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Vaňková Hausnerová V, Shoman M, Kumar D, Schwarz M, Modrák M, Jirát Matějčková J, Mikesková E, Neva S, Herrmannová A, Šiková M, Halada P, Novotná I, Pajer P, Valášek LS, Převorovský M, Krásný L, Hnilicová J. RIP-seq reveals RNAs that interact with RNA polymerase and primary sigma factors in bacteria. Nucleic Acids Res 2024; 52:4604-4626. [PMID: 38348908 PMCID: PMC11077062 DOI: 10.1093/nar/gkae081] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2023] [Revised: 01/24/2024] [Accepted: 01/29/2024] [Indexed: 05/09/2024] Open
Abstract
Bacteria have evolved structured RNAs that can associate with RNA polymerase (RNAP). Two of them have been known so far-6S RNA and Ms1 RNA but it is unclear if any other types of RNAs binding to RNAP exist in bacteria. To identify all RNAs interacting with RNAP and the primary σ factors, we have established and performed native RIP-seq in Bacillus subtilis, Corynebacterium glutamicum, Streptomyces coelicolor, Mycobacterium smegmatis and the pathogenic Mycobacterium tuberculosis. Besides known 6S RNAs in B. subtilis and Ms1 in M. smegmatis, we detected MTS2823, a homologue of Ms1, on RNAP in M. tuberculosis. In C. glutamicum, we discovered novel types of structured RNAs that associate with RNAP. Furthermore, we identified other species-specific RNAs including full-length mRNAs, revealing a previously unknown landscape of RNAs interacting with the bacterial transcription machinery.
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Affiliation(s)
- Viola Vaňková Hausnerová
- Laboratory of Microbial Genetics and Gene Expression, Institute of Microbiology of the Czech Academy of Sciences, Prague142 20, Czech Republic
- Laboratory of Regulatory RNAs, Faculty of Science, Charles University, Prague128 44, Czech Republic
| | - Mahmoud Shoman
- Laboratory of Microbial Genetics and Gene Expression, Institute of Microbiology of the Czech Academy of Sciences, Prague142 20, Czech Republic
- Laboratory of Regulatory RNAs, Faculty of Science, Charles University, Prague128 44, Czech Republic
| | - Dilip Kumar
- Laboratory of Microbial Genetics and Gene Expression, Institute of Microbiology of the Czech Academy of Sciences, Prague142 20, Czech Republic
| | - Marek Schwarz
- Laboratory of Bioinformatics, Institute of Microbiology of the Czech Academy of Sciences, Prague142 20, Czech Republic
| | - Martin Modrák
- Laboratory of Bioinformatics, Institute of Microbiology of the Czech Academy of Sciences, Prague142 20, Czech Republic
- Department of Bioinformatics, Second Faculty of Medicine, Charles University, Prague150 06, Czech Republic
| | - Jitka Jirát Matějčková
- Laboratory of Microbial Genetics and Gene Expression, Institute of Microbiology of the Czech Academy of Sciences, Prague142 20, Czech Republic
- Laboratory of Regulatory RNAs, Faculty of Science, Charles University, Prague128 44, Czech Republic
| | - Eliška Mikesková
- Laboratory of Microbial Genetics and Gene Expression, Institute of Microbiology of the Czech Academy of Sciences, Prague142 20, Czech Republic
- Laboratory of Regulatory RNAs, Faculty of Science, Charles University, Prague128 44, Czech Republic
| | - Silvia Neva
- Laboratory of Microbial Genetics and Gene Expression, Institute of Microbiology of the Czech Academy of Sciences, Prague142 20, Czech Republic
- Laboratory of Regulatory RNAs, Faculty of Science, Charles University, Prague128 44, Czech Republic
| | - Anna Herrmannová
- Laboratory of Regulation of Gene Expression, Institute of Microbiology of the Czech Academy of Sciences, Prague142 20, Czech Republic
| | - Michaela Šiková
- Laboratory of Microbial Genetics and Gene Expression, Institute of Microbiology of the Czech Academy of Sciences, Prague142 20, Czech Republic
| | - Petr Halada
- Laboratory of Structural Biology and Cell Signaling, Institute of Microbiology of the Czech Academy of Sciences, Vestec252 50, Czech Republic
| | - Iva Novotná
- Military Health Institute, Military Medical Agency, Prague169 02, Czech Republic
| | - Petr Pajer
- Military Health Institute, Military Medical Agency, Prague169 02, Czech Republic
| | - Leoš Shivaya Valášek
- Laboratory of Regulation of Gene Expression, Institute of Microbiology of the Czech Academy of Sciences, Prague142 20, Czech Republic
| | - Martin Převorovský
- Department of Cell Biology, Faculty of Science, Charles University, Prague128 00, Czech Republic
| | - Libor Krásný
- Laboratory of Microbial Genetics and Gene Expression, Institute of Microbiology of the Czech Academy of Sciences, Prague142 20, Czech Republic
| | - Jarmila Hnilicová
- Laboratory of Microbial Genetics and Gene Expression, Institute of Microbiology of the Czech Academy of Sciences, Prague142 20, Czech Republic
- Laboratory of Regulatory RNAs, Faculty of Science, Charles University, Prague128 44, Czech Republic
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Stegmüller J, Rodríguez Estévez M, Shu W, Gläser L, Myronovskyi M, Rückert-Reed C, Kalinowski J, Luzhetskyy A, Wittmann C. Systems metabolic engineering of the primary and secondary metabolism of Streptomyces albidoflavus enhances production of the reverse antibiotic nybomycin against multi-resistant Staphylococcus aureus. Metab Eng 2024; 81:123-143. [PMID: 38072358 DOI: 10.1016/j.ymben.2023.12.004] [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: 08/11/2023] [Revised: 11/17/2023] [Accepted: 12/01/2023] [Indexed: 01/23/2024]
Abstract
Nybomycin is an antibiotic compound with proven activity against multi-resistant Staphylococcus aureus, making it an interesting candidate for combating these globally threatening pathogens. For exploring its potential, sufficient amounts of nybomycin and its derivatives must be synthetized to fully study its effectiveness, safety profile, and clinical applications. As native isolates only accumulate low amounts of the compound, superior producers are needed. The heterologous cell factory S. albidoflavus 4N24, previously derived from the cluster-free chassis S. albidoflavus Del14, produced 860 μg L-1 of nybomycin, mainly in the stationary phase. A first round of strain development modulated expression of genes involved in supply of nybomycin precursors under control of the common Perm* promoter in 4N24, but without any effect. Subsequent studies with mCherry reporter strains revealed that Perm* failed to drive expression during the product synthesis phase but that use of two synthetic promoters (PkasOP* and P41) enabled strong constitutive expression during the entire process. Using PkasOP*, several rounds of metabolic engineering successively streamlined expression of genes involved in the pentose phosphate pathway, the shikimic acid pathway, supply of CoA esters, and nybomycin biosynthesis and export, which more than doubled the nybomycin titer to 1.7 mg L-1 in the sixth-generation strain NYB-6B. In addition, we identified the minimal set of nyb genes needed to synthetize the molecule using single-gene-deletion strains. Subsequently, deletion of the regulator nybW enabled nybomycin production to begin during the growth phase, further boosting the titer and productivity. Based on RNA sequencing along the created strain genealogy, we discovered that the nyb gene cluster was unfavorably downregulated in all advanced producers. This inspired removal of a part and the entire set of the four regulatory genes at the 3'-end nyb of the cluster. The corresponding mutants NYB-8 and NYB-9 exhibited marked further improvement in production, and the deregulated cluster was combined with all beneficial targets from primary metabolism. The best strain, S. albidoflavus NYB-11, accumulated up to 12 mg L-1 nybomycin, fifteenfold more than the basic strain. The absence of native gene clusters in the host and use of a lean minimal medium contributed to a selective production process, providing an important next step toward further development of nybomycin.
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Affiliation(s)
- Julian Stegmüller
- Institute of Systems Biotechnology, Saarland University, Saarbrücken, Germany
| | | | - Wei Shu
- Institute of Systems Biotechnology, Saarland University, Saarbrücken, Germany
| | - Lars Gläser
- Institute of Systems Biotechnology, Saarland University, Saarbrücken, Germany
| | - Maksym Myronovskyi
- Department of Pharmaceutical Biotechnology, Saarland University, Saarbrücken, Germany
| | | | - Jörn Kalinowski
- Center for Biotechnology, Bielefeld University, Bielefeld, Germany
| | - Andriy Luzhetskyy
- Department of Pharmaceutical Biotechnology, Saarland University, Saarbrücken, Germany
| | - Christoph Wittmann
- Institute of Systems Biotechnology, Saarland University, Saarbrücken, Germany.
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An extended catalogue of ncRNAs in Streptomyces coelicolor reporting abundant tmRNA, RNase-P RNA and RNA fragments derived from pre-ribosomal RNA leader sequences. Arch Microbiol 2022; 204:582. [PMID: 36042049 DOI: 10.1007/s00203-022-03203-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2022] [Revised: 08/05/2022] [Accepted: 08/18/2022] [Indexed: 11/02/2022]
Abstract
Streptomyces coelicolor is a model organism for studying streptomycetes. This genus possesses relevant medical and economical roles, because it produces many biologically active metabolites of pharmaceutical interest, including the majority of commercialized antibiotics. In this bioinformatic study, the transcriptome of S. coelicolor has been analyzed to identify novel RNA species and quantify the expression of both annotated and novel transcripts in solid and liquid growth medium cultures at different times. The major characteristics disclosed in this study are: (i) the diffuse antisense transcription; (ii) the great abundance of transfer-messenger RNAs (tmRNA); (iii) the abundance of rnpB transcripts, paramount for the RNase-P complex; and (iv) the presence of abundant fragments derived from pre-ribosomal RNA leader sequences of unknown biological function. Overall, this study extends the catalogue of ncRNAs in S. coelicolor and suggests an important role of non-coding transcription in the regulation of biologically active molecule production.
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Vaňková Hausnerová V, Marvalová O, Šiková M, Shoman M, Havelková J, Kambová M, Janoušková M, Kumar D, Halada P, Schwarz M, Krásný L, Hnilicová J, Pánek J. Ms1 RNA Interacts With the RNA Polymerase Core in Streptomyces coelicolor and Was Identified in Majority of Actinobacteria Using a Linguistic Gene Synteny Search. Front Microbiol 2022; 13:848536. [PMID: 35633709 PMCID: PMC9130861 DOI: 10.3389/fmicb.2022.848536] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2022] [Accepted: 02/22/2022] [Indexed: 11/15/2022] Open
Abstract
Bacteria employ small non-coding RNAs (sRNAs) to regulate gene expression. Ms1 is an sRNA that binds to the RNA polymerase (RNAP) core and affects the intracellular level of this essential enzyme. Ms1 is structurally related to 6S RNA that binds to a different form of RNAP, the holoenzyme bearing the primary sigma factor. 6S RNAs are widespread in the bacterial kingdom except for the industrially and medicinally important Actinobacteria. While Ms1 RNA was identified in Mycobacterium, it is not clear whether Ms1 RNA is present also in other Actinobacteria species. Here, using a computational search based on secondary structure similarities combined with a linguistic gene synteny approach, we identified Ms1 RNA in Streptomyces. In S. coelicolor, Ms1 RNA overlaps with the previously annotated scr3559 sRNA with an unknown function. We experimentally confirmed that Ms1 RNA/scr3559 associates with the RNAP core without the primary sigma factor HrdB in vivo. Subsequently, we applied the computational approach to other Actinobacteria and identified Ms1 RNA candidates in 824 Actinobacteria species, revealing Ms1 RNA as a widespread class of RNAP binding sRNAs, and demonstrating the ability of our multifactorial computational approach to identify weakly conserved sRNAs in evolutionarily distant genomes.
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Affiliation(s)
- Viola Vaňková Hausnerová
- Laboratory of Microbial Genetics and Gene Expression, Institute of Microbiology of the Czech Academy of Sciences, Prague, Czechia
| | - Olga Marvalová
- Laboratory of Microbial Genetics and Gene Expression, Institute of Microbiology of the Czech Academy of Sciences, Prague, Czechia
| | - Michaela Šiková
- Laboratory of Microbial Genetics and Gene Expression, Institute of Microbiology of the Czech Academy of Sciences, Prague, Czechia
| | - Mahmoud Shoman
- Laboratory of Microbial Genetics and Gene Expression, Institute of Microbiology of the Czech Academy of Sciences, Prague, Czechia
| | - Jarmila Havelková
- Laboratory of Microbial Genetics and Gene Expression, Institute of Microbiology of the Czech Academy of Sciences, Prague, Czechia
| | - Milada Kambová
- Laboratory of Microbial Genetics and Gene Expression, Institute of Microbiology of the Czech Academy of Sciences, Prague, Czechia
| | - Martina Janoušková
- Laboratory of Microbial Genetics and Gene Expression, Institute of Microbiology of the Czech Academy of Sciences, Prague, Czechia
| | - Dilip Kumar
- Laboratory of Microbial Genetics and Gene Expression, Institute of Microbiology of the Czech Academy of Sciences, Prague, Czechia
| | - Petr Halada
- Laboratory of Structural Biology and Cell Signaling, Institute of Microbiology of the Czech Academy of Sciences, Vestec, Czechia
| | - Marek Schwarz
- Laboratory of Bioinformatics, Institute of Microbiology of the Czech Academy of Sciences, Prague, Czechia
| | - Libor Krásný
- Laboratory of Microbial Genetics and Gene Expression, Institute of Microbiology of the Czech Academy of Sciences, Prague, Czechia
| | - Jarmila Hnilicová
- Laboratory of Microbial Genetics and Gene Expression, Institute of Microbiology of the Czech Academy of Sciences, Prague, Czechia
| | - Josef Pánek
- Laboratory of Bioinformatics, Institute of Microbiology of the Czech Academy of Sciences, Prague, Czechia
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Kaari M, Manikkam R, Baskaran A. Exploring Newer Biosynthetic Gene Clusters in Marine Microbial Prospecting. MARINE BIOTECHNOLOGY (NEW YORK, N.Y.) 2022; 24:448-467. [PMID: 35394575 DOI: 10.1007/s10126-022-10118-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/25/2021] [Accepted: 03/17/2022] [Indexed: 06/14/2023]
Abstract
Marine microbes genetically evolved to survive varying salinity, temperature, pH, and other stress factors by producing different bioactive metabolites. These microbial secondary metabolites (SMs) are novel, have high potential, and could be used as lead molecule. Genome sequencing of microbes revealed that they have the capability to produce numerous novel bioactive metabolites than observed under standard in vitro culture conditions. Microbial genome has specific regions responsible for SM assembly, termed biosynthetic gene clusters (BGCs), possessing all the necessary genes to encode different enzymes required to generate SM. In order to augment the microbial chemo diversity and to activate these gene clusters, various tools and techniques are developed. Metagenomics with functional gene expression studies aids in classifying novel peptides and enzymes and also in understanding the biosynthetic pathways. Genome shuffling is a high-throughput screening approach to improve the development of SMs by incorporating genomic recombination. Transcriptionally silent or lower level BGCs can be triggered by artificially knocking promoter of target BGC. Additionally, bioinformatic tools like antiSMASH, ClustScan, NAPDOS, and ClusterFinder are effective in identifying BGCs of existing class for annotation in genomes. This review summarizes the significance of BGCs and the different approaches for detecting and elucidating BGCs from marine microbes.
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Affiliation(s)
- Manigundan Kaari
- Centre for Drug Discovery and Development, Sathyabama Institute of Science and Technology, Chennai, 600 119, Tamil Nadu, India
| | - Radhakrishnan Manikkam
- Centre for Drug Discovery and Development, Sathyabama Institute of Science and Technology, Chennai, 600 119, Tamil Nadu, India.
| | - Abirami Baskaran
- Centre for Drug Discovery and Development, Sathyabama Institute of Science and Technology, Chennai, 600 119, Tamil Nadu, India
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Alahadeb JI. Inhibitory potentials of Streptomyces exfoliatus strain 'MUJA10' against bacterial pathogens isolated from rural areas in Riyadh, Saudi Arabia. PLoS One 2022; 17:e0266297. [PMID: 35421124 PMCID: PMC9009647 DOI: 10.1371/journal.pone.0266297] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2021] [Accepted: 03/17/2022] [Indexed: 11/28/2022] Open
Abstract
Healthcare-associated infections are resulting in human morbidity and mortality worldwide. These infections are directly proportional to increased multidrug resistance (MDR), which limits antibiotic treatment and make the treatment of infections challenging. Streptomyces spp. are well known to produce various biologically active compounds. Therefore, these are considered as promising biological control agents against wide range of bacterial pathogens. This study was conducted to isolate and identify the most efficient antibiotic-producing Streptomyces St 45 isolate against Staphylococcus aureus ATCC29737, Salmonella typhimurium ATCC25566, E. coli 0157h7 ATCC25922 and Bacillus subtilis. A total 40 soil and 10 water (from wells) samples were processed using standard microbiological techniques at King Faisal Research Centre, Riyadh, Saudi Arabia. The selected Streptomyces St 45 isolate was grown to produce biologically active metabolites, and the minimum concentration (MIC) was determined. Sixty isolates with antibacterial properties were selected. The 16s rRNA gene analysis was used to identify the strongest Streptomyces St 45 strain. The highest zone of inhibition (ZOI) was provided by 'MUJA10' strain of S. exfoliatus against Staphylococcus aureus ATCC29737 (51.33 ± 2.15 mm). The MIC value of 'MUJA10' metabolite of S. exfoliatus strain against Salmonella typhimurium ATCC25566 and E. coli 0157h7 ATCC25922 was 0.125 mg/ml. However, Bacillus subtilis had a MIC of 0.625 mg/ml and Staphylococcus aureus ATCC29737 had a MIC of 2.5 mg/ml. In conclusion, Streptomyces exfoliatus strain 'MUJA10' obtained from soil exhibited high inhibitory potential against human pathogens. The 16s rRNA gene analysis revealed that Streptomyces St 45 isolate was similar to Streptomyces exfoliatus A156.7 with 98% similarity and confirmed as Streptomyces exfoliates 'MUJA10' at gene bank with gene accession number OL720257.
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Affiliation(s)
- Jawaher Ibrahim Alahadeb
- Department of Biology, College of Education (Majmaah), Majmaah University, ALmajmaah, Saudi Arabia
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