mOTUs annotation database (v4)

Zenodo (CERN European Organization for Nuclear Research)

Abstract

Note: This is version 4.1 of the mOTUs annotation database. It directly relates version 4.1 of the mOTUs genome database. Changes: The clustering, the mOTUs, the MGCs and MGs are unchanged from 4.0 to 4.1 ~150k MAGs from extreme environments were added. Those MAGs were associated with existing mOTUs where possible or assigned to the no_mOTU group Access to the functional annotation of the 150K MAGs added to the motus genomes routine Updated GTDB taxonomy from R220 to R226 for all genomes in the mOTUs database Annotation Database for the marker gene-based OTU (mOTU) tool (v4). The mOTUs profiler is a computational tool that estimates relative abundance of known and unknown microbial community members using metagenomic shotgun sequencing data. The annotation database aggregates KEGG, PFAM and EGGNOG annotations for all genomes in the mOTUs-db into a single database. Annotations are then accessible via the mOTUs tool. Github directory of the tool: link In the current version, 124,295 species-level taxonomic units (mOTUs) were constructed using sequences of 10 single-copy marker genes recovered from mOTUs-db, a collection of 2.83 million metagenome-assembled genomes (MAGs) and 919 090 single-cell and isolate genomes. 30,256 mOTUs are represented by an isolate genome, whereas 94,039 mOTUs are represented by MAGs only. The source genome database is accessible at https://motus-db.org/.

Authors 8

1. Hans-Joachim Ruscheweyh

   SIB Swiss Institute of Bioinformatics · ETH Zurich

   Affiliation as printed

   ETH Zurich

   SIB Swiss Institute of Bioinformatics

2. Marija Dmitrijeva

   SIB Swiss Institute of Bioinformatics · ETH Zurich

   Affiliation as printed

   SIB Swiss Institute of Bioinformatics

   ETH Zurich

3. Lilith Feer

   ETH Zurich

   Affiliation as printed

   ETH Zurich

4. Samuel Miravet‐Verde

   ETH Zurich

   Affiliation as printed

   ETH Zurich

5. Anna Sintsova

   SIB Swiss Institute of Bioinformatics · ETH Zurich

   Affiliation as printed

   ETH Zurich

   SIB Swiss Institute of Bioinformatics

6. Daniel R. Mende

   Keio University

   Affiliation as printed

   Keio University

7. Georg Zeller Aachen

   Leiden University

   Affiliation as printed

   Leiden University

8. Shinichi Sunagawa

   SIB Swiss Institute of Bioinformatics · ETH Zurich

   Affiliation as printed

   ETH Zurich

   SIB Swiss Institute of Bioinformatics