| Title |
Engineering phytosterol transport system in Mycobacterium sp. strain MS136 enhances production of 9α-hydroxy-4-androstene-3,17-dione
|
|---|---|
| Published in |
Biotechnology Techniques, February 2018
|
| DOI | 10.1007/s10529-018-2520-9 |
| Pubmed ID | |
| Authors |
Kun He, Hong Sun, Hao Song |
| Abstract |
To enhance the yield of 9α-hydroxy-4-androstene-3,17-dione (9-OHAD) from phytosterols, a phytosterol transport system was constructed in Mycobacterium sp. strain MS136. 9-OHAD can be produced via the controlled degradation of phytosterols by mycobacteria. This involves an active transport process that requires trans-membrane proteins and ATP. A phytosterol transport system from Mycobacterium tuberculosis H37Rv was constructed in Mycobacterium sp. strain MS136 by co-expression of an energy-related gene, mceG, and two integrated membrane protein genes, yrbE4A and yrbE4B. The resultant of the Mycobacterium sp. strain MS136-GAB gave 5.7 g 9-OHAD l-1, which was a 20% increase over 4.7 g l-1 by the wild-type strain. The yield of 9-OHAD was increased to 6.0 g l-1 by optimization of fermentation conditions, when 13 g phytosterols l-1 were fermented for 84 h in 30 ml biotransformation medium in shake flasks. Phytosterol transport system plays an active role in the uptake and transport of sterols, cloning of the system improved the mass transfer of phytosterols and increased the production of 9-OHAD. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 12 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Doctoral Student | 2 | 17% |
| Professor > Associate Professor | 2 | 17% |
| Lecturer | 1 | 8% |
| Professor | 1 | 8% |
| Student > Bachelor | 1 | 8% |
| Other | 2 | 17% |
| Unknown | 3 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 3 | 25% |
| Chemical Engineering | 1 | 8% |
| Environmental Science | 1 | 8% |
| Immunology and Microbiology | 1 | 8% |
| Unknown | 6 | 50% |
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 February 2018.
All research outputs
#20,663,600
of 25,382,440 outputs
Outputs from Biotechnology Techniques
#2,354
of 2,762 outputs
Outputs of similar age
#343,060
of 448,849 outputs
Outputs of similar age from Biotechnology Techniques
#8
of 16 outputs
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