ArticleBMC microbiology2017
An integrated computational-experimental approach reveals Yersinia pestis genes essential across a narrow or a broad range of environmental conditions.
Article in BMC microbiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
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Who cites it
8 citing papers in PubMed, 21 citations in OpenAlex.
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- PsaF Is a Membrane-Localized pH Sensor That RegulatesJournal of bacteriology · 2021Article
- Inhibiting the reproduction of SARS-CoV-2 through perturbations in human lung cell metabolic network.Life science alliance · 2021Article
- An inducible transposon mutagenesis approach for the intracellular human pathogenWellcome open research · 2021Article
- A Trimeric Autotransporter Enhances Biofilm Cohesiveness in Yersinia pseudotuberculosis but Not in Yersinia pestis.Journal of bacteriology · 2020Article
- Robustness encoded across essential and accessory replicons of the ecologically versatile bacterium Sinorhizobium meliloti.PLoS genetics · 2018Article
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Corrections and comments
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Authors and funding
14 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe World Health Organization has categorized plague as a re-emerging disease and the potential for Yersinia pestis to also be used as a bioweapon makes the identification of new drug targets against this pathogen a priority. Environmental temperature is a key signal which regulates virulence of the bacterium. The bacterium normally grows outside the human host at 28 °C. Therefore, understanding the mechanisms that the bacterium used to adapt to a mammalian host at 37 °C is central to the development of vaccines or drugs for the prevention or treatment of human disease.
resultsUsing a library of over 1 million Y. pestis CO92 random mutants and transposon-directed insertion site sequencing, we identified 530 essential genes when the bacteria were cultured at 28 °C. When the library of mutants was subsequently cultured at 37 °C we identified 19 genes that were essential at 37 °C but not at 28 °C, including genes which encode proteins that play a role in enabling functioning of the type III secretion and in DNA replication and maintenance. Using genome-scale metabolic network reconstruction we showed that growth conditions profoundly influence the physiology of the bacterium, and by combining computational and experimental approaches we were able to identify 54 genes that are essential under a broad range of conditions.
conclusionsUsing an integrated computational-experimental approach we identify genes which are required for growth at 37 °C and under a broad range of environments may be the best targets for the development of new interventions to prevent or treat plague in humans.
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