Decoding gene essentiality in Streptococcus suis using Tn-seq and genome-scale metabolic modeling
Hong, Yaoqin (2025) Decoding gene essentiality in Streptococcus suis using Tn-seq and genome-scale metabolic modeling. Microbiology Spectrum. (In Press)
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Abstract
High-throughput transposon mutagenesis methods, such as transposon sequencing, are powerful tools for genome-wide identification of essential and conditionally essential genes in bacterial pathogens. In a recent study, Y. Zhang, R.Gong, M.Liang, L.Zhang, et al. (Microbiol Spectr 13:e0279124, 2025, https://doi.org/10.1128/spectrum.02791-24) applied Himar1-based Tn-seq to Streptococcus suis, generating a relatively dense mutant library, in combination with genome-scale metabolic modeling, to identify 244 candidate essential genes. Aside from the well-characterized antibiotic targets, there are several novel candidates currently being explored for drug development against other critical pathogens, and a number of previously uncharacterized potential targets were uncovered in classical model organisms. The study highlights the value of high-throughput transposon mutagenesis and genome-scale metabolic modeling in a less-characterized zoonotic pathogen and contributes important genetic insights that may inform future antimicrobial strategies.
Item ID: | 86660 |
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Item Type: | Article (Commentary) |
ISSN: | 2165-0497 |
Copyright Information: | Copyright © 2025 Hong. This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International license. |
Date Deposited: | 20 Aug 2025 00:23 |
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