LogoMotif: a comprehensive database of transcription factor binding site profiles in Actinobacteria

Abstract

AbstractActinobacteria undergo a complex multicellular life cycle and produce a wide range of specialized metabolites, including the majority of the antibiotics. These biological processes are controlled by intricate regulatory pathways, and to better understand how they are controlled we need to augment our insights into the transcription factor binding sites. Here, we present LogoMotif (https://logomotif.bioinformatics.nl), an open-source database for characterized and predicted transcription factor binding sites in Actinobacteria, along with their cognate position weight matrices and hidden Markov models. Genome-wide predictions of binding site locations inStreptomycesmodel organisms are supplied and visualized in interactive regulatory networks. In the web interface, users can freely access, download and investigate the underlying data. With this curated collection of actinobacterial regulatory interactions, LogoMotif serves as a basis for binding site predictions, thus providing users with clues on how to elicit the expression of genes of interest and guide genome mining efforts.HighlightsActinobacterial regulatory networks are key for compound discovery, including antibiotics.Contains ∼400 validated and ∼12,100 predicted interactions, presented in interactive networks.Serves as foundation for regulatory predictions in the gene cluster detection tool, antiSMASH.LogoMotif’s data and algorithms provide knowledge on expression and functional inference of genes.LogoMotif aids in the discovery of novel chemistry within Actinobacteria and beyond.Graphical abstract