Integrating taxonomic signals from MAGs and contigs improves read annotation and taxonomic profiling of metagenomes

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Abstract

Metagenomic analysis typically includes read-based taxonomic profiling, assembly, and binning of metagenome-assembled genomes (MAGs). Here we integrate these steps in Read Annotation Tool (RAT), which uses robust taxonomic signals from MAGs and contigs to enhance read annotation. RAT reconstructs taxonomic profiles with high precision and sensitivity, outperforming other state-of-the-art tools. In high-diversity groundwater samples, RAT annotates a large fraction of the metagenomic reads, calling novel taxa at the appropriate, sometimes high taxonomic ranks. Thus, RAT integrative profiling provides an accurate and comprehensive view of the microbiome from shotgun metagenomics data. The package of Contig Annotation Tool (CAT), Bin Annotation Tool (BAT), and RAT is available at https://github.com/MGXlab/CAT_pack (from CAT pack v6.0). The CAT pack now also supports Genome Taxonomy Database (GTDB) annotations.

Original languageEnglish
Article number3373
Number of pages12
JournalNature Communications
Volume15
Issue number1
DOIs
Publication statusPublished - 20 Apr 2024

Bibliographical note

Publisher Copyright:
© The Author(s) 2024.

Funding

This work was supported by the European Research Council (Consolidator Grant 865694: DiversiPHI to B.E.D.), the Deutsche Forschungsgemeinschaft under Germany\u2019s Excellence Strategy (EXC 2051; Project-ID 390713860 to B.E.D.) and the Alexander von Humboldt Foundation in the context of an Alexander von Humboldt Professorship founded by the German Federal Ministry of Education and Research (to B.E.D.). We thank Nora B. Sutton and her group for providing us with groundwater metagenomes to use for this manuscript. We thank Jan Kees van Amerongen for critical technical support. We thank the members of TBB at the University of Utrecht for their valuable input on the text.

FundersFunder number
Bundesministerium für Bildung und Forschung
Universiteit Utrecht
Alexander von Humboldt-Stiftung
European Research Council865694
Deutsche Forschungsgemeinschaft390713860

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