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Global gene expression reveals stress-responsive genes in Aspergillus fumigatus mycelia

Overview of attention for article published in BMC Genomics, December 2017
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Title
Global gene expression reveals stress-responsive genes in Aspergillus fumigatus mycelia
Published in
BMC Genomics, December 2017
DOI 10.1186/s12864-017-4316-z
Pubmed ID
Authors

Hiroki Takahashi, Yoko Kusuya, Daisuke Hagiwara, Azusa Takahashi-Nakaguchi, Kanae Sakai, Tohru Gonoi

Abstract

Aspergillus fumigatus is a human fungal pathogen that causes aspergillosis in immunocompromised hosts. A. fumigatus is believed to be exposed to diverse environmental stresses in the host cells. The adaptation mechanisms are critical for infections in human bodies. Transcriptional networks in response to diverse environmental challenges remain to be elucidated. To gain insights into the adaptation to environmental stresses in A. fumigatus mycelia, we conducted time series transcriptome analyses. With the aid of RNA-seq, we explored the global gene expression profiles of mycelia in A. fumigatus upon exposure to diverse environmental changes, including heat, superoxide, and osmotic stresses. From the perspective of global transcriptomes, transient responses to superoxide and osmotic stresses were observed while responses to heat stresses were gradual. We identified the stress-responsive genes for particular stresses, and the 266 genes whose expression levels drastically fluctuated upon exposure to all tested stresses. Among these, the 77 environmental stress response genes are conserved in S. cerevisiae, suggesting that these genes might be more general prerequisites for adaptation to environmental stresses. Finally, we revealed the strong correlations among expression profiles of genes related to 'rRNA processing'. The time series transcriptome analysis revealed the stress-responsive genes underlying the adaptation mechanisms in A. fumigatus mycelia. These results will shed light on the regulatory networks underpinning the adaptation of the filamentous fungi.

Twitter Demographics

The data shown below were collected from the profiles of 3 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 35 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 7 20%
Student > Ph. D. Student 5 14%
Researcher 4 11%
Other 3 9%
Professor > Associate Professor 3 9%
Other 4 11%
Unknown 9 26%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 9 26%
Agricultural and Biological Sciences 7 20%
Environmental Science 2 6%
Medicine and Dentistry 2 6%
Immunology and Microbiology 1 3%
Other 2 6%
Unknown 12 34%

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 03 July 2018.
All research outputs
#10,072,597
of 13,177,477 outputs
Outputs from BMC Genomics
#5,528
of 7,755 outputs
Outputs of similar age
#253,991
of 385,690 outputs
Outputs of similar age from BMC Genomics
#549
of 821 outputs
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