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Overexpression of cytochrome p450 125 in Mycobacterium: a rational strategy in the promotion of phytosterol biotransformation

Overview of attention for article published in Journal of Industrial Microbiology & Biotechnology, October 2018
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Title
Overexpression of cytochrome p450 125 in Mycobacterium: a rational strategy in the promotion of phytosterol biotransformation
Published in
Journal of Industrial Microbiology & Biotechnology, October 2018
DOI 10.1007/s10295-018-2063-z
Pubmed ID
Authors

Liqiu Su, Yanbing Shen, Menglei Xia, Zhihua Shang, Shuangping Xu, Xingjuan An, Min Wang

Abstract

Androst-4-ene-3, 17-dione (AD) and androst-1, 4-diene-3, 17-dione (ADD) are generally produced by the biotransformation of phytosterols in Mycobacterium. The AD (D) production increases when the strain has high NAD+/NADH ratio. To enhance the AD (D) production in Mycobacterium neoaurum TCCC 11978 (MNR M3), a rational strategy was developed through overexpression of a gene involved in the phytosterol degradation pathway; NAD+ was generated as well. Proteomic analysis of MNR cultured with and without phytosterols showed that the steroid C27-monooxygenase (Cyp125-3), which performs sequential oxidations of the sterol side chain at the C27 position and has the oxidative cofactor of NAD+ generated, played an important role in the phytosterol biotransformation process of MNR M3. To improve the productivity of AD (D), the cyp125-3 gene was overexpressed in MNR M3. The specific activity of Cyp125-3 in the recombinant strain MNR M3C3 was improved by 22% than that in MNR M3. The NAD+/NADH ratio in MNR M3C3 was 131% higher than that in the parent strain. During phytosterol biotransformation, the conversion of sterols increased from 84 to 96%, and the yield of AD (D) by MNR M3C3 was increased by approximately 18% for 96 h fermentation. This rational strain modification strategy may also be applied to develop strains with important application values for efficient production of cofactor-dependent metabolites.

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Mendeley readers

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Geographical breakdown

Country Count As %
Unknown 17 100%

Demographic breakdown

Readers by professional status Count As %
Lecturer 2 12%
Student > Ph. D. Student 2 12%
Professor > Associate Professor 2 12%
Researcher 2 12%
Professor 1 6%
Other 3 18%
Unknown 5 29%
Readers by discipline Count As %
Agricultural and Biological Sciences 2 12%
Unspecified 1 6%
Biochemistry, Genetics and Molecular Biology 1 6%
Business, Management and Accounting 1 6%
Chemical Engineering 1 6%
Other 4 24%
Unknown 7 41%
Attention Score in Context

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 04 August 2018.
All research outputs
#22,767,715
of 25,385,509 outputs
Outputs from Journal of Industrial Microbiology & Biotechnology
#1,453
of 1,612 outputs
Outputs of similar age
#310,082
of 354,551 outputs
Outputs of similar age from Journal of Industrial Microbiology & Biotechnology
#11
of 14 outputs
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