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Characterization of a NRPS-like Protein from Pestalotiopsis fici for Aldehyde Generation.
Li, Yuanyuan; Wei, Peng-Lin; Ran, Huomiao; Fan, Jie; Yin, Wen-Bing.
Afiliação
  • Li Y; State Key Laboratory of Mycology, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China.
  • Wei PL; Savaid Medical School, University of Chinese Academy of Sciences, Beijing 100049, China.
  • Ran H; State Key Laboratory of Mycology, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China.
  • Fan J; Savaid Medical School, University of Chinese Academy of Sciences, Beijing 100049, China.
  • Yin WB; State Key Laboratory of Mycology, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China.
J Fungi (Basel) ; 8(10)2022 Sep 23.
Article em En | MEDLINE | ID: mdl-36294566
ABSTRACT
Nonribosomal peptide synthetase (NRPS)-like enzymes containing A-T-R domain architecture are also known as carboxylate reductases (CARs) for aldehyde generation. To identify new members of CARs, we established a virtual library containing 84 fungal CARs distributed in seven distinct clades by genome mining and phylogenetic analysis. Nine CARs, including PnlA from Pestalotiopsis fici and eight known CARs, were clustered in clade VI and proposed to catalyze the reduction of nonreducing polyketide synthase (NR-PKS)-derived aryl carboxylic acids. The recombinant protein PnlA was overproduced and purified to apparent homogeneity from Saccharomyces cerevisiae. In vitro enzyme assays of PnlA with 28 different benzoic acid derivatives (1-28) revealed the corresponding aldehyde formation in 14 cases (1-14). Comparison of conversion yields indicated the high preference of PnlA toward 3,5-dimethylorsellinic acid (DMOA, 4) and vanillic acid (10). A specificity-conferring code Q355 in PnlA was postulated by sequence alignment with the known CARs in clade VI. Our study provides an updated virtual library of fungal CAR enzymes and expands the biocatalytic selectivity of CARs.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2022 Tipo de documento: Article