Full Genome and Individual Gene Analysis for Evolutionary Patterns of Locally Circulating Rabies Virus in Davao City

Q3 Multidisciplinary
S. G. Buenaventura, Christian C Labrador, M. Bacus, M. N. Eng, Arlene Lagare, Gloria Márquez, L. A. Murao
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Abstract

Disease surveillance remains a challenge in the Philippines due to its limited resources. Integration of genomic-based surveillance in the National Rabies Control Program provides additional insights into rabies virus (RABV) evolution and transmission dynamics and can, therefore, inform public health decisions. This pilot study used the previously reported 49 RABV sequences in Davao City and some neighboring provinces to evaluate the utility of targeted sequencing as an inexpensive alternative to whole genome sequencing. We applied different tree distance metrics to compare RABV whole genome (WG) and individual RABV genes. Phylogenetic trees reconstructed using IQTree2 and BEAST were used to compare differences in phylogenetic signals, tree topology, and evolutionary patterns. There were no significant differences in the phylogenetic signals of the three major clades in the trees, with strong support values for sampling variance and underlying variances at the gene and site levels. A comparison of the Bayesian phylogenetic tree of WG and individual genes showed that there were no significant differences in the substitution rate and divergence time. Moreover, patristic distances (PDs) of all individual gene trees were positively correlated and congruent to the RABV WG of identical strains, with correlation values above 99%, which ruled out the possibility of missing out on relevant findings on evolutionary dynamics using only individual genes. Based on the results of our detailed genetic analyses, RNA-dependent RNA polymerase (L) and phosphoprotein (P) segments were identified as the best biomarkers to investigate the evolutionary analysis of locally circulating RABV variants in Davao City due to the close PDs of their trees relative to the WG. Less expensive options such as gene-based surveillance will enable the local government to trace and monitor the actual genetic diversity and spread of the virus, which could lead to the design and implementation of focused strategies.
达沃市当地流行狂犬病病毒进化模式的全基因组和个体基因分析
由于菲律宾资源有限,疾病监测仍然是一项挑战。在国家狂犬病控制规划中整合基于基因组学的监测可以进一步了解狂犬病病毒(RABV)的进化和传播动态,因此可以为公共卫生决策提供信息。该试点研究使用了先前报道的达沃市和邻近省份的49个RABV序列,以评估靶向测序作为全基因组测序的廉价替代方法的效用。我们采用不同的树距离指标来比较RABV全基因组(WG)和RABV单个基因。利用IQTree2和BEAST构建系统发育树,比较系统发育信号、树的拓扑结构和进化模式的差异。3个主要支系的系统发育信号没有显著差异,在基因和位点水平上对抽样方差和潜在方差有很强的支持价值。对WG基因与单个基因的贝叶斯系统发育树进行比较,结果表明二者在替代率和分化时间上无显著差异。此外,所有个体基因树的亲缘距离(pd)均与同一菌株的RABV WG呈正相关且一致,相关值均在99%以上,排除了仅使用单个基因就错过进化动力学相关发现的可能性。基于我们详细的遗传分析结果,RNA依赖的RNA聚合酶(L)和磷酸化蛋白(P)片段被确定为研究达沃市当地流行RABV变异进化分析的最佳生物标志物,因为它们的树相对于WG的pd接近。诸如基于基因的监测等成本较低的选择将使地方政府能够追踪和监测病毒的实际遗传多样性和传播,这可能导致设计和实施重点战略。
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
Philippine Journal of Science
Philippine Journal of Science Multidisciplinary-Multidisciplinary
CiteScore
1.20
自引率
0.00%
发文量
55
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