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全球 214K 宏基因组样本中的基因变异分布。

Global Distribution of Gene Variants in 214K Metagenomic Samples.

机构信息

Research Group for Genomic Epidemiology, Technical University of Denmarkgrid.5170.3, Kgs. Lyngby, Denmark.

出版信息

mSystems. 2022 Apr 26;7(2):e0010522. doi: 10.1128/msystems.00105-22. Epub 2022 Mar 28.

Abstract

Since the initial discovery of a mobilized colistin resistance gene (), several other variants have been reported, some of which might have circulated a while beforehand. Publicly available metagenomic data provide an opportunity to reanalyze samples to understand the evolutionary history of recently discovered antimicrobial resistance genes (ARGs). Here, we present a large-scale metagenomic study of 442 Tbp of sequencing reads from 214,095 samples to describe the dissemination and emergence of nine gene variants ( to ). Our results show that the dissemination of each variant is not uniform. Instead, the source and location play a role in the spread. However, the genomic context and the genes themselves remain primarily unchanged. We report evidence of new subvariants occurring in specific environments, such as a highly prevalent and new variant of . This work emphasizes the importance of sharing genomic data for the surveillance of ARGs in our understanding of antimicrobial resistance. The ever-growing collection of metagenomic samples available in public data repositories has the potential to reveal new details on the emergence and dissemination of mobilized colistin resistance genes. Our analysis of metagenomes deposited online in the last 10 years shows that the environmental distribution of gene variants depends on sampling source and location, possibly leading to the emergence of new variants, although the contig on which the genes were found remained consistent.

摘要

自最初发现可移动多粘菌素耐药基因 () 以来,已经报道了其他几种变体,其中一些可能在此之前已经传播了一段时间。公开可用的宏基因组数据为重新分析样本提供了机会,以了解最近发现的抗生素耐药基因 (ARGs) 的进化历史。在这里,我们进行了一项大规模的宏基因组研究,对来自 214095 个样本的 442 个 Tbp 测序reads 进行了分析,以描述 9 种 基因变体 ( 到 ) 的传播和出现。我们的结果表明,每个变体的传播并不均匀。相反,来源和位置在传播中起作用。然而,基因组背景和基因本身基本保持不变。我们报告了在特定环境中出现新亚变体的证据,例如一种高度流行和新的变体 。这项工作强调了共享基因组数据对于监测 ARGs 的重要性,有助于我们对抗生素耐药性有更深入的了解。公共数据存储库中不断增加的宏基因组样本集合有可能揭示有关可移动多粘菌素耐药基因出现和传播的新细节。我们对过去 10 年在线存储的宏基因组进行的分析表明,基因变体的环境分布取决于采样来源和位置,这可能导致新变体的出现,尽管发现 基因的基因座仍然一致。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/96b0/9040840/24fb97498a97/msystems.00105-22-f001.jpg

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