| Title |
A novel constructed SPT15 mutagenesis library of Saccharomyces cerevisiae by using gTME technique for enhanced ethanol production
|
|---|---|
| Published in |
AMB Express, June 2017
|
| DOI | 10.1186/s13568-017-0400-7 |
| Pubmed ID | |
| Authors |
Ashraf A. M. M. El-Rotail, Liang Zhang, Youran Li, Shuang Ping Liu, Gui Yang Shi |
| Abstract |
During the last few years, the global transcription machinery engineering (gTME) technique has gained more attention as an effective approach for the construction of novel mutants. Genetic strategies (molecular biology methods) were utilized to get mutational for both genes (SPT15 and TAF23) basically existed in the Saccharomyces cerevisiae genome via screening the gTME approach in order to obtain a new mutant S. cerevisiae diploid strain. The vector pYX212 was utilized to transform these genes into the control diploid strain S. cerevisiae through the process of mating between haploids control strains S. cerevisiae (MAT-a [CICC 1374]) and (MAT-α [CICC 31144]), by using the oligonucleotide primers SPT15-EcoRI-FW/SPT15-SalI-RV and TAF23-SalI-FW/TAF23-NheI-RV, respectively. The resultant mutants were examined for a series of stability tests. This study showed how strong the effect of using strategic gTME with the importance of the modification we conducted in Error Prone PCR protocol by increasing MnCl2 concentration instead of MgCl2. More than ninety mutants we obtained in this study were distinguished by a high level production of bio-ethanol as compared to the diploid control strain. |
X Demographics
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 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 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 21 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 5 | 24% |
| Researcher | 3 | 14% |
| Professor > Associate Professor | 3 | 14% |
| Student > Ph. D. Student | 3 | 14% |
| Lecturer | 1 | 5% |
| Other | 2 | 10% |
| Unknown | 4 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 7 | 33% |
| Agricultural and Biological Sciences | 3 | 14% |
| Engineering | 2 | 10% |
| Social Sciences | 1 | 5% |
| Environmental Science | 1 | 5% |
| Other | 2 | 10% |
| Unknown | 5 | 24% |
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 June 2017.
All research outputs
#15,462,982
of 22,977,819 outputs
Outputs from AMB Express
#446
of 1,239 outputs
Outputs of similar age
#199,459
of 317,446 outputs
Outputs of similar age from AMB Express
#39
of 72 outputs
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