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靶向细胞分选结合单细胞基因组学能够捕获低丰度微生物暗物质,其灵敏度高于宏基因组学。

Targeted Cell Sorting Combined With Single Cell Genomics Captures Low Abundant Microbial Dark Matter With Higher Sensitivity Than Metagenomics.

作者信息

Dam Hang T, Vollmers John, Sobol Morgan S, Cabezas Angela, Kaster Anne-Kristin

机构信息

Institute for Biological Interfaces 5, Karlsruhe Institute of Technology, Eggenstein-Leopoldshafen, Germany.

Leibniz Institute DSMZ, Brunswick, Germany.

出版信息

Front Microbiol. 2020 Jul 22;11:1377. doi: 10.3389/fmicb.2020.01377. eCollection 2020.

Abstract

Rare members of environmental microbial communities are often overlooked and unexplored, primarily due to the lack of techniques capable of acquiring their genomes. Chloroflexi belong to one of the most understudied phyla, even though many of its members are ubiquitous in the environment and some play important roles in biochemical cycles or biotechnological applications. We here used a targeted cell-sorting approach, which enables the selection of specific taxa by fluorescent labeling and is compatible with subsequent single-cell genomics, to enrich for rare Chloroflexi species from a wastewater-treatment plant and obtain their genomes. The combined workflow was able to retrieve a substantially higher number of novel Chloroflexi draft genomes with much greater phylogenetical diversity when compared to a metagenomics approach from the same sample. The method offers an opportunity to access genetic information from rare biosphere members which would have otherwise stayed hidden as microbial dark matter and can therefore serve as an essential complement to cultivation-based, metagenomics, and microbial community-focused research approaches.

摘要

环境微生物群落中的稀有成员往往被忽视且未得到充分研究,这主要是由于缺乏能够获取其基因组的技术。尽管绿弯菌门的许多成员在环境中普遍存在,并且一些成员在生物化学循环或生物技术应用中发挥着重要作用,但它仍是研究最少的门类之一。我们在此采用了一种靶向细胞分选方法,该方法能够通过荧光标记选择特定的分类群,并且与后续的单细胞基因组学兼容,以从一家污水处理厂富集稀有绿弯菌物种并获取其基因组。与来自同一样本的宏基因组学方法相比,这种组合工作流程能够检索到数量显著更多、系统发育多样性更高的新型绿弯菌基因组草图。该方法为获取稀有生物圈成员的遗传信息提供了机会,否则这些信息将作为微生物暗物质而隐藏起来,因此可以作为基于培养、宏基因组学和以微生物群落为重点的研究方法的重要补充。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d913/7387413/8f3146404919/fmicb-11-01377-g001.jpg

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