Literature DB >> 36198866

Construction of automated high-throughput screening method for finding efficient 3-ketosteroid 1,2-dehydrogenating strains.

Menglei Xia1,2, XinYao Yan1,2, Zehui Zan1,2, Fan Yang1,2, Mengjiao Liu1,2, Danni Xue1,2, Yanbing Shen3, Min Wang4,5.   

Abstract

Dehydrogenation reaction at C1(2) positions is typical and representative of industrial production of steroid drugs. Anti-inflammatory activity can be doubled when the nucleus of the anti-inflammatory steroid hormone drug introduces double bonds at the C1(2) positions. Arthrobacter simplex is currently the most widely studied and used strain for C1(2) dehydrogenation. Therefore, breeding Arthrobacter simplex with high-efficiency dehydrogenation ability is of great significance. In order to obtain high-efficiency strains, the research proposed a new screening strategy based on image process technique: firstly, a color reaction between 2,4-dinitrophenylhydrazine (DNPH) and 9α-hydroxyandrost-4-ene-3,17-dione (9α-OH-AD) was established to characterize the dehydrogenation ability of the strain; secondly, the color data of strains mutated by atmospheric and room temperature plasma (ARTP) in the "color reaction" were automated and analyzed for dehydrogenation ability prediction using optimized support vector machine model. Result showed that the prediction accuracy reached as high as 96% in verification experiments. After a series of mutagenesis, including breaking the bottleneck of a single mutation in ARTP, the dominant strain ARLU-146 was finally obtained from 5168 strains. Its initial conversion rate was 0.8059 g/L/h, with a conversion of 94.41% at 24 h, compared to the original strain ASP which increased the transformation rate by more than 10%. By further process optimization, a high conversion (94.34% within 20 h) with high substrate (85 g/L cortisone acetate) was achieved. According to literature research, it is the highest conversion at this substrate concentration. KEY POINTS: • A high-throughput screening method was developed by using image processing and machine learning technique. • "Mutation bottleneck" of single ARTP mutagenesis was surpassed by complex mutagenesis. • A high substrate (85 g/L CA) and high transformation rate craft (94.34% within 20 h) were built.
© 2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.

Entities:  

Keywords:  ARTP compound mutagenesis; Arthrobacter simplex; Automated high-throughput image processing; C1(2) dehydrogenation; Machine learning

Year:  2022        PMID: 36198866     DOI: 10.1007/s00253-022-12190-9

Source DB:  PubMed          Journal:  Appl Microbiol Biotechnol        ISSN: 0175-7598            Impact factor:   5.560


  9 in total

Review 1.  High-throughput metabolic engineering: advances in small-molecule screening and selection.

Authors:  Jeffrey A Dietrich; Adrienne E McKee; Jay D Keasling
Journal:  Annu Rev Biochem       Date:  2010       Impact factor: 23.643

Review 2.  Atmospheric and room temperature plasma (ARTP) as a new powerful mutagenesis tool.

Authors:  Xue Zhang; Xiao-Fei Zhang; He-Ping Li; Li-Yan Wang; Chong Zhang; Xin-Hui Xing; Cheng-Yu Bao
Journal:  Appl Microbiol Biotechnol       Date:  2014-04-27       Impact factor: 4.813

3.  Efficient androst-1,4-diene-3,17-dione production by co-expressing 3-ketosteroid-Δ1 -dehydrogenase and catalase in Bacillus subtilis.

Authors:  M Shao; Z Sha; X Zhang; Z Rao; M Xu; T Yang; Z Xu; S Yang
Journal:  J Appl Microbiol       Date:  2017-01       Impact factor: 3.772

Review 4.  Cholesterol catabolism as a therapeutic target in Mycobacterium tuberculosis.

Authors:  Hugues Ouellet; Jonathan B Johnston; Paul R Ortiz de Montellano
Journal:  Trends Microbiol       Date:  2011-09-15       Impact factor: 17.079

5.  Regulation of 3-ketosteroid-1-en-dehydrogenase activity of Arthrobacter globiformis cells by a respiratory chain.

Authors:  A G Medentsev; A Y Arinbasarova; K A Koshcheyenko; V K Akimenko; G K Skryabin
Journal:  J Steroid Biochem       Date:  1985-09       Impact factor: 4.292

6.  New options to engineer biofuel microbes: development and application of a high-throughput screening system.

Authors:  Michael Scheel; Tina Lütke-Eversloh
Journal:  Metab Eng       Date:  2013-03-21       Impact factor: 9.783

7.  Cyclic utilization of HP-β-CD in the bioconversion of cortisone acetate by Arthrobacter simplex.

Authors:  Yanbing Shen; Fang Wang; Yanping Wang; Qing Zhao; Min Wang
Journal:  Biotechnol Lett       Date:  2015-12-24       Impact factor: 2.461

8.  Improved AP-3 production through combined ARTP mutagenesis, fermentation optimization, and subsequent genome shuffling.

Authors:  Juan Li; Siyu Guo; Qiang Hua; Fengxian Hu
Journal:  Biotechnol Lett       Date:  2021-03-22       Impact factor: 2.461

9.  Universal capability of 3-ketosteroid Δ1-dehydrogenases to catalyze Δ1-dehydrogenation of C17-substituted steroids.

Authors:  Patrycja Wójcik; Michał Glanowski; Agnieszka M Wojtkiewicz; Ali Rohman; Maciej Szaleniec
Journal:  Microb Cell Fact       Date:  2021-06-23       Impact factor: 5.328

  9 in total
  1 in total

1.  Applicability of the heterologous yeast promoters for recombinant protein production in Pichia pastoris.

Authors:  Fidan Erden-Karaoğlan; Mert Karaoğlan
Journal:  Appl Microbiol Biotechnol       Date:  2022-09-27       Impact factor: 5.560

  1 in total

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