Published March 15, 2023 | Version 1
Dataset Open

MICOM model databases version 1

  • 1. Institute for Systems Biology

Description

This repository includes pre-built model databases for the microbial community modeling tool MICOM (https://micom-dev.github.io/micom). All model databases will work with the MICOM python package or the MICOM Qiime 2 plugin (http://github.com/micom-dev/q2-micom).

The Zenodo release is built and versioned automatically from the the source repository at http://github.com/micom-dev/databases. Thus, all bug reports, requests, and comments should be made there.
Model databases are named with the following scheme:
SOURCE_SVER_TAXONOMY_RANK_VERSION.qza
where:

  • SOURCE = source database for the models
  • SVER = version of the source database
  • TAXONOMY = the taxonomy naming scheme used
  • RANK = the taxonomic rank models were collapsed on
  • VERSION = the version of the built database
For all practical purposes the TAXONOMY should coincide with the taxonomic classification of your amplicons or genomes. For instance, if you used kraken2 and bracken2 you should use a model database with TAXONOMY = ncbi. Note that some taxonomy databases (GTDB, GreenGenes) prefix taxonomy identifiers with a rank indentifier like `s__Species`. Those are usually maintained in the databases here except for the NCBI Taxonomy which usually does not use those. You can verify taxon names using the manifests in the `release` section of http://github.com/micom-dev/databases .

For growth media that can be used with the model databases here please see the MICOM media repository at https://github.com/micom-dev/media.

Files

Files (3.7 GB)

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md5:839f8ba3848eb7831facd59ad8be09e6
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Additional details

References

  • Diener C, Gibbons SM, Resendis-Antonio O. MICOM: Metagenome-Scale Modeling To Infer Metabolic Interactions in the Gut Microbiota. mSystems. 2020 Jan 21;5(1):e00606-19. doi: 10.1128/mSystems.00606-19. PMID: 31964767; PMCID: PMC6977071
  • Machado D, Andrejev S, Tramontano M, Patil KR. Fast automated reconstruction of genome-scale metabolic models for microbial species and communities. Nucleic Acids Res. 2018 Sep 6;46(15):7542-7553. doi: 10.1093/nar/gky537. PMID: 30192979; PMCID: PMC6125623
  • Magnúsdóttir S, Heinken A, Kutt L, Ravcheev DA, Bauer E, Noronha A, Greenhalgh K, Jäger C, Baginska J, Wilmes P, Fleming RM, Thiele I. Generation of genome-scale metabolic reconstructions for 773 members of the human gut microbiota. Nat Biotechnol. 2017 Jan;35(1):81-89. doi: 10.1038/nbt.3703. Epub 2016 Nov 28. PMID: 27893703
  • Zimmermann, J., Kaleta, C. & Waschina, S. gapseq: informed prediction of bacterial metabolic pathways and reconstruction of accurate metabolic models. Genome Biol 22, 81 (2021). doi: 10.1186/s13059-021-02295-1
  • Heinken, A., Hertel, J., Acharya, G. et al. Genome-scale metabolic reconstruction of 7,302 human microorganisms for personalized medicine. Nat Biotechnol (2023). doi: 10.1038/s41587-022-01628-0
  • Almeida, A., Nayfach, S., Boland, M. et al. A unified catalog of 204,938 reference genomes from the human gut microbiome. Nat Biotechnol 39, 105–114 (2021). doi: 10.1038/s41587-020-0603-3