Mslar: Microbial synthetic lethal and rescue database

Sen-Bin Zhu1,2, Qian-Hu Jiang1, Zhi-Guo Chen1

  • 1School of Life Science and Technology, Center for Informational Biology, University of Electronic Science and Technology of China, Chengdu, China.

PubMed

Insights

Synthetic lethality (SL) and synthetic rescue (SR) gene pairs are crucial for understanding microbial genetics. We developed the Microbial Synthetic Lethal and Rescue Database (Mslar) to catalog these interactions, aiding researchers.

Area of Science:

  • Microbial genetics
  • Systems biology
  • Genomics

Background:

  • Synthetic lethality (SL) is a genetic interaction where mutations in two genes cause cell death, but not a single mutation.
  • Existing methods for predicting SL gene pairs are primarily focused on model organisms like yeast and E. coli.
  • A centralized resource for microbial SL and synthetic rescue (SR) gene pairs is lacking.

Approach:

  • Developed the Microbial Synthetic Lethal and Rescue Database (Mslar) to curate literature-reported and computationally predicted SL/SR gene pairs.
  • Collected 13,313 literature-reported SL and 2,994 SR gene pairs.
  • Identified 86,981 putative SL pairs across 281 bacterial genomes using homologous transfer.

Key Points:

  • The Mslar database provides comprehensive data on microbial SL and SR gene pairs.
  • The website offers search, browse, visualization, and BLAST functionalities for data exploration.
  • Analysis of S. cerevisiae data revealed similar essentiality ratios for duplicated genes and singletons in the context of SL.

Conclusions:

  • Mslar serves as a valuable reference for microbial genetics research.
  • The database facilitates the study of synthetic lethality and rescue interactions in microorganisms.
  • Mslar is freely accessible online for the research community.

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