A novel steroid hydroxylase from Nigrospora sphaerica with various hydroxylation capabilities to different steroid substrates.


Journal

The Journal of steroid biochemistry and molecular biology
ISSN: 1879-1220
Titre abrégé: J Steroid Biochem Mol Biol
Pays: England
ID NLM: 9015483

Informations de publication

Date de publication:
03 2023
Historique:
received: 21 07 2022
revised: 10 12 2022
accepted: 19 12 2022
pubmed: 24 12 2022
medline: 8 2 2023
entrez: 23 12 2022
Statut: ppublish

Résumé

Fungal hydroxylation of steroids is a key step in the industrial production of various steroid drugs. The main enzymes that enable these reactions are Cytochrome P450s (CYP), though very few industrially important CYPs have been identified and characterized. In this study, we identified a CYP enzyme (CYP-N2) and a cytochrome P450 reductase (CPRns) from Nigrospora sphaerica 722 by a combination of transcriptome sequencing and heterologous expression in Pichia pastoris. Gene CYP-N2 co-expressed with CPRns in Pichia pastoris GS115 showed 6β- and 15α-hydroxylation activities on progesterone. Different hydroxylation specificity of CYP-N2 was observed on different steroid substrates. CYP-N2 showed 1α-hydroxylation on cortisone and 1α-hydroxylation and 6β-hydroxylation activities on androstenedione (AD). With dehydroepiandrosterone (DHEA) as a substrate, the hydroxylated products of CYP-N2 included 7α-hydroxy-DHEA and 7α,15α-dihydroxy-DHEA. In order to precisely elucidate CYP-N2 biological function and find out the key amino acids influencing its hydroxylation capabilities in the binding pocket, new generation artificial intelligence technology AlphaFold 2 was used to predict the function-structure of CYP-N2 with high reliability. Through molecular docking, it was concluded that the residues almost binding all substrates were located in the same substrate binding pocket and the various hydroxylation abilities might be due to the different binding conformations of different substrates in the binding pocket. Alanine scanning mutagenesis was used to verify key amino acids identified by the molecular docking with steroid substrates. The 128 THR mutation resulted in conversion rate increase for substrates AD and cortisone by 2.6-fold and 2.1-fold respectively. The information obtained in this study is beneficial to facilitating the engineering of more efficient steroid hydroxylases for industrial applications.

Identifiants

pubmed: 36563764
pii: S0960-0760(22)00187-X
doi: 10.1016/j.jsbmb.2022.106236
pii:
doi:

Substances chimiques

Cortisone V27W9254FZ
Steroid Hydroxylases EC 1.14.-
Steroids 0
Androstenedione 409J2J96VR
Amino Acids 0
Dehydroepiandrosterone 459AG36T1B

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

106236

Informations de copyright

Copyright © 2023 Elsevier Ltd. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest The authors declare that they have no competing interests.

Auteurs

Shuailin Li (S)

School of Life Science and Biopharmaceutics, Shenyang Pharmaceutical University, Shenyang 110016, Liaoning, People's Republic of China.

Yaowen Chang (Y)

School of Life Science and Biopharmaceutics, Shenyang Pharmaceutical University, Shenyang 110016, Liaoning, People's Republic of China.

Yingnan Liu (Y)

School of Life Science and Biopharmaceutics, Shenyang Pharmaceutical University, Shenyang 110016, Liaoning, People's Republic of China.

Wei Tian (W)

School of Life Science and Biopharmaceutics, Shenyang Pharmaceutical University, Shenyang 110016, Liaoning, People's Republic of China. Electronic address: 104030309@syphu.edu.cn.

Zunxue Chang (Z)

School of Life Science and Biopharmaceutics, Shenyang Pharmaceutical University, Shenyang 110016, Liaoning, People's Republic of China. Electronic address: zunxue.chang@syphu.edu.cn.

Articles similaires

Animals Hemiptera Insect Proteins Phylogeny Insecticides
Humans Middle Aged Female Male Surveys and Questionnaires
Humans Artificial Intelligence COVID-19 SARS-CoV-2 Pandemics

Classifications MeSH