| Title |
Omics analysis of acetic acid tolerance in Saccharomyces cerevisiae
|
|---|---|
| Published in |
World Journal of Microbiology and Biotechnology, April 2017
|
| DOI | 10.1007/s11274-017-2259-9 |
| Pubmed ID | |
| Authors |
Peng Geng, Liang Zhang, Gui Yang Shi |
| Abstract |
Acetic acid is an inhibitor in industrial processes such as wine making and bioethanol production from cellulosic hydrolysate. It causes energy depletion, inhibition of metabolic enzyme activity, growth arrest and ethanol productivity losses in Saccharomyces cerevisiae. Therefore, understanding the mechanisms of the yeast responses to acetic acid stress is essential for improving acetic acid tolerance and ethanol production. Although 329 genes associated with acetic acid tolerance have been identified in the Saccharomyces genome and included in the database ( http://www.yeastgenome.org/observable/resistance_to_acetic_acid/overview ), the cellular mechanistic responses to acetic acid remain unclear in this organism. Post-genomic approaches such as transcriptomics, proteomics, metabolomics and chemogenomics are being applied to yeast and are providing insight into the mechanisms and interactions of genes, proteins and other components that together determine complex quantitative phenotypic traits such as acetic acid tolerance. This review focuses on these omics approaches in the response to acetic acid in S. cerevisiae. Additionally, several novel strains with improved acetic acid tolerance have been engineered by modifying key genes, and the application of these strains and recently acquired knowledge to industrial processes is also discussed. |
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 98 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | 1% |
| Thailand | 1 | 1% |
| Unknown | 96 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 22 | 22% |
| Researcher | 13 | 13% |
| Student > Bachelor | 10 | 10% |
| Student > Doctoral Student | 9 | 9% |
| Student > Master | 6 | 6% |
| Other | 9 | 9% |
| Unknown | 29 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 26 | 27% |
| Agricultural and Biological Sciences | 24 | 24% |
| Immunology and Microbiology | 5 | 5% |
| Engineering | 2 | 2% |
| Environmental Science | 1 | 1% |
| Other | 7 | 7% |
| Unknown | 33 | 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 14 April 2017.
All research outputs
#21,420,714
of 23,911,072 outputs
Outputs from World Journal of Microbiology and Biotechnology
#1,398
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#274,477
of 312,884 outputs
Outputs of similar age from World Journal of Microbiology and Biotechnology
#35
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