Suppr超能文献

通过靶向测序对全国范围内的 SARS-CoV-2 基因组种群进行污水监测。

Wastewater surveillance of SARS-CoV-2 genomic populations on a country-wide scale through targeted sequencing.

机构信息

Sección Virología, Instituto de Química Biológica, Facultad de Ciencias, Universidad de la República, Montevideo, Uruguay.

Department of Life Sciences, Texas A&M University-San Antonio, San Antonio, Texas, United States of America.

出版信息

PLoS One. 2023 Apr 21;18(4):e0284483. doi: 10.1371/journal.pone.0284483. eCollection 2023.

Abstract

SARS-CoV-2 surveillance of viral populations in wastewater samples is recognized as a useful tool for monitoring epidemic waves and boosting health preparedness. Next generation sequencing of viral RNA isolated from wastewater is a convenient and cost-effective strategy to understand the molecular epidemiology of SARS-CoV-2 and provide insights on the population dynamics of viral variants at the community level. However, in low- and middle-income countries, isolated groups have performed wastewater monitoring and data has not been extensively shared in the scientific community. Here we report the results of monitoring the co-circulation and abundance of variants of concern (VOCs) of SARS-CoV-2 in Uruguay, a small country in Latin America, between November 2020-July 2021 using wastewater surveillance. RNA isolated from wastewater was characterized by targeted sequencing of the Receptor Binding Domain region within the spike gene. Two computational approaches were used to track the viral variants. The results of the wastewater analysis showed the transition in the overall predominance of viral variants in wastewater from No-VOCs to successive VOCs, in agreement with clinical surveillance from sequencing of nasal swabs. The mutations K417T, E484K and N501Y, that characterize the Gamma VOC, were detected as early as December 2020, several weeks before the first clinical case was reported. Interestingly, a non-synonymous mutation described in the Delta VOC, L452R, was detected at a very low frequency since April 2021 when using a recently described sequence analysis tool (SAM Refiner). Wastewater NGS-based surveillance of SARS-CoV-2 is a reliable and complementary tool for monitoring the introduction and prevalence of VOCs at a community level allowing early public health decisions. This approach allows the tracking of symptomatic and asymptomatic individuals, who are generally under-reported in countries with limited clinical testing capacity. Our results suggests that wastewater-based epidemiology can contribute to improving public health responses in low- and middle-income countries.

摘要

对废水样本中病毒群体的 SARS-CoV-2 监测被认为是监测疫情波次和增强卫生准备工作的有用工具。从废水中分离出的病毒 RNA 进行下一代测序是一种便捷且具有成本效益的策略,可以了解 SARS-CoV-2 的分子流行病学,并深入了解社区层面病毒变异株的种群动态。然而,在中低收入国家,孤立的群体开展了废水监测,但这些数据并未在科学界广泛共享。在这里,我们报告了 2020 年 11 月至 2021 年 7 月期间,使用废水监测在乌拉圭(拉丁美洲的一个小国家)监测 SARS-CoV-2 关注变异株(VOC)共同循环和丰度的结果。从废水中分离出的 RNA 通过针对刺突基因中受体结合域区域的靶向测序进行表征。使用两种计算方法来追踪病毒变异株。废水分析结果显示,与鼻拭子测序的临床监测结果一致,废水中病毒变异株的总体优势从无 VOC 向连续的 VOC 发生了转变。早在 2020 年 12 月,就检测到了表征 Gamma VOC 的 K417T、E484K 和 N501Y 突变,比首次报告临床病例早了数周。有趣的是,自 2021 年 4 月以来,使用最近描述的序列分析工具(SAM Refiner),检测到了 Delta VOC 中描述的非同义突变 L452R,但频率非常低。基于 SARS-CoV-2 的废水 NGS 监测是一种可靠且互补的工具,可用于在社区层面监测 VOC 的引入和流行情况,从而能够及时做出公共卫生决策。这种方法可以追踪有症状和无症状个体,而在临床检测能力有限的国家,这些个体通常报告不足。我们的结果表明,基于废水的流行病学可以有助于改善中低收入国家的公共卫生应对措施。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0739/10121012/1bac283ff2e4/pone.0284483.g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验