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Updated: Feb 13, 2026

Visual and Microscopic Evaluation of Streptomyces Developmental Mutants
Published on: September 12, 2018
Comprehensive subcellular topologies of polypeptides in Streptomyces
Konstantinos C Tsolis1, Evridiki-Pandora Tsare2,3, Georgia Orfanoudaki4
1Laboratory of Molecular Bacteriology, Dpt. of Microbiology and Immunology, Rega Institute, KU Leuven, Herestraat 49, 3000, Leuven, Belgium.
We created the Subcellular Topology of Polypeptides in Streptomyces database (SToPSdb) to map bacterial protein locations. This resource aids genetic engineering by detailing Streptomyces proteomes and improving cell factory efficiency.
Area of Science:
- Microbiology
- Proteomics
- Bioinformatics
Background:
- Streptomyces are Gram-positive bacteria, crucial as cell factories for metabolites and protein secretion.
- Their large genomes and proteomes present complex challenges for metabolic regulation and genetic engineering.
Purpose of the Study:
- To comprehensively annotate the subcellular localization of the Streptomyces lividans TK24 proteome.
- To develop and provide public access to the Subcellular Topology of Polypeptides in Streptomyces database (SToPSdb).
Main Methods:
- Introduced uniform nomenclature, re-annotating approximately 4000 proteins.
- Assigned protein localization de novo using prediction tools and manual curation for 7494 proteins.
- Linked S. lividans proteome with Streptomyces coelicolor and Escherichia coli via homology, accessible via a web interface.
Main Results:
- Developed SToPSdb, a comprehensive resource for S. lividans protein localization.
- Included 183 proteins from recent genome re-annotation not found in other databases.
- Incorporated experimental proteomics data for 579 proteins, validating protein existence and topology, and identified vesicle-released proteins.
Conclusions:
- SToPSdb is an updated, comprehensive annotation resource for S. lividans and other streptomycetes.
- It serves as a foundation for integrating experimental proteomics, genomics, and metabolomics data.
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