Structural and Computational Biology Unit, European Molecular Biology Laboratory, 69117 Heidelberg, Germany.
Institute of Microbiology, Department of Biology and Swiss Institute of Bioinformatics, ETH Zurich, Vladimir-Prelog-Weg 4, 8093 Zurich, Switzerland.
Nucleic Acids Res. 2024 Jan 5;52(D1):D777-D783. doi: 10.1093/nar/gkad943.
Meta'omic data on microbial diversity and function accrue exponentially in public repositories, but derived information is often siloed according to data type, study or sampled microbial environment. Here we present SPIRE, a Searchable Planetary-scale mIcrobiome REsource that integrates various consistently processed metagenome-derived microbial data modalities across habitats, geography and phylogeny. SPIRE encompasses 99 146 metagenomic samples from 739 studies covering a wide array of microbial environments and augmented with manually-curated contextual data. Across a total metagenomic assembly of 16 Tbp, SPIRE comprises 35 billion predicted protein sequences and 1.16 million newly constructed metagenome-assembled genomes (MAGs) of medium or high quality. Beyond mapping to the high-quality genome reference provided by proGenomes3 (http://progenomes.embl.de), these novel MAGs form 92 134 novel species-level clusters, the majority of which are unclassified at species level using current tools. SPIRE enables taxonomic profiling of these species clusters via an updated, custom mOTUs database (https://motu-tool.org/) and includes several layers of functional annotation, as well as crosslinks to several (micro-)biological databases. The resource is accessible, searchable and browsable via http://spire.embl.de.
元组学数据在公共存储库中呈指数级增长,记录了微生物多样性和功能,但衍生信息通常根据数据类型、研究或采样的微生物环境进行隔离。在这里,我们展示了 SPIRE,这是一个可搜索的行星规模微生物资源,整合了各种一致处理的宏基因组衍生微生物数据模式,涵盖了各种生境、地理和系统发育。SPIRE 包含了来自 739 项研究的 99146 个宏基因组样本,涵盖了广泛的微生物环境,并辅以手动编目整理的上下文数据。在总计 16 Tbp 的宏基因组组装中,SPIRE 包含了 350 亿个预测蛋白序列和 116 万个新构建的中高质量宏基因组组装基因组 (MAG)。除了映射到 proGenomes3 提供的高质量基因组参考(http://progenomes.embl.de)外,这些新的 MAG 形成了 92134 个新的种级聚类,其中大多数使用当前工具在种级未分类。SPIRE 通过更新的自定义 mOTUs 数据库 (https://motu-tool.org/) 实现了这些物种聚类的分类分析,并包含了几个功能注释层,以及到几个(微)生物学数据库的交叉链接。该资源可通过 http://spire.embl.de 进行访问、搜索和浏览。