EnsembleSeq:一种实时、快速、同时进行多菌群扩增子测序的工作流程,用于大规模进行整体且资源有效的微生物组研究。
EnsembleSeq: a workflow towards real-time, rapid, and simultaneous multi-kingdom-amplicon sequencing for holistic and resource-effective microbiome research at scale.
机构信息
CSIR-Institute of Genomics and Integrative Biology, New Delhi, India.
Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, India.
出版信息
Microbiol Spectr. 2024 Jun 4;12(6):e0415023. doi: 10.1128/spectrum.04150-23. Epub 2024 Apr 30.
UNLABELLED
Bacterial communities are often concomitantly present with numerous microorganisms in the human body and other natural environments. Amplicon-based microbiome studies have generally paid skewed attention, that too at a rather shallow genus level resolution, to the highly abundant bacteriome, with interest now forking toward the other microorganisms, particularly fungi. Given the generally sparse abundance of other microbes in the total microbiome, simultaneous sequencing of amplicons targeting multiple microbial kingdoms could be possible even with full multiplexing. Guiding studies are currently needed for performing and monitoring multi-kingdom-amplicon sequencing and data capture at scale. Aiming to address these gaps, amplification of full-length bacterial 16S rRNA gene and entire fungal internal-transcribed spacer (ITS) region was performed for human saliva samples ( = 96, including negative and positive controls). Combined amplicon DNA libraries were prepared for nanopore sequencing using a major fraction of 16S molecules and a minor fraction of ITS amplicons. Sequencing was performed in a single run of an R10.4.1 flow cell employing the latest V14 chemistry. An approach for real-time monitoring of the species saturation using dynamic rarefaction was designed as a guiding determinant of optimal run time. Real-time saturation monitoring for both bacterial and fungal species enabled the completion of sequencing within 30 hours, utilizing less than 60% of the total nanopores. Approximately 5 million high quality (HQ) taxonomically assigned reads were generated (~4.2 million bacterial and 0.7 million fungal), providing a wider (beyond bacteriome) snapshot of human oral microbiota at species-level resolution. Among the more than 400 bacterial and 240 fungal species identified in the studied samples, the species of (e.g., and ) and (e.g., and ) were observed to be the dominating microbes in the oral cavity, respectively. This conformed well with the previous reports of the human oral microbiota. EnsembleSeq provides a proof-of-concept toward the identification of both fungal and bacterial species simultaneously in a single fully multiplexed nanopore sequencing run in a time- and resource-effective manner. Details of this workflow, along with the associated codebase, are provided to enable large-scale application for a holistic species-level microbiome study.
IMPORTANCE
Human microbiome is a sum total of a variety of microbial genomes (including bacteria, fungi, protists, viruses, etc.) present in and on the human body. Yet, a majority of amplicon-based microbiome studies have largely remained skewed toward bacteriome as an assumed proxy of the total microbiome, primarily at a shallow genus level. Cost, time, effort, data quality/management, and importantly lack of guiding studies often limit progress in the direction of moving beyond bacteriome. Here, EnsembleSeq presents a proof-of-concept toward concomitantly capturing multiple-kingdoms of microorganisms (bacteriome and mycobiome) in a fully multiplexed (96-sample) single run of long-read amplicon sequencing. In addition, the workflow captures dynamic tracking of species-level saturation in a time- and resource-effective manner.
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细菌群落通常与人体和其他自然环境中的许多微生物同时存在。基于扩增子的微生物组研究通常对高度丰富的细菌群落给予了倾斜的关注,而且只是在相当浅的属水平分辨率上,现在的兴趣转向了其他微生物,特别是真菌。鉴于其他微生物在总微生物组中的普遍丰度较低,即使进行完全多重扩增,同时对多个微生物王国的扩增子进行测序也可能是可行的。目前需要指导研究来进行和监测多王国扩增子测序和规模化数据捕获。本研究旨在解决这些差距,对人类唾液样本(= 96 个样本,包括阴性和阳性对照)进行全长细菌 16S rRNA 基因和整个真菌内部转录间隔区(ITS)区域的扩增。为纳米孔测序制备组合扩增子 DNA 文库,使用 16S 分子的主要部分和 ITS 扩增子的次要部分。在单个 R10.4.1 流池运行中进行测序,使用最新的 V14 化学物质。设计了一种使用动态稀疏实时监测物种饱和度的方法,作为确定最佳运行时间的指导决定因素。细菌和真菌物种的实时饱和度监测使测序能够在 30 小时内完成,仅使用不到 60%的总纳米孔。生成了约 500 万个高质量(HQ)分类分配的读取(~420 万个细菌和 70 万个真菌),以物种水平分辨率提供了更广泛(超越细菌群落)的人类口腔微生物组快照。在所研究的样本中鉴定出的 400 多种细菌和 240 多种真菌中, (例如 和 )和 (例如 和 )被观察到是口腔中占主导地位的微生物。这与先前关于人类口腔微生物组的报告非常吻合。 EnsembleSeq 提供了一个概念验证,证明可以在时间和资源有效的方式下,在单个完全多重纳米孔测序运行中同时识别真菌和细菌物种。提供了此工作流程的详细信息以及相关的代码库,以支持大规模应用于整体物种水平微生物组研究。
意义
人类微生物组是存在于人体内部和表面的各种微生物基因组(包括细菌、真菌、原生动物、病毒等)的总和。然而,大多数基于扩增子的微生物组研究在很大程度上仍然偏向于将细菌群落作为总微生物组的假设代表,主要是在浅层属水平。成本、时间、精力、数据质量/管理,以及重要的是缺乏指导研究,往往限制了向超越细菌群落的方向发展。在这里, EnsembleSeq 提供了一个概念验证,证明可以在完全多重(96 个样本)长读扩增子测序单次运行中同时捕获多个微生物王国(细菌群落和真菌群落)。此外,该工作流程以时间和资源有效的方式捕获物种水平饱和度的动态跟踪。
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