| Title |
Metabolic engineering of Klebsiella pneumoniae and in silico investigation for enhanced 2,3-butanediol production
|
|---|---|
| Published in |
Biotechnology Techniques, February 2016
|
| DOI | 10.1007/s10529-016-2062-y |
| Pubmed ID | |
| Authors |
Chelladurai Rathnasingh, Jong Myoung Park, Duk-ki Kim, Hyohak Song, Yong Keun Chang |
| Abstract |
To improve the production of 2,3-butanediol (2,3-BD) in Klebsiella pneumoniae, the genes related to the formation of lactic acid, ethanol, and acetic acid were eliminated. Although the cell growth and 2,3-BD production rates of the K. pneumoniae ΔldhA ΔadhE Δpta-ackA strain were lower than those of the wild-type strain, the mutant produced a higher titer of 2,3-BD and a higher yield in batch fermentation: 91 g 2,3-BD/l with a yield of 0.45 g per g glucose and a productivity of 1.62 g/l.h in fed-batch fermentation. The metabolic characteristics of the mutants were consistent with the results of in silico simulation. K. pneumoniae knockout mutants developed with an aid of in silico investigation could produce higher amounts of 2,3-BD with increased titer, yield, and productivity. |
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 % |
|---|---|---|
| Australia | 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 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 31 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 8 | 26% |
| Other | 2 | 6% |
| Student > Ph. D. Student | 2 | 6% |
| Student > Master | 2 | 6% |
| Student > Bachelor | 1 | 3% |
| Other | 5 | 16% |
| Unknown | 11 | 35% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 11 | 35% |
| Chemical Engineering | 3 | 10% |
| Agricultural and Biological Sciences | 2 | 6% |
| Immunology and Microbiology | 2 | 6% |
| Medicine and Dentistry | 2 | 6% |
| Other | 0 | 0% |
| Unknown | 11 | 35% |
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 18 February 2016.
All research outputs
#22,756,649
of 25,371,288 outputs
Outputs from Biotechnology Techniques
#2,492
of 2,762 outputs
Outputs of similar age
#268,731
of 311,942 outputs
Outputs of similar age from Biotechnology Techniques
#12
of 17 outputs
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