Aziz Fatima, Farooqui Nida, Abbas Tanveer, Javaid Mahnoor, Rafaqat Wardah, Zhamalbekova Alnara, Ali Syed Asad, Ali Syed, Abid Syed Hani
Department of Paediatrics and Child Health, Aga Khan University, Karachi, Pakistan; Department of Microbiology, University of Karachi, Karachi, Pakistan.
Department of Biological and Biomedical Sciences, Aga Khan University, Karachi, Pakistan.
Infect Genet Evol. 2024 Dec;126:105694. doi: 10.1016/j.meegid.2024.105694. Epub 2024 Nov 26.
Respiratory syncytial virus (RSV) is one of the leading causes of infant morbidity and mortality worldwide, especially in Pakistan. To date, few studies have explored RSV epidemiology in different areas of Pakistan. However, none have performed comprehensive phylogenetic and phylodynamic analyses of RSV strains. This study presents a comprehensive genetic and phylodynamic analysis of RSV strains in children less than five years old in Karachi, Pakistan.
This study used retrospectively collected nasopharyngeal (swab) samples from 155 children with qPCR-confirmed RSV infection. The samples were used to perform RSV genotyping using PCR employing RSV glycoprotein gene-specific primers. The RSVA and RSVB genotyping was performed using BLAST and Maximum-likelihood (ML) phylogenetic methods. Similarly, the relationship with other RSV strains was analyzed using ML phylogenetic cluster analysis. The RSVA and RSVB mean genetic diversity and coefficient of differentiation were calculated using MEGA7 software. Furthermore, the time to the most common recent ancestor (tMRCA) and effective population size of RSV genotypes A and B were estimated using a Bayesian MCMC analysis. Finally, site selection pressure and glycosylation analyses were performed using FUBAR and NetNGlyc/NetOGlyc tools.
Out of 155, 98 and 57 sequences were RSVA and RSVB, respectively. The tMRCA was estimated to be around 2002 and 2005 for RSVA and RSVB, respectively. RSVA sequences formed two NA1 genotype clusters, comprising 95 and three sequences, respectively. RSVB formed three clusters, where 24 and two sequences clustered with BA9 and BA12 genotypes, respectively, while 31 sequences formed a unique cluster. The RSVA and RSVB glycoprotein gene sequences exhibited N- and O- glycosylation and selection pressure at several sites. RSV B exhibited slightly higher (0.042) nucleotide diversity per site (π) as compared to RSVA (0.019).
Our results suggest that RSVA and RSVB strains in Pakistan exhibit distinct genotypic clusters and differ in their estimated tMRCA. Additionally, both genotypes showed glycosylation and selection pressure at specific sites, with RSVB exhibiting higher nucleotide divergence per site (π), indicating its potential to undergo further evolutionary changes and adaptation. Overall, this study provides unique insights into RSV molecular epidemiology. The study may also help improve our understanding of RSV evolutionary changes and the emergence of new genotypes in different regions worldwide and within Pakistan.
呼吸道合胞病毒(RSV)是全球范围内导致婴儿发病和死亡的主要原因之一,在巴基斯坦尤为如此。迄今为止,很少有研究探讨巴基斯坦不同地区的RSV流行病学情况。然而,尚无研究对RSV毒株进行全面的系统发育和系统动力学分析。本研究对巴基斯坦卡拉奇市5岁以下儿童的RSV毒株进行了全面的基因和系统动力学分析。
本研究回顾性收集了155例经qPCR确诊为RSV感染的儿童的鼻咽(拭子)样本。这些样本用于通过使用RSV糖蛋白基因特异性引物的PCR进行RSV基因分型。使用BLAST和最大似然(ML)系统发育方法进行RSVA和RSVB基因分型。同样,使用ML系统发育聚类分析来分析与其他RSV毒株的关系。使用MEGA7软件计算RSVA和RSVB的平均遗传多样性和分化系数。此外,使用贝叶斯MCMC分析估计RSV A和B基因型的最近共同祖先时间(tMRCA)和有效种群大小。最后,使用FUBAR和NetNGlyc/NetOGlyc工具进行位点选择压力和糖基化分析。
在155个序列中,分别有98个和57个序列为RSVA和RSVB。RSVA和RSVB的tMRCA估计分别约为2002年和2005年。RSVA序列形成了两个NA1基因型簇,分别包含95个和3个序列。RSVB形成了三个簇,其中24个和2个序列分别与BA9和BA12基因型聚类,而31个序列形成了一个独特的簇。RSVA和RSVB糖蛋白基因序列在几个位点表现出N-和O-糖基化以及选择压力。与RSVA(0.019)相比,RSVB每个位点的核苷酸多样性(π)略高(0.042)。
我们的结果表明,巴基斯坦的RSVA和RSVB毒株表现出不同的基因型簇,并且在估计的tMRCA上存在差异。此外,两种基因型在特定位点均表现出糖基化和选择压力,RSVB每个位点的核苷酸差异更高(π),表明其有进一步进化变化和适应的潜力。总体而言,本研究为RSV分子流行病学提供了独特的见解。该研究也可能有助于增进我们对RSV进化变化以及全球不同地区和巴基斯坦境内新基因型出现的理解。