A rational multi-target combination strategy for synergistic improvement of non-ribosomal peptide production

IF 15.7 1区 综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES Nature Communications Pub Date : 2025-02-22 DOI:10.1038/s41467-025-57073-5
Hao Yan, Zhenguo Xin, Ziwei Sang, Xingwang Li, Jia Xie, Jiale Wu, Shen Pang, Ying Wen, Weishan Wang
{"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":15.7000,"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.

Abstract Image

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
协同改进非核糖体肽生产的合理多靶点组合策略
非核糖体肽(nrp)是一种重要的天然药物,包括许多临床药物。然而,这些nrp的生物合成受到复杂的调控,通过操纵多个调控目标来改善生产在很大程度上仍然是经验主义的。我们在此开发了一种基于筛选的多靶点合理联合策略,并验证了其在提高三种NRP药物——达托霉素、萨托霉素a和表面素滴度方面的有效性。首先,我们设计了一个可靠的比色模拟共表达和共生物合成报告系统,用于筛选高产表型。随后,通过耦合CRISPR干扰诱导全基因组差异表达,我们鉴定了数十种抑制这些nrp生物合成的抑制因子。为了解决多靶点组合的挑战,我们进一步开发了双靶点筛选方法,并引入了基于每对相互作用的协同系数的相互作用图。利用这一策略,我们设计了多靶点协同组合的最终菌株,并实现了三种nrp的效价提高。本研究为NRPs增产提供了合理的多靶点组合策略。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Nature Communications
Nature Communications Biological Science Disciplines-
CiteScore
24.90
自引率
2.40%
发文量
6928
审稿时长
3.7 months
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.
期刊最新文献
Antiferroelectric polarization enabling physical activation in CuBiP2Se6 for medical image processing. 3D mapping of compositional gradients of core-shell structures in AgInxGa1-xS2 quantum dots by atom probe tomography. Versatile and sensitive detection of mono- and poly(ADP-ribosyl)ation reveals XRCC1-dependent remodelling of PARP1 signalling. Perinatal brain developmental transition revealed by transcriptomic and proteomic analyses of Bama miniature pigs. Machine-learning enhanced simulations predict graphene is hydrophobic and microscopically not wetting transparent.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1