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
Funding: - National Key Research and Development Program: 2018YFA0903702 - National Natural Science Foundation of China: 31871335