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An integrated computational-experimental approach reveals Yersinia pestis genes essential across a narrow or a broad range of environmental conditions

Overview of attention for article published in BMC Microbiology, July 2017
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Title
An integrated computational-experimental approach reveals Yersinia pestis genes essential across a narrow or a broad range of environmental conditions
Published in
BMC Microbiology, July 2017
DOI 10.1186/s12866-017-1073-8
Pubmed ID
Authors

Nicola J. Senior, Kalesh Sasidharan, Richard J. Saint, Andrew E. Scott, Mitali Sarkar-Tyson, Philip M. Ireland, Helen L Bullifent, Z. Rong Yang, Karen Moore, Petra C. F. Oyston, Timothy P. Atkins, Helen S. Atkins, Orkun S. Soyer, Richard W. Titball

Abstract

The 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. Using 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. Using 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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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 36 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 25%
Student > Ph. D. Student 6 17%
Student > Bachelor 3 8%
Student > Master 3 8%
Student > Doctoral Student 2 6%
Other 4 11%
Unknown 9 25%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 13 36%
Agricultural and Biological Sciences 6 17%
Immunology and Microbiology 5 14%
Veterinary Science and Veterinary Medicine 1 3%
Computer Science 1 3%
Other 1 3%
Unknown 9 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 24 July 2017.
All research outputs
#21,264,673
of 23,881,329 outputs
Outputs from BMC Microbiology
#2,783
of 3,286 outputs
Outputs of similar age
#277,196
of 316,256 outputs
Outputs of similar age from BMC Microbiology
#43
of 53 outputs
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So far Altmetric has tracked 3,286 research outputs from this source. They receive a mean Attention Score of 4.2. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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