Dmitrijeva Marija, Ruscheweyh Hans-Joachim, Feer Lilith, Li Kang, Miravet-Verde Samuel, Sintsova Anna, Mende Daniel R, Zeller Georg, Sunagawa Shinichi
Department of Biology, Institute of Microbiology and Swiss Institute of Bioinformatics, ETH Zürich, 8093 Zürich, Switzerland.
Medical Microbiology and Infection Prevention (MMI), Amsterdam University Medical Center, 1105AZ Amsterdam, The Netherlands.
Nucleic Acids Res. 2025 Jan 6;53(D1):D797-D805. doi: 10.1093/nar/gkae1004.
Determining the taxonomic composition (taxonomic profiling) is a fundamental task in studying environmental and host-associated microbial communities. However, genome-resolved microbial diversity on Earth remains undersampled, and accessing the genomic context of taxa detected during taxonomic profiling remains a challenging task. Here, we present the mOTUs online database (mOTUs-db), which is consistent with and interfaces with the mOTUs taxonomic profiling tool. It comprises 2.83 million metagenome-assembled genomes (MAGs) and 919 090 single-cell and isolate genomes from 124 295 species-level taxonomic units. In addition to being one of the largest prokaryotic genome resources to date, all MAGs in the mOTUs-db were reconstructed de novo in 117 902 individual samples by abundance correlation of scaffolds across multiple samples for improved quality metrics. The database complements the Genome Taxonomy Database, with over 50% of its species-level taxonomic groups being unique. It also offers interactive querying, enabling users to explore and download genomes at various taxonomic levels. The mOTUs-db is accessible at https://motus-db.org.
确定分类组成(分类剖析)是研究环境和宿主相关微生物群落的一项基本任务。然而,地球上基于基因组解析的微生物多样性仍未得到充分采样,且在分类剖析过程中检测到的分类单元的基因组背景信息获取仍然是一项具有挑战性的任务。在此,我们展示了在线数据库mOTUs(mOTUs-db),它与mOTUs分类剖析工具兼容并相互衔接。该数据库包含来自124295个物种水平分类单元的283万个宏基因组组装基因组(MAG)以及919090个单细胞和分离基因组。除了是迄今为止最大的原核生物基因组资源之一外,mOTUs-db中的所有MAG都是通过跨多个样本的支架丰度相关性在117902个单独样本中从头重建的,以改善质量指标。该数据库补充了基因组分类数据库,其超过50%的物种水平分类组是独一无二的。它还提供交互式查询,使用户能够在不同分类水平上探索和下载基因组。可通过https://motus-db.org访问mOTUs-db。