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全球污水的后生元分析表明,与人类疾病相关的细菌菌株的地理聚类程度较低。

Metaphylogenetic analysis of global sewage reveals that bacterial strains associated with human disease show less degree of geographic clustering.

机构信息

DTU Food. Technical University of Denmark, Kongens Lyngby, Denmark, 2800, Danmark.

出版信息

Sci Rep. 2020 Feb 20;10(1):3033. doi: 10.1038/s41598-020-59292-w.

Abstract

Knowledge about the difference in the global distribution of pathogens and non-pathogens is limited. Here, we investigate it using a multi-sample metagenomics phylogeny approach based on short-read metagenomic sequencing of sewage from 79 sites around the world. For each metagenomic sample, bacterial template genomes were identified in a non-redundant database of whole genome sequences. Reads were mapped to the templates identified in each sample. Phylogenetic trees were constructed for each template identified in multiple samples. The countries from which the samples were taken were grouped according to different definitions of world regions. For each tree, the tendency for regional clustering was determined. Phylogenetic trees representing 95 unique bacterial templates were created covering 4 to 71 samples. Varying degrees of regional clustering could be observed. The clustering was most pronounced for environmental bacterial species and human commensals, and less for colonizing opportunistic pathogens, opportunistic pathogens and pathogens. No pattern of significant difference in clustering between any of the organism classifications and country groupings according to income were observed. Our study suggests that while the same bacterial species might be found globally, there is a geographical regional selection or barrier to spread for individual clones of environmental and human commensal bacteria, whereas this is to a lesser degree the case for strains and clones of human pathogens and opportunistic pathogens.

摘要

关于病原体和非病原体在全球分布上的差异的知识有限。在这里,我们使用一种基于全球 79 个地点污水的短读长宏基因组测序的多样本宏基因组系统发育分析方法来研究这个问题。对于每个宏基因组样本,在整个基因组序列的非冗余数据库中鉴定细菌模板基因组。将读取映射到每个样本中鉴定的模板上。为在多个样本中鉴定的每个模板构建系统发育树。根据世界区域的不同定义,对采集样本的国家进行分组。对于每棵树,确定区域聚类的趋势。创建了 95 个代表独特细菌模板的系统发育树,涵盖了 4 到 71 个样本。可以观察到不同程度的区域聚类。环境细菌物种和人类共生菌的聚类最为明显,定植机会性病原体、机会性病原体和病原体的聚类则不那么明显。在聚类方面,根据收入划分的任何生物分类和国家分组之间都没有观察到明显差异的模式。我们的研究表明,虽然全球可能存在相同的细菌物种,但对于个别环境和人类共生菌的克隆存在地理区域选择或传播障碍,而对于人类病原体和机会性病原体的菌株和克隆则较少。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4e66/7033184/ca8e4804093d/41598_2020_59292_Fig1_HTML.jpg

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