MuDoGeR: Multi‐Domain Genome recovery from metagenomes made easy

Author:

Rocha Ulisses1ORCID,Coelho Kasmanas Jonas12,Kallies René1,Saraiva Joao Pedro1,Toscan Rodolfo Brizola1,Štefanič Polonca3,Bicalho Marcos Fleming1,Borim Correa Felipe1,Baştürk Merve Nida1,Fousekis Efthymios1,Viana Barbosa Luiz Miguel1,Plewka Julia4,Probst Alexander J.4,Baldrian Petr5ORCID,Stadler Peter F.6789,

Affiliation:

1. Department of Environmental Microbiology Helmholtz Centre for Environmental Research – UFZ Leipzig Germany

2. Institute of Mathematics and Computer Sciences University of São Paulo São Carlos Brazil

3. Biotechnical Faculty University of Ljubljana Ljubljana Slovenia

4. Environmental Microbiology and Biotechnology, Department of Chemistry University of Duisburg‐Essen Essen Germany

5. Laboratory of Environmental Microbiology Institute of Microbiology of the Czech Academy of Sciences Praha 4 Czech Republic

6. Department of Computer Science and Interdisciplinary Center of Bioinformatics University of Leipzig Leipzig Germany

7. Max Planck Institute for Mathematics in the Sciences Leipzig Germany

8. Institute for Theoretical Chemistry University of Vienna Vienna Austria

9. The Santa Fe Institute Santa Fe New Mexico USA

Abstract

AbstractSeveral computational frameworks and workflows that recover genomes from prokaryotes, eukaryotes and viruses from metagenomes exist. Yet, it is difficult for scientists with little bioinformatics experience to evaluate quality, annotate genes, dereplicate, assign taxonomy and calculate relative abundance and coverage of genomes belonging to different domains. MuDoGeR is a user‐friendly tool tailored for those familiar with Unix command‐line environment that makes it easy to recover genomes of prokaryotes, eukaryotes and viruses from metagenomes, either alone or in combination. We tested MuDoGeR using 24 individual‐isolated genomes and 574 metagenomes, demonstrating the applicability for a few samples and high throughput. While MuDoGeR can recover eukaryotic viral sequences, its characterization is predominantly skewed towards bacterial and archaeal viruses, reflecting the field's current state. However, acting as a dynamic wrapper, the MuDoGeR is designed to constantly incorporate updates and integrate new tools, ensuring its ongoing relevance in the rapidly evolving field. MuDoGeR is open‐source software available at https://github.com/mdsufz/MuDoGeR. Additionally, MuDoGeR is also available as a Singularity container.

Funder

Deutsche Forschungsgemeinschaft

Fundação de Amparo à Pesquisa do Estado de São Paulo

German Network for Bioinformatics Infrastructure

Helmholtz-Gemeinschaft

Lundin Energy Norway

Publisher

Wiley

Subject

Genetics,Ecology, Evolution, Behavior and Systematics,Biotechnology

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