{"title":"A rational multi-target combination strategy for synergistic improvement of non-ribosomal peptide production","authors":"Hao Yan, Zhenguo Xin, Ziwei Sang, Xingwang Li, Jia Xie, Jiale Wu, Shen Pang, Ying Wen, Weishan Wang","doi":"10.1038/s41467-025-57073-5","DOIUrl":null,"url":null,"abstract":"<p>Non-ribosomal peptides (NRPs) are pharmaceutically important natural products that include numerous clinical drugs. However, the biosynthesis of these NRPs is intricately regulated and improving production through manipulation of multiple regulatory targets remains largely empirical. We here develop a screening-based, multi-target rational combination strategy and demonstrate its effectiveness in enhancing the titers of three NRP drugs ˗ daptomycin, thaxtomin A and surfactin. Initially, we devise a reliable colorimetric analog co-expression and co-biosynthesis reporter system for screening high-yielding phenotypes. Subsequently, through coupling CRISPR interference to induce genome-wide differential expression, we identify dozens of repressors that inhibit the biosynthesis of these NRPs. To address the challenge of multi-target combination, we further developed a dual-target screen approach and introduced an interplay map based on the synergy coefficient of each pairwise interaction. Employing this strategy, we engineer the final strains with multi-target synergistic combination and achieve the titer improvement of the three NRPs. Our work provides a rational multi-target combination strategy for production improvement of NRPs.</p>","PeriodicalId":19066,"journal":{"name":"Nature Communications","volume":"68 1","pages":""},"PeriodicalIF":14.7000,"publicationDate":"2025-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nature Communications","FirstCategoryId":"103","ListUrlMain":"https://doi.org/10.1038/s41467-025-57073-5","RegionNum":1,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MULTIDISCIPLINARY SCIENCES","Score":null,"Total":0}
引用次数: 0
Abstract
Non-ribosomal peptides (NRPs) are pharmaceutically important natural products that include numerous clinical drugs. However, the biosynthesis of these NRPs is intricately regulated and improving production through manipulation of multiple regulatory targets remains largely empirical. We here develop a screening-based, multi-target rational combination strategy and demonstrate its effectiveness in enhancing the titers of three NRP drugs ˗ daptomycin, thaxtomin A and surfactin. Initially, we devise a reliable colorimetric analog co-expression and co-biosynthesis reporter system for screening high-yielding phenotypes. Subsequently, through coupling CRISPR interference to induce genome-wide differential expression, we identify dozens of repressors that inhibit the biosynthesis of these NRPs. To address the challenge of multi-target combination, we further developed a dual-target screen approach and introduced an interplay map based on the synergy coefficient of each pairwise interaction. Employing this strategy, we engineer the final strains with multi-target synergistic combination and achieve the titer improvement of the three NRPs. Our work provides a rational multi-target combination strategy for production improvement of NRPs.
期刊介绍:
Nature Communications, an open-access journal, publishes high-quality research spanning all areas of the natural sciences. Papers featured in the journal showcase significant advances relevant to specialists in each respective field. With a 2-year impact factor of 16.6 (2022) and a median time of 8 days from submission to the first editorial decision, Nature Communications is committed to rapid dissemination of research findings. As a multidisciplinary journal, it welcomes contributions from biological, health, physical, chemical, Earth, social, mathematical, applied, and engineering sciences, aiming to highlight important breakthroughs within each domain.