Skip to main content
bioRxiv
  • Home
  • About
  • Submit
  • ALERTS / RSS
Advanced Search
New Results

Abasy Atlas v2.2: The most comprehensive and up-to-date inventory of meta-curated, historical, bacterial regulatory networks, their completeness and system-level characterization

Juan M. Escorcia-Rodríguez, Andreas Tauch, View ORCID ProfileJulio A. Freyre-González
doi: https://doi.org/10.1101/2020.05.04.077420
Juan M. Escorcia-Rodríguez
1Regulatory Systems Biology Research Group, Laboratory of Systems and Synthetic Biology, Center for Genomic Sciences, Universidad Nacional Autónoma de México. Av. Universidad s/n, Col. Chamilpa, 62210. Cuernavaca, Morelos, México
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Andreas Tauch
2Centrum für Biotechnologie (CeBiTec). Universität Bielefeld, Universitätsstraße 27, 33615. Bielefeld, Germany
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Julio A. Freyre-González
1Regulatory Systems Biology Research Group, Laboratory of Systems and Synthetic Biology, Center for Genomic Sciences, Universidad Nacional Autónoma de México. Av. Universidad s/n, Col. Chamilpa, 62210. Cuernavaca, Morelos, México
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Julio A. Freyre-González
  • For correspondence: jfreyre@ccg.unam.mx
  • Abstract
  • Full Text
  • Info/History
  • Metrics
  • Supplementary material
  • Data/Code
  • Preview PDF
Loading

Abstract

Some organism-specific databases about regulation in bacteria have become larger, accelerated by high-throughput methodologies, while others are no longer updated or accessible. Each database homogenize its datasets, giving rise to heterogeneity across databases. Such heterogeneity mainly encompasses different names for a gene and different network representations, generating duplicated interactions that could bias network analyses. Abasy (Across-bacteria systems) Atlas consolidates information from different sources into meta-curated regulatory networks in bacteria. The high-quality networks in Abasy Atlas enable cross-organisms analyses, such as benchmarking studies where gold standards are required. Nevertheless, network incompleteness still casts doubts on the conclusions of network analyses, and available sampling methods cannot reflect the curation process. To tackle this problem, the updated version of Abasy Atlas presented in this work provides historical snapshots of regulatory networks. Thus, network analyses can be performed at different completeness levels, making possible to identify potential bias and to predict future results. We leverage the recently found constraint in the complexity of regulatory networks to develop a novel model to quantify the total number of regulatory interactions as a function of the genome size. This completeness estimation is a valuable insight that may aid in the daunting task of network curation, prediction, and validation. The new version of Abasy Atlas provides 76 networks (204,282 regulatory interactions) covering 42 bacteria (64% Gram-positive and 36% Gram-negative) distributed in 9 species (Mycobacterium tuberculosis, Bacillus subtilis, Escherichia coli, Corynebacterium glutamicum, Staphylococcus aureus, Pseudomonas aeruginosa, Streptococcus pyogenes, Streptococcus pneumoniae, and Streptomyces coelicolor), containing 8,459 regulons and 4,335 modules.

Database URL https://abasy.ccg.unam.mx/

Competing Interest Statement

The authors have declared no competing interest.

Footnotes

  • https://abasy.ccg.unam.mx

  • List of abbreviations

    GRN
    Gene regulatory network
    TFs
    Transcription factors
    TGs
    Target genes
    NDA
    Natural decomposition approach
  • Copyright 
    The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY 4.0 International license.
    Back to top
    PreviousNext
    Posted May 05, 2020.
    Download PDF

    Supplementary Material

    Data/Code
    Email

    Thank you for your interest in spreading the word about bioRxiv.

    NOTE: Your email address is requested solely to identify you as the sender of this article.

    Enter multiple addresses on separate lines or separate them with commas.
    Abasy Atlas v2.2: The most comprehensive and up-to-date inventory of meta-curated, historical, bacterial regulatory networks, their completeness and system-level characterization
    (Your Name) has forwarded a page to you from bioRxiv
    (Your Name) thought you would like to see this page from the bioRxiv website.
    CAPTCHA
    This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
    Share
    Abasy Atlas v2.2: The most comprehensive and up-to-date inventory of meta-curated, historical, bacterial regulatory networks, their completeness and system-level characterization
    Juan M. Escorcia-Rodríguez, Andreas Tauch, Julio A. Freyre-González
    bioRxiv 2020.05.04.077420; doi: https://doi.org/10.1101/2020.05.04.077420
    Digg logo Reddit logo Twitter logo Facebook logo Google logo LinkedIn logo Mendeley logo
    Citation Tools
    Abasy Atlas v2.2: The most comprehensive and up-to-date inventory of meta-curated, historical, bacterial regulatory networks, their completeness and system-level characterization
    Juan M. Escorcia-Rodríguez, Andreas Tauch, Julio A. Freyre-González
    bioRxiv 2020.05.04.077420; doi: https://doi.org/10.1101/2020.05.04.077420

    Citation Manager Formats

    • BibTeX
    • Bookends
    • EasyBib
    • EndNote (tagged)
    • EndNote 8 (xml)
    • Medlars
    • Mendeley
    • Papers
    • RefWorks Tagged
    • Ref Manager
    • RIS
    • Zotero
    • Tweet Widget
    • Facebook Like
    • Google Plus One

    Subject Area

    • Systems Biology
    Subject Areas
    All Articles
    • Animal Behavior and Cognition (3686)
    • Biochemistry (7774)
    • Bioengineering (5668)
    • Bioinformatics (21244)
    • Biophysics (10563)
    • Cancer Biology (8161)
    • Cell Biology (11912)
    • Clinical Trials (138)
    • Developmental Biology (6738)
    • Ecology (10388)
    • Epidemiology (2065)
    • Evolutionary Biology (13843)
    • Genetics (9694)
    • Genomics (13056)
    • Immunology (8123)
    • Microbiology (19956)
    • Molecular Biology (7832)
    • Neuroscience (42973)
    • Paleontology (318)
    • Pathology (1276)
    • Pharmacology and Toxicology (2256)
    • Physiology (3350)
    • Plant Biology (7208)
    • Scientific Communication and Education (1309)
    • Synthetic Biology (1999)
    • Systems Biology (5528)
    • Zoology (1126)