Abasy Atlas: A comprehensive inventory of systems, global network properties and systems-level elements across bacteria

TL;DR

Abasy Atlas offers a comprehensive, curated inventory of bacterial regulatory systems, network properties, and system-level elements, facilitating comparative and systems biology research across diverse bacteria.

Contribution

This work provides the first global cartography of bacterial regulatory network architectures using a meta-curated dataset and natural decomposition approach.

Findings

Contains data for 50 regulatory networks across 42 bacteria.

Includes 78,649 regulatory interactions, 3,708 regulons, and 1,776 systems.

Provides a reliable, comprehensive resource for studying bacterial regulatory systems.

Abstract

The availability of databases electronically encoding curated regulatory networks and of high-throughput technologies and methods to discover regulatory interactions provides an invaluable source of data to understand the principles underpinning the organization and evolution of these networks responsible for cellular regulation. Nevertheless, data on these sources never goes beyond the regulon level despite the fact that regulatory networks are complex hierarchical-modular structures still challenging our understanding. This brings the necessity for an inventory of systems across a large range of organisms, a key step to rendering feasible comparative systems biology approaches. In this work, we take the first step towards a global understanding of the regulatory networks organization by making a cartography of the functional architectures of diverse bacteria. Abasy (Across-bacteria systems) Atlas provides a comprehensive inventory of annotated functional systems, global network properties, and systems-level elements (global regulators, modular genes shaping functional systems, basal machinery genes, and intermodular genes) predicted by the natural decomposition approach for reconstructed and meta-curated regulatory networks across a large range of bacteria, including pathogenically and biotechnologically relevant organisms. The meta-curation of regulatory datasets provides the most complete and reliable set of regulatory interactions currently available. Abasy Atlas contains systems and system-level elements for 50 regulatory networks comprising 78,649 regulatory interactions covering 42 bacteria in nine taxa, containing 3,708 regulons and 1,776 systems. All this brings together a large corpus of data that will surely inspire studies to generate hypothesis regarding the principles governing the evolution and organization of systems and the functional architectures controlling them.