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REVIEW article

Front. Microbiol.

Sec. Antimicrobials, Resistance and Chemotherapy

Volume 16 - 2025 | doi: 10.3389/fmicb.2025.1684225

Biosynthesis and Genome Mining Strategies for Purine-Derived N-Nucleoside Antibiotics

Provisionally accepted
  • Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences (CAS), Lanzhou, China

The final, formatted version of the article will be published soon.

Background: The rise of antibiotic resistance underscores the urgent need for new antimicrobial agents. Nucleoside antibiotics are a structurally diverse class with broad biological activities, among which purine-derived N-nucleoside antibiotics (N-NAs) are of particular interest as their purine-linked frameworks enable diverse enzymatic modifications that yield compounds with distinct pharmacological profiles. Aim of the Review: This review summarizes the bioactivity and biosynthetic logic of representative purine-derived N-NAs, including pentostatin-type compounds, angustmycins, and deazapurine analogues, to provide insights into the genome-based discovery of related natural products. Key Scientific Concepts of the Review: By outlining conserved enzymes and genetic features within known BGCs, we illustrate how core enzyme probes can be used for genome-guided mining of putative clusters. This approach emphasizes both the opportunities and challenges in predicting novel N-NA producers from genomic data. Conclusions: Understanding the biosynthesis and genetic organization of N-NAs not only sheds light on their structural diversity but also provides a framework for genome mining. Specific subclasses such as pentostatin-, angustmycin-, and deazapurine-type compounds exhibit Structure–Activity relationships that could guide the rational design and genome-based discovery of new nucleoside antibiotics.

Keywords: Purine-derived N-nucleoside antibiotics, Bioactivity, biosynthetic pathway, gene cluster mining, genome-guided discovery

Received: 13 Aug 2025; Accepted: 21 Oct 2025.

Copyright: © 2025 Wu, Wu, Niu, Yu, Chen, Liu and Zhang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence: Wei Zhang, ziaoshen@163.com

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.