Condez Ana Carolina, Nunes Mónica, Filipa-Silva Andreia, Leonardo Inês, Parreira Ricardo
Unidade de Microbiologia Médica, Instituto de Higiene e Medicina Tropical (IHTM), Universidade Nova de Lisboa (NOVA) Rua da Junqueira Nº100, 1349-008 Lisboa, Portugal.
iBET, Instituto de Biologia Experimental e Tecnológica, Apartado 12, 2781-901 Oeiras, Portugal.
Pathogens. 2021 Oct 12;10(10):1309. doi: 10.3390/pathogens10101309.
Due to the lack of reliable epidemiological information regarding the geographic distribution and genetic diversity of human polyomaviruses (HPyV) in Portugal, we addressed these issues in this initial study by focusing on the Lisbon Metropolitan area, the most populated and culturally diverse hub in the country. The HPyV structural protein-coding sequence was partially amplified using two touch-down PCR multiplex protocols, starting from water samples, collected between 2018 and 2020, where viral genomes were detected. The obtained results disclosed the frequent detection of HPyV1, HPyV2, HPyV5, and HPyV6 in 35.3% ( = 6), 29.4% ( = 5), 47.1% ( = 8) and 29.4% ( = 5), respectively, of the water samples analyzed. The sequences assigned to a given viral species did not segregate to a single genotype, this being especially true for HPyV2 for which five genotypes (including a putative new genotype 9) could be identified. The phylogenetic trees obtained for HPyV5 and HPyV6 had less resolving power than those obtained for HPyV1/HPyV2, but both viruses were shown to be genetically diverse. This analysis emphasizes the epidemiological helpfulness of these detection/genetic characterization studies in addition to being relevant tools for assessment of human waste contamination.
由于葡萄牙缺乏关于人类多瘤病毒(HPyV)地理分布和遗传多样性的可靠流行病学信息,我们在这项初步研究中通过聚焦该国人口最多且文化最多元化的中心——里斯本大都市区,来解决这些问题。从2018年至2020年期间收集的、检测到病毒基因组的水样开始,使用两种降落式聚合酶链反应多重协议对HPyV结构蛋白编码序列进行了部分扩增。所得结果显示,在分析的水样中,分别有35.3%(n = 6)、29.4%(n = 5)、47.1%(n = 8)和29.4%(n = 5)的水样频繁检测到HPyV1、HPyV2、HPyV5和HPyV6。归属于某一特定病毒种类的序列并未聚为单一基因型,对于HPyV2尤其如此,其可鉴定出五种基因型(包括一种假定的新基因型9)。与HPyV1/HPyV2所得的系统发育树相比,HPyV5和HPyV6所得的系统发育树分辨率较低,但这两种病毒均显示出遗传多样性。该分析强调了这些检测/遗传特征研究在流行病学方面的有用性,同时也是评估人类粪便污染的相关工具。