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Major differential gene regulation in Coxiella burnetii between in vivo and in vitro cultivation models

Overview of attention for article published in BMC Genomics, November 2015
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Title
Major differential gene regulation in Coxiella burnetii between in vivo and in vitro cultivation models
Published in
BMC Genomics, November 2015
DOI 10.1186/s12864-015-2143-7
Pubmed ID
Authors

Runa Kuley, Ruth Bossers-deVries, Hilde E. Smith, Mari A. Smits, Hendrik I. J. Roest, Alex Bossers

Abstract

Coxiella burnetii is the causative agent of the zoonotic disease Q fever. As it is an intracellular pathogen, infection by C. burnetii requires adaptation to its eukaryotic host and intracellular environment. The recently developed cell-free medium also allows the bacteria to propagate without host cells, maintaining its infection potential. The adaptation to different hosts or extracellular environments has been assumed to involve genome-wide modulation of C. burnetii gene expression. However, little is currently known about these adaptation events which are critical for understanding the intracellular survival of C. burnetii. We studied C. burnetii genome-wide transcriptional patterns in vivo (mice spleen) and in cell and cell-free in vitro culture models to examine its metabolic pathways and virulence associated gene expression patterns that are required to colonize and persist in different environments. Within each model, the gene expression profiles of the Dutch C. burnetii outbreak strain (602) and NM reference strains were largely similar. In contrast, modulation of gene-expression was strongly influenced by the cultivation method, indicating adaptation of the bacterium to available components. Genome-wide expression profiles of C. burnetii from in vitro cell culture were more similar to those seen for in vivo conditions, while gene expression profiles of cell-free culture were more distant to in vivo. Under in vivo conditions, significant alterations of genes involved in metabolism and virulence were identified. We observed that C. burnetii under in vivo conditions predominantly uses glucose as a carbon source (mostly for biosynthetic processes) and fatty acids for energy generation. C. burnetii experienced nutrient limitation and anaerobiosis as major stressors, while phosphate limitation was identified as an important signal for intracellular growth inside eukaryotic host cells. Finally, the in vivo environment significantly induced expression of several virulence genes, including those implicated in LPS synthesis, colonization, host component modulation and DNA repair mechanisms. Our study shows that C. burnetii, with its relative small genome, requires only a subset of core gene functions to survive under in vitro conditions, but requires the induction of full repertoire of genes for successful pathogenesis and thriving in harsh environments in vivo.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 37 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 24%
Researcher 7 19%
Student > Master 4 11%
Student > Doctoral Student 3 8%
Student > Bachelor 3 8%
Other 3 8%
Unknown 8 22%
Readers by discipline Count As %
Agricultural and Biological Sciences 11 30%
Veterinary Science and Veterinary Medicine 5 14%
Biochemistry, Genetics and Molecular Biology 5 14%
Immunology and Microbiology 5 14%
Social Sciences 1 3%
Other 1 3%
Unknown 9 24%
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 30 August 2016.
All research outputs
#18,430,915
of 22,833,393 outputs
Outputs from BMC Genomics
#8,183
of 10,655 outputs
Outputs of similar age
#181,175
of 252,470 outputs
Outputs of similar age from BMC Genomics
#349
of 398 outputs
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