The GEN-ERA toolbox: unified and reproducible workflows for research in microbial genomics

Author:

Cornet Luc,Durieu Benoit,Baert Frederik,D’hooge Elizabet,Colignon David,Meunier Loic,Lupo Valérian,Cleenwerck Ilse,Daniel Heide-Marie,Rigouts Leen,Sirjacobs Damien,Declerck Stéphane,Vandamme Peter,Wilmotte Annick,Baurain Denis,Becker Pierre

Abstract

AbstractBackgroundMicrobial culture collections play a key role in taxonomy by studying the diversity of their accessions and providing well characterized strains to the scientific community for fundamental and applied research. These microbial resource centers thus need to implement new standards in species delineation, including whole-genome sequencing and phylogenomics. In this context, the genomic needs of the Belgian Coordinated Collections of Microorganisms (BCCM) were studied, resulting in the GEN-ERA toolbox. The latter is a unified cluster of bioinformatic workflows dedicated to both bacteria and small eukaryotes (i.e. yeasts).FindingsThis public toolbox allows researchers without a specific training in bioinformatics to perform robust phylogenetic analyses. Hence, it facilitates all steps from genome downloading and quality assessment, including genomic contamination estimation, to tree reconstruction. It also offers workflows for average nucleotide identity comparisons and metabolic modeling.Technical detailsNextflow workflows are launched by a single command and are available on the GEN-ERA GitHub repository (https://github.com/Lcornet/GENERA). All the workflows are based on Singularity containers to increase reproducibility.TestingThe toolbox was developed for a diversity of microorganisms, including bacteria and fungi. It was further tested on an empirical dataset of 18 (meta)genomes of early-branching Cyanobacteria, providing the most up-to-date phylogenomic analysis of theGloeobacteralesorder, the first group to diverge in the evolutionary tree of Cyanobacteria.ConclusionThe GEN-ERA toolbox can be used to infer completely reproducible comparative genomic and metabolic analyses on prokaryotes and small eukaryotes. Although designed for routine bioinformatics of culture collections, it can also be useful for other applications, as shown by our case study onGloeobacterales.

Publisher

Cold Spring Harbor Laboratory

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