology remains poorly characterized in sub-Saharan Africa. We evaluated hybrid-capture sequencing for HPIV genomic surveillance in Côte d'Ivoire using respiratory samples collected through the national sentinel surveillance network from January 2022 to December 2024.

Methods

Among 268 RT-qPCR-positive samples, 49 were selected for sequencing using the Twist Respiratory Virus Research hybrid-capture panel on the Illumina iSeq 100 platform. Genome assembly and phylogenetic analyses were performed using CZ-ID and IQ-TREE.

Results

Hybrid-capture sequencing recovered 29 near-complete genomes: 9 HPIV1, 10 HPIV2, and 10 HPIV3. Genome recovery was strongly dependent on viral load, with a marked negative correlation between cycle threshold (Ct) value and genome coverage (r = −0.91) and optimal performance at Ct ≤ 30. Viral co-detections were identified in 25 sequenced samples; adenovirus type B was the most frequent co-detected pathogen, while HPIV3 showed the broadest co-detection profile. Phylogenetic analysis revealed limited diversity for HPIV1, greater diversity for HPIV2, and pronounced heterogeneity for HPIV3, including co-circulation of divergent lineages.

Conclusions

Hybrid-capture sequencing provides a practical approach for HPIV genomic surveillance in routine settings and offers detailed insight into HPIV circulation in West Africa, supporting lineage tracking and the design of future genomic surveillance strategies.

利用Twist杂交捕获测序技术推进Côte科特迪瓦人类副流感病毒的基因组监测。
背景:人类副流感病毒(HPIV1-3)是急性呼吸道感染的主要原因,但其基因组流行病学特征在撒哈拉以南非洲仍然很差。我们利用2022年1月至2024年12月通过国家哨点监测网络收集的呼吸道样本,评估了混合捕获测序在Côte科特迪瓦HPIV基因组监测中的应用。方法:在268份rt - qpcr阳性样本中,选择49份在Illumina iSeq 100平台上使用Twist Respiratory Virus Research杂交捕获面板进行测序。利用CZ-ID和IQ-TREE进行基因组组装和系统发育分析。结果:混合捕获测序恢复了29个接近完整的基因组:9个HPIV1, 10个HPIV2和10个HPIV3。基因组恢复强烈依赖于病毒载量,周期阈值(Ct)值与基因组覆盖率呈显著负相关(r = -0.91),且在Ct≤30时表现最佳。在25个测序样本中发现病毒共检测;腺病毒B型是最常见的共检病原体,而HPIV3型是最广泛的共检病原体。系统发育分析显示,HPIV1的多样性有限,HPIV2的多样性更大,HPIV3的异质性明显,包括不同谱系的共循环。结论:混合捕获测序为常规环境中的HPIV基因组监测提供了一种实用的方法,并提供了西非HPIV循环的详细信息,支持谱系追踪和未来基因组监测策略的设计。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
7.20
自引率
4.50%
发文量
120
审稿时长
6-12 weeks
期刊介绍: Influenza and Other Respiratory Viruses is the official journal of the International Society of Influenza and Other Respiratory Virus Diseases - an independent scientific professional society - dedicated to promoting the prevention, detection, treatment, and control of influenza and other respiratory virus diseases. Influenza and Other Respiratory Viruses is an Open Access journal. Copyright on any research article published by Influenza and Other Respiratory Viruses is retained by the author(s). Authors grant Wiley a license to publish the article and identify itself as the original publisher. Authors also grant any third party the right to use the article freely as long as its integrity is maintained and its original authors, citation details and publisher are identified.
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