1
|
Mistretta M, Cimino M, Campagne P, Volant S, Kornobis E, Hebert O, Rochais C, Dallemagne P, Lecoutey C, Tisnerat C, Lepailleur A, Ayotte Y, LaPlante SR, Gangneux N, Záhorszká M, Korduláková J, Vichier-Guerre S, Bonhomme F, Pokorny L, Albert M, Tinevez JY, Manina G. Dynamic microfluidic single-cell screening identifies pheno-tuning compounds to potentiate tuberculosis therapy. Nat Commun 2024; 15:4175. [PMID: 38755132 PMCID: PMC11099131 DOI: 10.1038/s41467-024-48269-2] [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] [Received: 03/13/2024] [Accepted: 04/25/2024] [Indexed: 05/18/2024] Open
Abstract
Drug-recalcitrant infections are a leading global-health concern. Bacterial cells benefit from phenotypic variation, which can suggest effective antimicrobial strategies. However, probing phenotypic variation entails spatiotemporal analysis of individual cells that is technically challenging, and hard to integrate into drug discovery. In this work, we develop a multi-condition microfluidic platform suitable for imaging two-dimensional growth of bacterial cells during transitions between separate environmental conditions. With this platform, we implement a dynamic single-cell screening for pheno-tuning compounds, which induce a phenotypic change and decrease cell-to-cell variation, aiming to undermine the entire bacterial population and make it more vulnerable to other drugs. We apply this strategy to mycobacteria, as tuberculosis poses a major public-health threat. Our lead compound impairs Mycobacterium tuberculosis via a peculiar mode of action and enhances other anti-tubercular drugs. This work proves that harnessing phenotypic variation represents a successful approach to tackle pathogens that are increasingly difficult to treat.
Collapse
Affiliation(s)
- Maxime Mistretta
- Institut Pasteur, Université Paris Cité, Microbial Individuality and Infection Laboratory, 75015, Paris, France
| | - Mena Cimino
- Institut Pasteur, Université Paris Cité, Microbial Individuality and Infection Laboratory, 75015, Paris, France
| | - Pascal Campagne
- Institut Pasteur, Université Paris Cité, Bioinformatics and Biostatistics Hub, 75015, Paris, France
| | - Stevenn Volant
- Institut Pasteur, Université Paris Cité, Bioinformatics and Biostatistics Hub, 75015, Paris, France
| | - Etienne Kornobis
- Institut Pasteur, Université Paris Cité, Bioinformatics and Biostatistics Hub, 75015, Paris, France
- Institut Pasteur, Université Paris Cité, Biomics Platform, 75015, Paris, France
| | | | | | | | | | | | | | - Yann Ayotte
- Institut National de la Recherche Scientifique-Armand-Frappier Santé Biotechnologie Research Centre, Laval, Quebec, H7V 1B7, Canada
| | - Steven R LaPlante
- Institut National de la Recherche Scientifique-Armand-Frappier Santé Biotechnologie Research Centre, Laval, Quebec, H7V 1B7, Canada
| | - Nicolas Gangneux
- Institut Pasteur, Université Paris Cité, Microbial Individuality and Infection Laboratory, 75015, Paris, France
| | - Monika Záhorszká
- Department of Biochemistry, Faculty of Natural Sciences, Comenius University in Bratislava, 842 15, Bratislava, Slovakia
| | - Jana Korduláková
- Department of Biochemistry, Faculty of Natural Sciences, Comenius University in Bratislava, 842 15, Bratislava, Slovakia
| | - Sophie Vichier-Guerre
- Institut Pasteur, Université Paris Cité, CNRS UMR3523, Epigenetic Chemical Biology Unit, 75015, Paris, France
| | - Frédéric Bonhomme
- Institut Pasteur, Université Paris Cité, CNRS UMR3523, Epigenetic Chemical Biology Unit, 75015, Paris, France
| | - Laura Pokorny
- Institut Pasteur, Université Paris Cité, Microbial Individuality and Infection Laboratory, 75015, Paris, France
| | - Marvin Albert
- Institut Pasteur, Université Paris Cité, Image Analysis Hub, 75015, Paris, France
| | - Jean-Yves Tinevez
- Institut Pasteur, Université Paris Cité, Image Analysis Hub, 75015, Paris, France
| | - Giulia Manina
- Institut Pasteur, Université Paris Cité, Microbial Individuality and Infection Laboratory, 75015, Paris, France.
| |
Collapse
|
2
|
Mao P, Wang Y, Gan L, Liu L, Chen J, Li L, Sun H, Luo X, Ye C. Large-scale genetic analysis and biological traits of two SigB factors in Listeria monocytogenes: lineage correlations and differential functions. Front Microbiol 2023; 14:1268709. [PMID: 38029172 PMCID: PMC10679752 DOI: 10.3389/fmicb.2023.1268709] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2023] [Accepted: 10/13/2023] [Indexed: 12/01/2023] Open
Abstract
Introduction Listeria monocytogenes is a globally distributed bacterium that exhibits genetic diversity and trait heterogeneity. The alternative sigma factor SigB serves as a crucial transcriptional regulator essential for responding to environmental stress conditions and facilitating host infection. Method We employed a comprehensive genetic analysis of sigB in a dataset comprising 46,921 L. monocytogenes genomes. The functional attributes of SigB were evaluated by phenotypic experiments. Results Our study revealed the presence of two predominant SigB factors (SigBT1 and SigBT2) in L. monocytogenes, with a robust correlation between SigBT1 and lineages I and III, as well as SigBT2 and lineage II. Furthermore, SigBT1 exhibits superior performance in promoting cellular invasion, cytotoxicity and enhancing biofilm formation and cold tolerance abilities under minimally defined media conditions compared to SigBT2. Discussion The functional characteristics of SigBT1 suggest a potential association with the epidemiology of lineages I and III strains in both human hosts and the natural environment. Our findings highlight the important role of distinct SigB factors in influencing the biological traits of L. monocytogenes of different lineages, thus highlighting its distinct pathogenic and adaptive attributes.
Collapse
Affiliation(s)
- Pan Mao
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Yan Wang
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Lin Gan
- Department of Bacteriology, Capital Institute of Pediatrics, Beijing, China
| | - Lingyun Liu
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Jinni Chen
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Lingling Li
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Hui Sun
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Xia Luo
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Changyun Ye
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| |
Collapse
|
3
|
Moore SJ, Lai HE, Li J, Freemont PS. Streptomyces cell-free systems for natural product discovery and engineering. Nat Prod Rep 2023; 40:228-236. [PMID: 36341536 PMCID: PMC9945932 DOI: 10.1039/d2np00057a] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2022] [Indexed: 11/09/2022]
Abstract
Streptomyces bacteria are a major microbial source of natural products, which are encoded within so-called biosynthetic gene clusters (BGCs). This highlight discusses the emergence of native Streptomyces cell-free systems as a new tool to accelerate the study of the fundamental chemistry and biology of natural product biosynthesis from these bacteria. Cell-free systems provide a prototyping platform to study plug-and-play reactions in microscale reactions. So far, Streptomyces cell-free systems have been used to rapidly characterise gene expression regulation, access secondary metabolite biosynthetic enzymes, and catalyse cell-free transcription, translation, and biosynthesis of example natural products. With further progress, we anticipate the development of more complex systems to complement existing experimental tools for the discovery and engineering of natural product biosynthesis from Streptomyces and related high G + C (%) bacteria.
Collapse
Affiliation(s)
- Simon J Moore
- School of Biosciences, University of Kent, UK
- School of Biological and Behavioural Sciences, Queen Mary University of London, UK.
| | - Hung-En Lai
- School of Biological Sciences, Victoria University of Wellington, New Zealand
| | - Jian Li
- School of Physical Science and Technology, ShanghaiTech University, China
| | | |
Collapse
|
4
|
Yang X, Wang Y, Liu G, Deng Z, Lin S, Zheng J. Structural basis of Streptomyces transcription activation by zinc uptake regulator. Nucleic Acids Res 2022; 50:8363-8376. [PMID: 35871291 PMCID: PMC9371925 DOI: 10.1093/nar/gkac627] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2021] [Revised: 06/30/2022] [Accepted: 07/20/2022] [Indexed: 11/30/2022] Open
Abstract
Streptomyces coelicolor (Sc) is a model organism of actinobacteria to study morphological differentiation and production of bioactive metabolites. Sc zinc uptake regulator (Zur) affects both processes by controlling zinc homeostasis. It activates transcription by binding to palindromic Zur-box sequences upstream of −35 elements. Here we deciphered the molecular mechanism by which ScZur interacts with promoter DNA and Sc RNA polymerase (RNAP) by cryo-EM structures and biochemical assays. The ScZur-DNA structures reveal a sequential and cooperative binding of three ScZur dimers surrounding a Zur-box spaced 8 nt upstream from a −35 element. The ScRNAPσHrdB-Zur-DNA structures define protein-protein and protein-DNA interactions involved in the principal housekeeping σHrdB-dependent transcription initiation from a noncanonical promoter with a −10 element lacking the critical adenine residue at position −11 and a TTGCCC −35 element deviating from the canonical TTGACA motif. ScZur interacts with the C-terminal domain of ScRNAP α subunit (αCTD) in a complex structure trapped in an active conformation. Key ScZur-αCTD interfacial residues accounting for ScZur-dependent transcription activation were confirmed by mutational studies. Together, our structural and biochemical results provide a comprehensive model for transcription activation of Zur family regulators.
Collapse
Affiliation(s)
- Xu Yang
- State Key Laboratory of Microbial Metabolism, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University , Shanghai 200240, China
| | - Yiqun Wang
- State Key Laboratory of Microbial Metabolism, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University , Shanghai 200240, China
| | - Guiyang Liu
- State Key Laboratory of Microbial Metabolism, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University , Shanghai 200240, China
| | - Zixin Deng
- State Key Laboratory of Microbial Metabolism, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University , Shanghai 200240, China
| | - Shuangjun Lin
- State Key Laboratory of Microbial Metabolism, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University , Shanghai 200240, China
| | - Jianting Zheng
- State Key Laboratory of Microbial Metabolism, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University , Shanghai 200240, China
- Joint International Research Laboratory of Metabolic & Developmental Sciences, Shanghai Jiao Tong University , Shanghai 200240, China
| |
Collapse
|
5
|
Otani H, Mouncey NJ. RIViT-seq enables systematic identification of regulons of transcriptional machineries. Nat Commun 2022; 13:3502. [PMID: 35715393 PMCID: PMC9205884 DOI: 10.1038/s41467-022-31191-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2021] [Accepted: 06/06/2022] [Indexed: 11/08/2022] Open
Abstract
Transcriptional regulation is a critical process to ensure expression of genes necessary for growth and survival in diverse environments. Transcription is mediated by multiple transcription factors including activators, repressors and sigma factors. Accurate computational prediction of the regulon of target genes for transcription factors is difficult and experimental identification is laborious and not scalable. Here, we demonstrate regulon identification by in vitro transcription-sequencing (RIViT-seq) that enables systematic identification of regulons of transcription factors by combining an in vitro transcription assay and RNA-sequencing. Using this technology, target genes of 11 sigma factors were identified in Streptomyces coelicolor A3(2). The RIViT-seq data expands the transcriptional regulatory network in this bacterium, discovering regulatory cascades and crosstalk between sigma factors. Implementation of RIViT-seq with other transcription factors and in other organisms will improve our understanding of transcriptional regulatory networks across biology.
Collapse
Affiliation(s)
- Hiroshi Otani
- US Department of Energy Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA.
- Environmental Genomics and Systems Biology Division, Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA.
| | - Nigel J Mouncey
- US Department of Energy Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA.
- Environmental Genomics and Systems Biology Division, Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA.
| |
Collapse
|
6
|
Zhao M, Wang M, Wang S, Xiong L, Gao B, Liu M, Tao X, Wang FQ, Wei D. A Self-Sustained System Spanning the Primary and Secondary Metabolism Stages to Boost the Productivity of Streptomyces. ACS Synth Biol 2022; 11:353-365. [PMID: 34951314 DOI: 10.1021/acssynbio.1c00473] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
Streptomyces species possess strong secondary metabolism, the switches of which from the primary metabolism are complex and thus a challenge to holistically optimize their productivities. To avoid the complex switches and to reduce the limitations of different metabolic stages on the synthesis of metabolites, we designed a Streptomyces self-sustained system (StSS) that contains two functional modules, the primary metabolism module (PM) and the secondary metabolism module (SM). The PM includes endogenous housekeeping sigma factor σhrdB and σhrdB-dependent promoters, which are used to express target genes in the primary metabolism phase. SM consists of the expression cassette of σhrdB under the control of a secondary metabolism promoter, which maintains continuous activity of the σhrdB-dependent promoters in the secondary metabolism phase. As a proof-of-principle, the StSS was used to boost the production of some non-toxic metabolites, including indigoidine, undecylprodigiosin (UDP), ergothioneine, and avermectin, in Streptomyces. All these metabolites can undergo a continuous production process spanning the primary and secondary metabolism stages instead of being limited to a specific stage. Scale-up of UDP fermentation in a 4 L fermentor indicated that the StSS is a stable and robust system, the titer of which was enhanced to 1.1 g/L, the highest at present. This study demonstrated that the StSS is a simple but powerful strategy to rationally engineer Streptomyces cell factories for the efficient production of non-toxic metabolites via reconstructing the relationships between primary and secondary metabolism.
Collapse
Affiliation(s)
- Ming Zhao
- State Key Laboratory of Bioreactor Engineering, Newworld Institute of Biotechnology, East China University of Science and Technology, 130 Meilong Road, Shanghai 200237, China
| | - Mingrui Wang
- State Key Laboratory of Bioreactor Engineering, Newworld Institute of Biotechnology, East China University of Science and Technology, 130 Meilong Road, Shanghai 200237, China
| | - Shuiling Wang
- State Key Laboratory of Bioreactor Engineering, Newworld Institute of Biotechnology, East China University of Science and Technology, 130 Meilong Road, Shanghai 200237, China
| | - Liangbin Xiong
- State Key Laboratory of Bioreactor Engineering, Newworld Institute of Biotechnology, East China University of Science and Technology, 130 Meilong Road, Shanghai 200237, China
- Shanghai Key Laboratory of Molecular Imaging, Shanghai University of Medicine and Health Sciences, Shanghai 201318, China
| | - Bei Gao
- State Key Laboratory of Bioreactor Engineering, Newworld Institute of Biotechnology, East China University of Science and Technology, 130 Meilong Road, Shanghai 200237, China
| | - Min Liu
- State Key Laboratory of Bioreactor Engineering, Newworld Institute of Biotechnology, East China University of Science and Technology, 130 Meilong Road, Shanghai 200237, China
| | - Xinyi Tao
- State Key Laboratory of Bioreactor Engineering, Newworld Institute of Biotechnology, East China University of Science and Technology, 130 Meilong Road, Shanghai 200237, China
| | - Feng-Qing Wang
- State Key Laboratory of Bioreactor Engineering, Newworld Institute of Biotechnology, East China University of Science and Technology, 130 Meilong Road, Shanghai 200237, China
| | - Dongzhi Wei
- State Key Laboratory of Bioreactor Engineering, Newworld Institute of Biotechnology, East China University of Science and Technology, 130 Meilong Road, Shanghai 200237, China
| |
Collapse
|
7
|
Ma X, Ma L, Huo YX. Reconstructing the transcription regulatory network to optimize resource allocation for robust biosynthesis. Trends Biotechnol 2021; 40:735-751. [PMID: 34895933 DOI: 10.1016/j.tibtech.2021.11.002] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2021] [Revised: 11/07/2021] [Accepted: 11/08/2021] [Indexed: 11/16/2022]
Abstract
An ideal microbial cell factory (MCF) should deliver maximal resources to production, which conflicts with the microbe's native growth-oriented resource allocation strategy and can therefore lead to early termination of the high-yield period. Reallocating resources from growth to production has become a critical factor in constructing robust MCFs. Instead of strengthening specific biosynthetic pathways, emerging endeavors are focused on rearranging the gene regulatory network to fundamentally reprogram the resource allocation pattern. Combining this idea with transcriptional regulation within the hierarchical regulatory network, this review discusses recent engineering strategies targeting the transcription machinery, module networks, regulatory edges, and bottom network layer. This global view will help to construct a production-oriented phenotype that fully harnesses the potential of MCFs.
Collapse
Affiliation(s)
- Xiaoyan Ma
- Key Laboratory of Molecular Medicine and Biotherapy, School of Life Science, Beijing Institute of Technology, 5 South Zhongguancun Street, Haidian District, Beijing 100081, People's Republic of China
| | - Lianjie Ma
- Key Laboratory of Molecular Medicine and Biotherapy, School of Life Science, Beijing Institute of Technology, 5 South Zhongguancun Street, Haidian District, Beijing 100081, People's Republic of China
| | - Yi-Xin Huo
- Key Laboratory of Molecular Medicine and Biotherapy, School of Life Science, Beijing Institute of Technology, 5 South Zhongguancun Street, Haidian District, Beijing 100081, People's Republic of China; Tobacco Research Institute, Chinese Academy of Agricultural Sciences, Qingdao 266101, People's Republic of China.
| |
Collapse
|
8
|
Protein acetyltransferases mediate bacterial adaptation to a diverse environment. J Bacteriol 2021; 203:e0023121. [PMID: 34251868 DOI: 10.1128/jb.00231-21] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/30/2023] Open
Abstract
Protein lysine acetylation is a conserved post-translational modification that modulates several cellular processes. Protein acetylation and its physiological implications are well understood in eukaryotes; however, its role is emerging in bacteria. Lysine acetylation in bacteria is fine-tuned by the concerted action of lysine acetyltransferases (KATs), protein deacetylases (KDACs), metabolic intermediates- acetyl-coenzyme A (Ac-CoA) and acetyl phosphate (AcP). AcP mediated nonenzymatic acetylation is predominant in bacteria due to its high acetyl transfer potential whereas, enzymatic acetylation by bacterial KATs (bKAT) are considered less abundant. SePat, the first bKAT discovered in Salmonella enterica, regulates the activity of the central metabolic enzyme- acetyl-CoA synthetase, through its acetylation. Recent studies have highlighted the role of bKATs in stress responses like pH tolerance, nutrient stress, persister cell formation, antibiotic resistance and pathogenesis. Bacterial genomes encode many putative bKATs of unknown biological function and significance. Detailed characterization of putative and partially characterized bKATs is important to decipher the acetylation mediated regulation in bacteria. Proper synthesis of information about the diverse roles of bKATs is missing to date, which can lead to the discovery of new antimicrobial targets in future. In this review, we provide an overview of the diverse physiological roles of known bKATs, and their mode of regulation in different bacteria. We also highlight existing gaps in the literature and present questions that may help understand the regulatory mechanisms mediated by bKATs in adaptation to a diverse habitat.
Collapse
|
9
|
Wang Y, Li Q, Tian P, Tan T. Charting the landscape of RNA polymerases to unleash their potential in strain improvement. Biotechnol Adv 2021; 54:107792. [PMID: 34216775 DOI: 10.1016/j.biotechadv.2021.107792] [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] [Received: 02/16/2021] [Revised: 05/28/2021] [Accepted: 06/26/2021] [Indexed: 11/19/2022]
Abstract
One major mission of microbial cell factory is overproduction of desired chemicals. To this end, it is necessary to orchestrate enzymes that affect metabolic fluxes. However, only modification of a small number of enzymes in most cases cannot maximize desired metabolites, and global regulation is required. Of myriad enzymes influencing global regulation, RNA polymerase (RNAP) may be the most versatile enzyme in biological realm because it not only serves as the workhorse of central dogma but also participates in a plethora of biochemical events. In fact, recent years have witnessed extensive exploitation of RNAPs for phenotypic engineering. While a few impressive reviews showcase the structures and functionalities of RNAPs, this review not only summarizes the state-of-the-art advance in the structures of RNAPs but also points out their enormous potentials in metabolic engineering and synthetic biology. This review aims to provide valuable insights for strain improvement.
Collapse
Affiliation(s)
- Ye Wang
- Beijing Key Laboratory of Bioprocess, College of Life Science and Technology, Beijing University of Chemical Technology, Beijing 100029, PR China
| | - Qingyang Li
- School of Food Science and Engineering, South China University of Technology, Guangzhou 510641, PR China
| | - Pingfang Tian
- Beijing Key Laboratory of Bioprocess, College of Life Science and Technology, Beijing University of Chemical Technology, Beijing 100029, PR China.
| | - Tianwei Tan
- Beijing Key Laboratory of Bioprocess, College of Life Science and Technology, Beijing University of Chemical Technology, Beijing 100029, PR China
| |
Collapse
|
10
|
Ceyssens PJ, De Smet J, Wagemans J, Akulenko N, Klimuk E, Hedge S, Voet M, Hendrix H, Paeshuyse J, Landuyt B, Xu H, Blanchard J, Severinov K, Lavigne R. The Phage-Encoded N-Acetyltransferase Rac Mediates Inactivation of Pseudomonas aeruginosa Transcription by Cleavage of the RNA Polymerase Alpha Subunit. Viruses 2020; 12:v12090976. [PMID: 32887488 PMCID: PMC7552054 DOI: 10.3390/v12090976] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2020] [Revised: 08/26/2020] [Accepted: 09/01/2020] [Indexed: 12/20/2022] Open
Abstract
In this study, we describe the biological function of the phage-encoded protein RNA polymerase alpha subunit cleavage protein (Rac), a predicted Gcn5-related acetyltransferase encoded by phiKMV-like viruses. These phages encode a single-subunit RNA polymerase for transcription of their late (structure- and lysis-associated) genes, whereas the bacterial RNA polymerase is used at the earlier stages of infection. Rac mediates the inactivation of bacterial transcription by introducing a specific cleavage in the α subunit of the bacterial RNA polymerase. This cleavage occurs within the flexible linker sequence and disconnects the C-terminal domain, required for transcription initiation from most highly active cellular promoters. To achieve this, Rac likely taps into a novel post-translational modification (PTM) mechanism within the host Pseudomonas aeruginosa. From an evolutionary perspective, this novel phage-encoded regulation mechanism confirms the importance of PTMs in the prokaryotic metabolism and represents a new way by which phages can hijack the bacterial host metabolism.
Collapse
Affiliation(s)
- Pieter-Jan Ceyssens
- Department of Biosystems, KU Leuven, 3000 Leuven, Belgium; (P.-J.C.); (J.D.S.); (J.W.); (M.V.); (H.H.); (J.P.)
| | - Jeroen De Smet
- Department of Biosystems, KU Leuven, 3000 Leuven, Belgium; (P.-J.C.); (J.D.S.); (J.W.); (M.V.); (H.H.); (J.P.)
| | - Jeroen Wagemans
- Department of Biosystems, KU Leuven, 3000 Leuven, Belgium; (P.-J.C.); (J.D.S.); (J.W.); (M.V.); (H.H.); (J.P.)
| | - Natalia Akulenko
- Institute of Molecular Genetics, Russian Academy of Sciences, 119334 Moscow, Russia; (N.A.); (E.K.); (K.S.)
| | - Evgeny Klimuk
- Institute of Molecular Genetics, Russian Academy of Sciences, 119334 Moscow, Russia; (N.A.); (E.K.); (K.S.)
| | - Subray Hedge
- Department of Biochemistry, Albert Einstein College of Medicine, New York, NY 10461, USA; (S.H.); (H.X.); (J.B.)
| | - Marleen Voet
- Department of Biosystems, KU Leuven, 3000 Leuven, Belgium; (P.-J.C.); (J.D.S.); (J.W.); (M.V.); (H.H.); (J.P.)
| | - Hanne Hendrix
- Department of Biosystems, KU Leuven, 3000 Leuven, Belgium; (P.-J.C.); (J.D.S.); (J.W.); (M.V.); (H.H.); (J.P.)
| | - Jan Paeshuyse
- Department of Biosystems, KU Leuven, 3000 Leuven, Belgium; (P.-J.C.); (J.D.S.); (J.W.); (M.V.); (H.H.); (J.P.)
| | - Bart Landuyt
- Department of Biology, KU Leuven, 3000 Leuven, Belgium;
| | - Hua Xu
- Department of Biochemistry, Albert Einstein College of Medicine, New York, NY 10461, USA; (S.H.); (H.X.); (J.B.)
| | - John Blanchard
- Department of Biochemistry, Albert Einstein College of Medicine, New York, NY 10461, USA; (S.H.); (H.X.); (J.B.)
| | - Konstantin Severinov
- Institute of Molecular Genetics, Russian Academy of Sciences, 119334 Moscow, Russia; (N.A.); (E.K.); (K.S.)
| | - Rob Lavigne
- Department of Biosystems, KU Leuven, 3000 Leuven, Belgium; (P.-J.C.); (J.D.S.); (J.W.); (M.V.); (H.H.); (J.P.)
- Correspondence: ; Tel.: +32-16-379-524
| |
Collapse
|