PLSDB: advancing a comprehensive database of bacterial plasmids

Area of Science:

• Genomics
• Bioinformatics
• Microbiology

Background:

• Plasmids carry crucial genes for virulence and antibiotic resistance, making them vital in metagenomic studies.
• The rapid growth of metagenomics data has led to an increase in false positives from misassembled plasmids.
• Existing plasmid databases require continuous updates and improved functionality to address these challenges.

Purpose of the Study:

• To present an updated and enhanced version of the Plasmid Database (PLSDB).
• To improve the reliability and usability of plasmid data for metagenomic research.
• To provide researchers with better tools for identifying and analyzing plasmids in complex biological samples.

Main Methods:

• Aggregation of community feedback to guide database improvements.
• Implementation of new filtering, annotation, and preprocessing steps for enhanced data quality.
• Development of a new web-server with improved user interaction and visualization features.
• Creation of an application programming interface (API) and Python library for automated database queries.

Main Results:

• The PLSDB has expanded to over 34,513 entries, more than doubling its previous size.
• Significant improvements in data quality, analysis functionality, performance, and accessibility have been implemented.
• New web-server features facilitate deeper understanding of custom sequences through similarity visualization.
• API and Python library enable seamless integration into automated bioinformatics workflows.

Conclusions:

• The updated PLSDB serves as a reliable and significantly improved resource for plasmid identification in metagenomics.
• Enhanced features and accessibility empower researchers to more effectively analyze plasmid-borne traits.
• The continuous development of PLSDB supports the growing needs of large-scale metagenomic data analysis.