| Title |
A Transcriptomic Analysis of Saccharomyces cerevisiae Under the Stress of 2-Phenylethanol
|
|---|---|
| Published in |
Current Microbiology, April 2018
|
| DOI | 10.1007/s00284-018-1488-y |
| Pubmed ID | |
| Authors |
Danfeng Jin, Bintao Gu, Dawei Xiong, Guochang Huang, Xiaoping Huang, Lan Liu, Jun Xiao |
| Abstract |
2-Phenylethanol (2-PE) is a kind of advanced aromatic alcohol with rose fragrance, which is wildly used for the deployment of flavors and fragrances. Microbial transformation is the most feasible method for the production of natural 2-PE. But a bottleneck problem is the toxicity of 2-PE on the cells. The molecular mechanisms of the toxic effect of 2-PE to Saccharomyces cerevisiae are not well studied. In this study, we analyzed the transcriptomes of S. cerevisiae in the media with and without 2-PE, respectively, using Illumina RNA-Seq technology. We identified 580 differentially expressed genes between S. cerevisiae in two different treatments. GO and KEGG enrichment analyses of these genes suggested that most genes encoding mitochondrial proteins, cytoplasmic, and plasma membrane proteins were significantly up-regulated, whereas the enzymes related to amino acid metabolism were down-regulated. These results indicated that 2-PE suppressed the synthesis of plasma membrane proteins, which suppressed the transport of nutrients required for growth. The findings in this study will provide insight into the inhibitory mechanism of 2-PE to yeast and other microbes. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 33 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 7 | 21% |
| Researcher | 6 | 18% |
| Student > Bachelor | 6 | 18% |
| Lecturer | 1 | 3% |
| Student > Ph. D. Student | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 11 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 9 | 27% |
| Agricultural and Biological Sciences | 7 | 21% |
| Engineering | 2 | 6% |
| Computer Science | 1 | 3% |
| Chemical Engineering | 1 | 3% |
| Other | 2 | 6% |
| Unknown | 11 | 33% |
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 20 April 2018.
All research outputs
#16,704,527
of 24,569,575 outputs
Outputs from Current Microbiology
#1,501
of 2,586 outputs
Outputs of similar age
#213,596
of 331,738 outputs
Outputs of similar age from Current Microbiology
#18
of 36 outputs
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