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

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

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Abstract

BACKGROUND: Microbial culture collections play a key role in taxonomy by studying the diversity of their strains and providing well-characterized biological material 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 were studied, resulting in the GEN-ERA toolbox. The latter is a unified cluster of bioinformatic workflows dedicated to both bacteria and small eukaryotes (e.g., yeasts).

FINDINGS: This public toolbox allows researchers without a specific training in bioinformatics to perform robust phylogenomic 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 DETAILS: Nextflow 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.

TESTING: The 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 the Gloeobacterales order, the first group to diverge in the evolutionary tree of Cyanobacteria.

CONCLUSION: The 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 used by all researchers interested in microbial taxonomy, as exemplified by our case study on Gloeobacterales.

Original languageEnglish
JournalGigaScience
Volume12
Pages (from-to)giad022
ISSN2047-217X
DOIs
Publication statusPublished - 2022

Keywords

  • Workflow
  • Reproducibility of Results
  • Genomics/methods
  • Computational Biology/methods
  • Genome, Microbial
  • Phylogeny

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