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Published on: May 27, 2021
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.
Abstract:
Synthetic lethality (SL) occurs when mutations in two genes together lead to cell or organism death, while a single mutation in either gene does not have a significant impact. This concept can also be extended to three or more genes for SL. Computational and experimental methods have been developed to predict and verify SL gene pairs, especially for yeast and Escherichia coli. However, there is currently a lack of a specialized platform to collect microbial SL gene pairs. Therefore, we designed a synthetic interaction database for microbial genetics that collects 13,313 SL and 2,994 Synthetic Rescue (SR) gene pairs that are reported in the literature, as well as 86,981 putative SL pairs got through homologous transfer method in 281 bacterial genomes. Our database website provides multiple functions such as search, browse, visualization, and Blast. Based on the SL interaction data in the S. cerevisiae, we review the issue of duplications' essentiality and observed that the duplicated genes and singletons have a similar ratio of being essential when we consider both individual and SL. The Microbial Synthetic Lethal and Rescue Database (Mslar) is expected to be a useful reference resource for researchers interested in the SL and SR genes of microorganisms. Mslar is open freely to everyone and available on the web at http://guolab.whu.edu.cn/Mslar/.
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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