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基于全基因组的地理监测:一个可视化且可扩展的网络工具。

Whole-Genome-Based Geographic Surveillance: A Visualized and Expandable Webtool.

作者信息

Jiang Xiaosen, Xu Zheng, Zhang Tongda, Li Yuan, Li Wei, Tan Hongdong

机构信息

BGI-Shenzhen, Shenzhen, China.

BGI Education Center, University of Chinese Academy of Sciences, Shenzhen, China.

出版信息

Front Microbiol. 2021 Aug 2;12:687259. doi: 10.3389/fmicb.2021.687259. eCollection 2021.

Abstract

exhibit specific geographic distributions that are related to clinical outcomes. Despite the high infection rate of throughout the world, the genetic epidemiology surveillance of still needs to be improved. This study used the single nucleotide polymorphisms (SNPs) profiling approach based on whole genome sequencing (WGS) to facilitate genomic population analyses of and encourage the dissemination of microbial genotyping strategies worldwide. A total number of 1,211 public genomes were downloaded and used to construct the typing tool, named TT ( Typing Tool). Combined with the metadata, we developed two levels of genomic typing, including a continent-scale and a country scale that nested in the continent scale. Results showed that Asia was the largest isolate source in our dataset, while isolates from Europe and Oceania were comparatively more widespread. More specifically, Switzerland and Australia are the main sources of widespread isolates in their corresponding continents. To integrate all the typing information and enable researchers to compare their dataset against the existing global database easily and rapidly, a user-friendly website (https://db.cngb.org/HPTT/) was developed with both genomic typing tools and visualization tools. To further confirm the validity of the website, ten newly assembled genomes were downloaded and tested precisely located on the branch as we expected. In summary, the typing tool (TT) is a novel genomic epidemiological tool that can achieve high-resolution analysis of genomic typing and visualizing simultaneously, providing insights into the genetic population structure, evolution analysis, and epidemiological surveillance of .

摘要

表现出与临床结果相关的特定地理分布。尽管全球感染率很高,但[病原体名称]的基因流行病学监测仍需改进。本研究使用基于全基因组测序(WGS)的单核苷酸多态性(SNP)分析方法,以促进[病原体名称]的基因组群体分析,并鼓励在全球范围内传播微生物基因分型策略。总共下载了1211个公开的[病原体名称]基因组,并用于构建名为TT([病原体名称]分型工具)的分型工具。结合元数据,我们开发了两个层次的基因组分型,包括大陆尺度和嵌套在大陆尺度内的国家尺度。结果表明,亚洲是我们数据集中最大的分离株来源,而来自欧洲和大洋洲的分离株分布相对更广。更具体地说,瑞士和澳大利亚是其相应大陆广泛传播分离株的主要来源。为了整合所有分型信息,并使研究人员能够轻松快速地将其数据集与现有的全球数据库进行比较,我们开发了一个用户友好的网站(https://db.cngb.org/HPTT/),该网站同时具备基因组分型工具和可视化工具。为了进一步确认该网站的有效性,下载了十个新组装的基因组并进行测试,结果它们正如我们预期的那样精确地定位在分支上。总之,[病原体名称]分型工具(TT)是一种新型的基因组流行病学工具,能够同时实现基因组分型的高分辨率分析和可视化,为[病原体名称]的遗传群体结构、进化分析和流行病学监测提供见解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5425/8366602/7d43094fe9e2/fmicb-12-687259-g001.jpg

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