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Zhong L, Boopathi S, Wang X, Chen H, Bai X, Shi X, Yang Q, Bian X, Zhang Y. Expanding the Horizon of Natural Products: The Role of Starter Units in Nonribosomal Lipopeptide Biosynthesis. ACS Synth Biol 2025; 14:1336-1351. [PMID: 40238931 DOI: 10.1021/acssynbio.4c00893] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/18/2025]
Abstract
Nonribosomal lipopeptides (NRLPs) are structurally complex natural products that play crucial ecological and biological roles. They are also valuable sources and lead structures for developing new pharmaceuticals. These compounds are typically synthesized using a molecular assembly machinery known as nonribosomal peptide synthetases (NRPSs) or hybrid polyketide synthases-NRPSs. Unlike conventional NRPS, NRLPs are characterized by a starter module that loads lipid chains and a substrate synthesis pathway that supplies the necessary substrates during the initiation stages. Unique lipid chains are critical determinants of the biological activity of NRLPs. Therefore, modifying these lipid chains through combinatorial biosynthesis holds great promise for unlocking their full therapeutic potential. Herein, we use the term "Starter Unit" to refer to the initial modules and lipoinitiation pathway involved in the lipid chain initiation process of NRLPs. This Review provides a comprehensive summary of recent advances in the combinatorial biosynthesis of starter units and offers insights into future directions for further development.
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Affiliation(s)
- Lin Zhong
- Institute of Synthetic Biology Industry, Hunan University of Arts and Science, Changde 415000, China
- CAS Key Laboratory of Quantitative Engineering Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
| | - Seenivasan Boopathi
- Helmholtz International Lab for Anti-infectives, Shandong University-Helmholtz Institute of Biotechnology, State Key Laboratory of Microbial Technology, Shandong University, Qingdao 266237, Shandong, China
| | - Xingyan Wang
- Helmholtz International Lab for Anti-infectives, Shandong University-Helmholtz Institute of Biotechnology, State Key Laboratory of Microbial Technology, Shandong University, Qingdao 266237, Shandong, China
| | - Hanna Chen
- School of Medicine, Linyi University, Linyi 276000, Shandong, China
| | - Xianping Bai
- Helmholtz International Lab for Anti-infectives, Shandong University-Helmholtz Institute of Biotechnology, State Key Laboratory of Microbial Technology, Shandong University, Qingdao 266237, Shandong, China
| | - Xingxing Shi
- Helmholtz International Lab for Anti-infectives, Shandong University-Helmholtz Institute of Biotechnology, State Key Laboratory of Microbial Technology, Shandong University, Qingdao 266237, Shandong, China
| | - Qingsheng Yang
- Helmholtz International Lab for Anti-infectives, Shandong University-Helmholtz Institute of Biotechnology, State Key Laboratory of Microbial Technology, Shandong University, Qingdao 266237, Shandong, China
| | - Xiaoying Bian
- Helmholtz International Lab for Anti-infectives, Shandong University-Helmholtz Institute of Biotechnology, State Key Laboratory of Microbial Technology, Shandong University, Qingdao 266237, Shandong, China
| | - Youming Zhang
- Institute of Synthetic Biology Industry, Hunan University of Arts and Science, Changde 415000, China
- CAS Key Laboratory of Quantitative Engineering Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
- Helmholtz International Lab for Anti-infectives, Shandong University-Helmholtz Institute of Biotechnology, State Key Laboratory of Microbial Technology, Shandong University, Qingdao 266237, Shandong, China
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2
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Gu S, Shao Z, Qu Z, Zhu S, Shao Y, Zhang D, Allen R, He R, Shao J, Xiong G, Jousset A, Friman VP, Wei Z, Kümmerli R, Li Z. Siderophore synthetase-receptor gene coevolution reveals habitat- and pathogen-specific bacterial iron interaction networks. SCIENCE ADVANCES 2025; 11:eadq5038. [PMID: 39813347 PMCID: PMC11734721 DOI: 10.1126/sciadv.adq5038] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 05/16/2024] [Accepted: 12/11/2024] [Indexed: 01/30/2025]
Abstract
Bacterial social interactions play crucial roles in various ecological, medical, and biotechnological contexts. However, predicting these interactions from genome sequences is notoriously difficult. Here, we developed bioinformatic tools to predict whether secreted iron-scavenging siderophores stimulate or inhibit the growth of community members. Siderophores are chemically diverse and can be stimulatory or inhibitory depending on whether bacteria have or lack corresponding uptake receptors. We focused on 1928 representative Pseudomonas genomes and developed an experimentally validated coevolution algorithm to match encoded siderophore synthetases to corresponding receptor groups. We derived community-level iron interaction networks to show that siderophore-mediated interactions differ across habitats and lifestyles. Specifically, dense networks of siderophore sharing and competition were observed among environmental and nonpathogenic species, while small, fragmented networks occurred among human-associated and pathogenic species. Together, our sequence-to-ecology approach empowers the analyses of social interactions among thousands of bacterial strains and offers opportunities for targeted intervention to microbial communities.
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Affiliation(s)
- Shaohua Gu
- Center for Quantitative Biology, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing 100871, China
- Peking-Tsinghua Center for Life Sciences, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing 100871, China
- Jiangsu Provincial Key Lab for Organic Solid Waste Utilization, Key Lab of Organic-based Fertilizers of China, Nanjing Agricultural University, Nanjing, P. R. China
| | - Zhengying Shao
- Jiangsu Provincial Key Lab for Organic Solid Waste Utilization, Key Lab of Organic-based Fertilizers of China, Nanjing Agricultural University, Nanjing, P. R. China
| | - Zeyang Qu
- Center for Quantitative Biology, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing 100871, China
| | - Shenyue Zhu
- Jiangsu Provincial Key Lab for Organic Solid Waste Utilization, Key Lab of Organic-based Fertilizers of China, Nanjing Agricultural University, Nanjing, P. R. China
| | - Yuanzhe Shao
- Peking-Tsinghua Center for Life Sciences, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing 100871, China
| | - Di Zhang
- Center for Quantitative Biology, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing 100871, China
| | - Richard Allen
- Department of Quantitative Biomedicine, University of Zurich, Winterthurerstr. 190, 8057 Zurich, Switzerland
| | - Ruolin He
- Center for Quantitative Biology, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing 100871, China
| | - Jiqi Shao
- Center for Quantitative Biology, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing 100871, China
| | - Guanyue Xiong
- Center for Quantitative Biology, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing 100871, China
| | - Alexandre Jousset
- Jiangsu Provincial Key Lab for Organic Solid Waste Utilization, Key Lab of Organic-based Fertilizers of China, Nanjing Agricultural University, Nanjing, P. R. China
| | - Ville-Petri Friman
- Department of Microbiology, University of Helsinki, 00014 Helsinki, Finland
| | - Zhong Wei
- Jiangsu Provincial Key Lab for Organic Solid Waste Utilization, Key Lab of Organic-based Fertilizers of China, Nanjing Agricultural University, Nanjing, P. R. China
| | - Rolf Kümmerli
- Department of Quantitative Biomedicine, University of Zurich, Winterthurerstr. 190, 8057 Zurich, Switzerland
| | - Zhiyuan Li
- Center for Quantitative Biology, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing 100871, China
- Peking-Tsinghua Center for Life Sciences, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing 100871, China
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3
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Gu S, Shao Y, Rehm K, Bigler L, Zhang D, He R, Xu R, Shao J, Jousset A, Friman VP, Bian X, Wei Z, Kümmerli R, Li Z. Feature sequence-based genome mining uncovers the hidden diversity of bacterial siderophore pathways. eLife 2024; 13:RP96719. [PMID: 39352117 PMCID: PMC11444679 DOI: 10.7554/elife.96719] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/03/2024] Open
Abstract
Microbial secondary metabolites are a rich source for pharmaceutical discoveries and play crucial ecological functions. While tools exist to identify secondary metabolite clusters in genomes, precise sequence-to-function mapping remains challenging because neither function nor substrate specificity of biosynthesis enzymes can accurately be predicted. Here, we developed a knowledge-guided bioinformatic pipeline to solve these issues. We analyzed 1928 genomes of Pseudomonas bacteria and focused on iron-scavenging pyoverdines as model metabolites. Our pipeline predicted 188 chemically different pyoverdines with nearly 100% structural accuracy and the presence of 94 distinct receptor groups required for the uptake of iron-loaded pyoverdines. Our pipeline unveils an enormous yet overlooked diversity of siderophores (151 new structures) and receptors (91 new groups). Our approach, combining feature sequence with phylogenetic approaches, is extendable to other metabolites and microbial genera, and thus emerges as powerful tool to reconstruct bacterial secondary metabolism pathways based on sequence data.
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Affiliation(s)
- Shaohua Gu
- Center for Quantitative Biology, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, China
| | - Yuanzhe Shao
- Peking-Tsinghua Center for Life Sciences, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, China
| | - Karoline Rehm
- University of Zurich, Department of Chemistry, Zurich, Switzerland
| | - Laurent Bigler
- University of Zurich, Department of Chemistry, Zurich, Switzerland
| | - Di Zhang
- Center for Quantitative Biology, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, China
| | - Ruolin He
- Center for Quantitative Biology, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, China
| | - Ruichen Xu
- School of Life Science, Shandong University, Qingdao, China
| | - Jiqi Shao
- Center for Quantitative Biology, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, China
| | - Alexandre Jousset
- Jiangsu Provincial Key Lab for Organic Solid Waste Utilization, Key Lab of Organic-based Fertilizers of China, Nanjing Agricultural University, Nanjing, China
| | | | - Xiaoying Bian
- Helmholtz International Lab for Anti-infectives, State Key Laboratory of Microbial Technology, Shandong University, Qingdao, China
| | - Zhong Wei
- Jiangsu Provincial Key Lab for Organic Solid Waste Utilization, Key Lab of Organic-based Fertilizers of China, Nanjing Agricultural University, Nanjing, China
| | - Rolf Kümmerli
- University of Zurich, Department of Quantitative Biomedicine, Zurich, Switzerland
| | - Zhiyuan Li
- Center for Quantitative Biology, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, China
- Peking-Tsinghua Center for Life Sciences, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, China
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4
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Li Z, Ióca LP, He R, Donia MS. Natural diversifying evolution of nonribosomal peptide synthetases in a defensive symbiont reveals nonmodular functional constraints. PNAS NEXUS 2024; 3:pgae384. [PMID: 39346623 PMCID: PMC11428043 DOI: 10.1093/pnasnexus/pgae384] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/04/2024] [Accepted: 07/19/2024] [Indexed: 10/01/2024]
Abstract
The modular architecture of nonribosomal peptide synthetases (NRPSs) has inspired efforts to study their evolution and engineering. In this study, we analyze in detail a unique family of NRPSs from the defensive intracellular bacterial symbiont, Candidatus Endobryopsis kahalalidifaciens (Ca. E. kahalalidifaciens). We show that intensive and indiscriminate recombination events erase trivial sequence covariations induced by phylogenetic relatedness, revealing nonmodular functional constraints and clear recombination units. Moreover, we reveal unique substrate specificity determinants for multiple enzymatic domains, allowing us to accurately predict and experimentally discover the products of an orphan NRPS in Ca. E. kahalalidifaciens directly from environmental samples of its algal host. Finally, we expanded our analysis to 1,531 diverse NRPS pathways and revealed similar functional constraints to those observed in Ca. E. kahalalidifaciens' NRPSs. Our findings reveal the sequence bases of genetic exchange, functional constraints, and substrate specificity in Ca. E. kahalalidifaciens' NRPSs, and highlight them as a uniquely primed system for diversifying evolution.
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Affiliation(s)
- Zhiyuan Li
- Center for Quantitative Biology, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing 100871, China
- Peking-Tsinghua Center for Life Sciences, Academy for Advanced Interdisciplinary Studies, Peking 8 University, Beijing 100871, China
- Center for the Physics of Biological Function, Princeton University, Princeton, NJ 08544, USA
| | - Laura P Ióca
- Department of Molecular Biology, Princeton University, Princeton, NJ 08544, USA
| | - Ruolin He
- Center for Quantitative Biology, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing 100871, China
| | - Mohamed S Donia
- Department of Molecular Biology, Princeton University, Princeton, NJ 08544, USA
- Department of Chemical and Biological Engineering, Princeton University, Princeton, NJ 08544, USA
- Department of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ 08544, USA
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Dreckmann TM, Fritz L, Kaiser CF, Bouhired SM, Wirtz DA, Rausch M, Müller A, Schneider T, König GM, Crüsemann M. Biosynthesis of the corallorazines, a widespread class of antibiotic cyclic lipodipeptides. RSC Chem Biol 2024:d4cb00157e. [PMID: 39184525 PMCID: PMC11342130 DOI: 10.1039/d4cb00157e] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2024] [Accepted: 08/15/2024] [Indexed: 08/27/2024] Open
Abstract
Corallorazines are cyclic lipodipeptide natural products produced by the myxobacterium Corallococcus coralloides B035. To decipher the basis of corallorazine biosynthesis, the corallorazine nonribosomal peptide synthetase (NRPS) biosynthetic gene cluster crz was identified and analyzed in detail. Here, we present a model of corallorazine biosynthesis, supported by bioinformatic analyses and in vitro investigations on the bimodular NRPS synthesizing the corallorazine core. Corallorazine biosynthesis shows several distinct features, such as the presence of a dehydrating condensation domain, and a unique split adenylation domain on two open reading frames. Using an alternative fatty acyl starter unit, the first steps of corallorazine biosynthesis were characterized in vitro, supporting our biosynthetic model. The dehydrating condensation domain was bioinformatically analyzed in detail and compared to other modifying C domains, revealing unreported specific sequence motives for this domain subfamily. Using global bioinformatics analyses, we show that the crz gene cluster family is widespread among bacteria and encodes notable chemical diversity. Corallorazine A displays moderate antimicrobial activity against selected Gram-positive and Gram-negative bacteria. Mode of action studies comprising whole cell analysis and in vitro test systems revealed that corallorazine A inhibits bacterial transcription by targeting the DNA-dependent RNA polymerase.
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Affiliation(s)
- Teresa M Dreckmann
- Institute of Pharmaceutical Biology, University of Bonn Nussallee 6 53115 Bonn Germany
| | - Lisa Fritz
- Institute for Pharmaceutical Microbiology, University Hospital Bonn, University of Bonn Meckenheimer Allee 168 53115 Bonn Germany
| | - Christian F Kaiser
- Institute of Pharmaceutical Biology, University of Bonn Nussallee 6 53115 Bonn Germany
| | - Sarah M Bouhired
- Institute of Pharmaceutical Biology, University of Bonn Nussallee 6 53115 Bonn Germany
| | - Daniel A Wirtz
- Institute of Pharmaceutical Biology, University of Bonn Nussallee 6 53115 Bonn Germany
| | - Marvin Rausch
- Institute for Pharmaceutical Microbiology, University Hospital Bonn, University of Bonn Meckenheimer Allee 168 53115 Bonn Germany
| | - Anna Müller
- Institute for Pharmaceutical Microbiology, University Hospital Bonn, University of Bonn Meckenheimer Allee 168 53115 Bonn Germany
| | - Tanja Schneider
- Institute for Pharmaceutical Microbiology, University Hospital Bonn, University of Bonn Meckenheimer Allee 168 53115 Bonn Germany
- German Center for Infection Research (DZIF), Partner Site Bonn-Cologne Bonn Germany
| | - Gabriele M König
- Institute of Pharmaceutical Biology, University of Bonn Nussallee 6 53115 Bonn Germany
| | - Max Crüsemann
- Institute of Pharmaceutical Biology, University of Bonn Nussallee 6 53115 Bonn Germany
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6
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He R, Gu S, Xu J, Li X, Chen H, Shao Z, Wang F, Shao J, Yin WB, Qian L, Wei Z, Li Z. SIDERITE: Unveiling hidden siderophore diversity in the chemical space through digital exploration. IMETA 2024; 3:e192. [PMID: 38882500 PMCID: PMC11170966 DOI: 10.1002/imt2.192] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 03/19/2024] [Accepted: 03/20/2024] [Indexed: 06/18/2024]
Abstract
In this work, we introduced a siderophore information database (SIDERTE), a digitized siderophore information database containing 649 unique structures. Leveraging this digitalized data set, we gained a systematic overview of siderophores by their clustering patterns in the chemical space. Building upon this, we developed a functional group-based method for predicting new iron-binding molecules with experimental validation. Expanding our approach to the collection of open natural products (COCONUT) database, we predicted a staggering 3199 siderophore candidates, showcasing remarkable structure diversity that is largely unexplored. Our study provides a valuable resource for accelerating the discovery of novel iron-binding molecules and advancing our understanding of siderophores.
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Affiliation(s)
- Ruolin He
- Center for Quantitative Biology, Academy for Advanced Interdisciplinary Studies Peking University Beijing China
| | - Shaohua Gu
- Center for Quantitative Biology, Academy for Advanced Interdisciplinary Studies Peking University Beijing China
- Peking-Tsinghua Center for Life Sciences, Academy for Advanced Interdisciplinary Studies Peking University Beijing China
| | - Jiazheng Xu
- Jiangsu Provincial Key Lab for Solid Organic Waste Utilization, Key Lab of Organic-Based Fertilizers of China, Jiangsu Collaborative Innovation Center for Solid Organic Wastes, Educational Ministry Engineering Center of Resource-Saving Fertilizers Nanjing Agricultural University Nanjing China
| | - Xuejian Li
- Beyond Flux Technology Co., Ltd. Beijing China
| | - Haoran Chen
- Beyond Flux Technology Co., Ltd. Beijing China
| | - Zhengying Shao
- Jiangsu Provincial Key Lab for Solid Organic Waste Utilization, Key Lab of Organic-Based Fertilizers of China, Jiangsu Collaborative Innovation Center for Solid Organic Wastes, Educational Ministry Engineering Center of Resource-Saving Fertilizers Nanjing Agricultural University Nanjing China
| | - Fanhao Wang
- Center for Quantitative Biology, Academy for Advanced Interdisciplinary Studies Peking University Beijing China
| | - Jiqi Shao
- Center for Quantitative Biology, Academy for Advanced Interdisciplinary Studies Peking University Beijing China
| | - Wen-Bing Yin
- State Key Laboratory of Mycology, Institute of Microbiology Chinese Academy of Sciences Beijing China
- Savaid Medical School University of Chinese Academy of Sciences Beijing China
| | - Long Qian
- Center for Quantitative Biology, Academy for Advanced Interdisciplinary Studies Peking University Beijing China
| | - Zhong Wei
- Jiangsu Provincial Key Lab for Solid Organic Waste Utilization, Key Lab of Organic-Based Fertilizers of China, Jiangsu Collaborative Innovation Center for Solid Organic Wastes, Educational Ministry Engineering Center of Resource-Saving Fertilizers Nanjing Agricultural University Nanjing China
| | - Zhiyuan Li
- Center for Quantitative Biology, Academy for Advanced Interdisciplinary Studies Peking University Beijing China
- Peking-Tsinghua Center for Life Sciences, Academy for Advanced Interdisciplinary Studies Peking University Beijing China
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7
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Bozhüyük KAJ, Präve L, Kegler C, Schenk L, Kaiser S, Schelhas C, Shi YN, Kuttenlochner W, Schreiber M, Kandler J, Alanjary M, Mohiuddin TM, Groll M, Hochberg GKA, Bode HB. Evolution-inspired engineering of nonribosomal peptide synthetases. Science 2024; 383:eadg4320. [PMID: 38513038 DOI: 10.1126/science.adg4320] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2022] [Accepted: 02/09/2024] [Indexed: 03/23/2024]
Abstract
Many clinically used drugs are derived from or inspired by bacterial natural products that often are produced through nonribosomal peptide synthetases (NRPSs), megasynthetases that activate and join individual amino acids in an assembly line fashion. In this work, we describe a detailed phylogenetic analysis of several bacterial NRPSs that led to the identification of yet undescribed recombination sites within the thiolation (T) domain that can be used for NRPS engineering. We then developed an evolution-inspired "eXchange Unit between T domains" (XUT) approach, which allows the assembly of NRPS fragments over a broad range of GC contents, protein similarities, and extender unit specificities, as demonstrated for the specific production of a proteasome inhibitor designed and assembled from five different NRPS fragments.
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Affiliation(s)
- Kenan A J Bozhüyük
- Max Planck Institute for Terrestrial Microbiology, Department of Natural Products in Organismic Interactions, 35043 Marburg, Germany
- Molecular Biotechnology, Department of Biosciences, Goethe-University Frankfurt, 60438 Frankfurt, Germany
- Myria Biosciences AG, Tech Park Basel, Hochbergstrasse 60C, 4057 Basel, Switzerland
| | - Leonard Präve
- Max Planck Institute for Terrestrial Microbiology, Department of Natural Products in Organismic Interactions, 35043 Marburg, Germany
- Molecular Biotechnology, Department of Biosciences, Goethe-University Frankfurt, 60438 Frankfurt, Germany
| | - Carsten Kegler
- Max Planck Institute for Terrestrial Microbiology, Department of Natural Products in Organismic Interactions, 35043 Marburg, Germany
- Molecular Biotechnology, Department of Biosciences, Goethe-University Frankfurt, 60438 Frankfurt, Germany
| | - Leonie Schenk
- Max Planck Institute for Terrestrial Microbiology, Department of Natural Products in Organismic Interactions, 35043 Marburg, Germany
- Molecular Biotechnology, Department of Biosciences, Goethe-University Frankfurt, 60438 Frankfurt, Germany
| | - Sebastian Kaiser
- Max Planck Institute for Terrestrial Microbiology, Department of Natural Products in Organismic Interactions, 35043 Marburg, Germany
- Evolutionary Biochemistry Group, Max Planck Institute for Terrestrial Microbiology, 35043 Marburg, Germany
| | - Christian Schelhas
- Max Planck Institute for Terrestrial Microbiology, Department of Natural Products in Organismic Interactions, 35043 Marburg, Germany
| | - Yan-Ni Shi
- Molecular Biotechnology, Department of Biosciences, Goethe-University Frankfurt, 60438 Frankfurt, Germany
| | - Wolfgang Kuttenlochner
- Chair of Biochemistry, Center for Protein Assemblies, Technical University of Munich, Ernst-Otto-Fischer-Straße 8, 85748 Garching, Germany
| | - Max Schreiber
- Max Planck Institute for Terrestrial Microbiology, Department of Natural Products in Organismic Interactions, 35043 Marburg, Germany
- Molecular Biotechnology, Department of Biosciences, Goethe-University Frankfurt, 60438 Frankfurt, Germany
| | - Joshua Kandler
- Molecular Biotechnology, Department of Biosciences, Goethe-University Frankfurt, 60438 Frankfurt, Germany
| | - Mohammad Alanjary
- Bioinformatics Group, Wageningen University, Droevendaalsesteeg 1, 6708PB Wageningen, The Netherlands
| | - T M Mohiuddin
- Molecular Biotechnology, Department of Biosciences, Goethe-University Frankfurt, 60438 Frankfurt, Germany
| | - Michael Groll
- Chair of Biochemistry, Center for Protein Assemblies, Technical University of Munich, Ernst-Otto-Fischer-Straße 8, 85748 Garching, Germany
| | - Georg K A Hochberg
- Evolutionary Biochemistry Group, Max Planck Institute for Terrestrial Microbiology, 35043 Marburg, Germany
- Center for Synthetic Microbiology (SYNMIKRO), Phillips University Marburg, 35043 Marburg, Germany
- Department of Chemistry, Phillips University Marburg, 35043 Marburg, Germany
| | - Helge B Bode
- Max Planck Institute for Terrestrial Microbiology, Department of Natural Products in Organismic Interactions, 35043 Marburg, Germany
- Molecular Biotechnology, Department of Biosciences, Goethe-University Frankfurt, 60438 Frankfurt, Germany
- Center for Synthetic Microbiology (SYNMIKRO), Phillips University Marburg, 35043 Marburg, Germany
- Department of Chemistry, Phillips University Marburg, 35043 Marburg, Germany
- LOEWE Centre for Translational Biodiversity Genomics (LOEWE-TBG) & Senckenberg Gesellschaft für Naturforschung, 60325 Frankfurt, Germany
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8
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Dong W, Chen B, Zhang R, Dai H, Han J, Lu Y, Zhao Q, Liu X, Liu H, Sun J. Identification and Characterization of Peptaibols as the Causing Agents of Pseudodiploöspora longispora Infecting the Edible Mushroom Morchella. JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY 2023; 71:18385-18394. [PMID: 37888752 DOI: 10.1021/acs.jafc.3c05783] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/28/2023]
Abstract
Pseudodiploöspora longispora (previously known as Diploöspora longispora) is a pathogenic fungus of Morchella mushrooms. The molecular mechanism underlying the infection of P. longispora in fruiting bodies remains unknown. In this study, three known peptaibols, alamethicin F-50, polysporin B, and septocylindrin B (1-3), and a new analogue, longisporin A (4), were detected and identified in the culture of P. longispora and the fruiting bodies of M. sextelata infected by P. longispora. The primary amino sequence of longisporin A is defined as Ac-Aib1-Pro2-Aib3-Ala4-Aib5-Aib6-Gln7-Aib8-Val9-Aib10-Glu11-Leu12-Aib13-Pro14-Val15-Aib16-Aib17-Gln18-Gln19-Phaol20. The peptaibols 1-4 greatly suppressed the mycelial growth of M. sextelata. In addition, treatment with alamethicin F-50 produced damage on the cell wall and membrane of M. sextelata. Compounds 1-4 also exhibited inhibitory activities against human pathogens including Aspergillus fumigatus, Candida albicans, methicillin-resistant Staphylococcus aureus and vancomycin-resistant Enterococcus, and plant pathogen Verticillium dahlia. Herein, peptaibols are confirmed as virulence factors involved in the invasion of P. longispora on Morchella, providing insights into the interaction between pathogenic P. longispora and mushrooms.
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Affiliation(s)
- Wang Dong
- State Key Laboratory of Mycology, Institute of Microbiology, Chinese Academy of Sciences, No. 3 Park 1, Beichen West Road, Chaoyang District, Beijing 100101, China
| | - Baosong Chen
- State Key Laboratory of Mycology, Institute of Microbiology, Chinese Academy of Sciences, No. 3 Park 1, Beichen West Road, Chaoyang District, Beijing 100101, China
| | - Rui Zhang
- State Key Laboratory of Mycology, Institute of Microbiology, Chinese Academy of Sciences, No. 3 Park 1, Beichen West Road, Chaoyang District, Beijing 100101, China
- School of Traditional Chinese Materia Medica, Key Laboratory of Structure-Based Drug Design & Discovery, Ministry of Education, Shenyang Pharmaceutical University, Shenyang 110016, China
| | - Huanqin Dai
- State Key Laboratory of Mycology, Institute of Microbiology, Chinese Academy of Sciences, No. 3 Park 1, Beichen West Road, Chaoyang District, Beijing 100101, China
- Savaid Medical School, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Junjie Han
- State Key Laboratory of Mycology, Institute of Microbiology, Chinese Academy of Sciences, No. 3 Park 1, Beichen West Road, Chaoyang District, Beijing 100101, China
| | - Yongzhong Lu
- School of Food and Pharmaceutical Engineering, Guizhou Institute of Technology, Guiyang550003 ,China
| | - Qi Zhao
- Key Laboratory for Plant Diversity and Biogeography of East Asia, Kunming Institute of Botany, Chinese Academy of Science, Kunming 650201, China
| | - Xingzhong Liu
- Department of Microbiology, College of Life Science, Nankai University, Jinnan District, Tianjin 300350, China
| | - Hongwei Liu
- State Key Laboratory of Mycology, Institute of Microbiology, Chinese Academy of Sciences, No. 3 Park 1, Beichen West Road, Chaoyang District, Beijing 100101, China
- Savaid Medical School, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Jingzu Sun
- State Key Laboratory of Mycology, Institute of Microbiology, Chinese Academy of Sciences, No. 3 Park 1, Beichen West Road, Chaoyang District, Beijing 100101, China
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