Abate Adam, Li Xiangpeng, Xu Linfeng, Demaree Benjamin, Noecker Cecilia, Bisanz Jordan, Weisgerber Daniel, Modavi Cyrus, Turnbaugh Peter
University of California, San Francisco.
Res Sq. 2023 Sep 14:rs.3.rs-3253785. doi: 10.21203/rs.3.rs-3253785/v1.
Single cell sequencing is useful for resolving complex systems into their composite cell types and computationally mining them for unique features that are masked in pooled sequencing. However, while commercial instruments have made single cell analysis widespread for mammalian cells, analogous tools for microbes are limited. Here, we present EASi-seq (Easily Accessible Single microbe sequencing). By adapting the single cell workflow of the commercial Mission Bio Tapestri instrument, this method allows for efficient sequencing of individual microbes' genomes. EASi-seq allows thousands of microbes to be sequenced per run and, as we show, can generate detailed atlases of human and environmental microbiomes. The ability to capture large shotgun genome datasets from thousands of single microbes provides new opportunities in discovering and analyzing species subpopulations. To facilitate this, we develop a companion bioinformatic pipeline that clusters microbes by similarity, improving whole genome assembly, strain identification, taxonomic classification, and gene annotation. In addition, we demonstrate integration of metagenomic contigs with the EASi-seq datasets to reduce capture bias and increase coverage. Overall, EASi-seq enables high quality single cell genomic data for microbiome samples using an accessible workflow that can be run on a commercially available platform.
单细胞测序有助于将复杂系统分解为其组成细胞类型,并通过计算挖掘其中在混合测序中被掩盖的独特特征。然而,虽然商业仪器已使单细胞分析在哺乳动物细胞中广泛应用,但针对微生物的类似工具却很有限。在此,我们介绍EASi-seq(易于获取的单微生物测序)。通过改编商业Mission Bio Tapestri仪器的单细胞工作流程,该方法可实现对单个微生物基因组的高效测序。EASi-seq每次运行可对数千个微生物进行测序,正如我们所展示的,它能够生成人类和环境微生物群落的详细图谱。从数千个单个微生物中捕获大量鸟枪法基因组数据集的能力,为发现和分析物种亚群提供了新机遇。为推动这一进程,我们开发了一个配套的生物信息学流程,该流程通过相似性对微生物进行聚类,改进全基因组组装、菌株鉴定、分类学分类和基因注释。此外,我们展示了宏基因组重叠群与EASi-seq数据集的整合,以减少捕获偏差并增加覆盖范围。总体而言,EASi-seq使用一种可在商业可用平台上运行的便捷工作流程,为微生物群落样本提供高质量的单细胞基因组数据。