Mslar
Mslar catalogs curated and predicted synthetic lethal (SL) and synthetic rescue (SR) gene interactions in microbial genomes to support genetic interaction research.
Key Features:
- Curated experimental SL pairs: Contains 13,313 experimentally validated synthetic lethal gene pairs extracted from the literature.
- Curated experimental SR pairs: Contains 2,994 experimentally validated synthetic rescue gene pairs extracted from the literature.
- Putative SL predictions by homologous transfer: Includes 86,981 putative SL pairs inferred via homologous transfer across 281 bacterial genomes.
- Sequence similarity searches (BLAST): Provides BLAST-based sequence searches for identifying homologs and mapping relationships relevant to SL/SR pairs.
- Saccharomyces cerevisiae SL analysis: Includes an analysis examining essentiality of duplicated genes versus singletons in SL contexts for S. cerevisiae.
Scientific Applications:
- Microbial genetic interaction mapping: Supports investigation and cataloging of synthetic lethality and synthetic rescue relationships within microbial systems.
- Comparative genomics of SL interactions: Enables identification and transfer of SL relationships across bacterial genomes via homologous mapping.
- Study of genetic redundancy and essentiality: Facilitates analysis of essentiality patterns in duplicated genes versus singletons, exemplified by S. cerevisiae data.
- Reference dataset for experimental studies: Serves as a consolidated dataset of validated and predicted SL/SR pairs for hypothesis generation and experimental planning.
Methodology:
Putative SL pairs were identified using homologous transfer across genomes; BLAST searches were used for sequence-based mapping and homology detection; S. cerevisiae analyses compared essentiality between duplicated genes and singletons.
Topics
Details
- Cost:
- Free of charge
- Tool Type:
- web application
- Operating Systems:
- Mac, Linux, Windows
- Added:
- 1/26/2024
- Last Updated:
- 11/24/2024
Operations
Publications
Zhu S, Jiang Q, Chen Z, Zhou X, Jin Y, Deng Z, Guo F. Mslar: Microbial synthetic lethal and rescue database. PLOS Computational Biology. 2023;19(6):e1011218. doi:10.1371/journal.pcbi.1011218. PMID:37289843. PMCID:PMC10284384.
PMID: 37289843
PMCID: PMC10284384
Funding: - National Key Research and Development Program: 2018YFA0903702
- National Natural Science Foundation of China: 31871335