Evidence map›Paper›PMID 40394577›Full record

ArticleMicrobial cell factories2025

Optimized expression of oxazolomycins in engineered Streptomyces longshengensis and their activity evaluation.

Huiying Sun, Xiang Liu, Junyue Li, Yang Xu, Yue Li, Yuqing Tian, Huarong Tan, Jihui Zhang

Abstract read
In one paragraph

Article in Microbial cell factories, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Huiying SunState Key Laboratory of Microbial Diversity and Innovative Utilization, Institute of Microbiology, Chinese Academy of Sciences, Beijing, 100101, China.
Xiang LiuState Key Laboratory of Microbial Diversity and Innovative Utilization, Institute of Microbiology, Chinese Academy of Sciences, Beijing, 100101, China.
Junyue LiState Key Laboratory of Microbial Diversity and Innovative Utilization, Institute of Microbiology, Chinese Academy of Sciences, Beijing, 100101, China.
Yang XuState Key Laboratory of Microbial Diversity and Innovative Utilization, Institute of Microbiology, Chinese Academy of Sciences, Beijing, 100101, China.
Yue LiState Key Laboratory of Microbial Diversity and Innovative Utilization, Institute of Microbiology, Chinese Academy of Sciences, Beijing, 100101, China.
Yuqing TianState Key Laboratory of Microbial Diversity and Innovative Utilization, Institute of Microbiology, Chinese Academy of Sciences, Beijing, 100101, China.
Huarong TanState Key Laboratory of Microbial Diversity and Innovative Utilization, Institute of Microbiology, Chinese Academy of Sciences, Beijing, 100101, China. tanhr@im.ac.cn.
Jihui ZhangState Key Laboratory of Microbial Diversity and Innovative Utilization, Institute of Microbiology, Chinese Academy of Sciences, Beijing, 100101, China. zhang.jihui@im.ac.cn.

Funding

National Natural Science Foundation of China 82173720
6 · The paper itself

Abstract

backgroundTo cope with the growing number of severe diseases and intractable pathogens, drug innovation in both chemical structures and pharmacological efficiency has become an imperative global mission. Oxazolomycins are a unique family of polyketide-polypeptide antibiotics from Streptomyces with diverse functional groups in their structures, conferring them multifarious activities. But further development into clinical applications has been hindered for decades for many reasons. Among them, the yield improvement is a critical basis for activity evaluation and drug-like property optimization. This study aims to enhance the production of oxazolomycins in Streptomyces longshengensis through metabolic engineering and evaluate their bioactivity against clinically relevant pathogens.

resultsCo-transcriptional analyses suggested that two operons (the transcriptional unit from gene oxaG to oxaB, and that from gene oxaH to oxaQ) could be included in the oxazolomycin biosynthetic gene cluster (oxa BGC) of S. longshengensis. So a strategy was designed to replace the native promoter regions between oxaG and oxaH with constitutive promoters P

conclusionsAn oxazolomycin high-producing system of S. longshengensis was established by employing genetic engineering strategies to facilitate the bioactivity exploitation. Oxazolomycin Toxa5 showed interesting inhibitory effects against multiple Gram-negative and -positive pathogens as well as antioxidant capacity, indicating its great potential in clinical applications. The findings provide an efficient strategy for the overproduction and activity evaluation of oxazolomycins.

Indexed as

Anti-Bacterial AgentsMetabolic EngineeringStreptomycesBacterial ProteinsMicrobial Sensitivity TestsMultigene FamilyAnti-Bacterial AgentsBacterial ProteinsBioactivityBiosynthesisOxazolomycinStreptomyces longshengensis

Identifiers

PMID40394577
PMCPMC12090451

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.