Bioactivities and molecular networking-based elucidation of metabolites of potent actinobacterial strains isolated from the Unkeshwar geothermal springs in India

Mehetre, Gajanan T.; Sahayasheela, Vinodh J; Burkul, Bhushan B.; Desai, Dnyanada G.; Santhakumari, B.; Dharne, Mahesh; Dastager, Syed G.

doi:10.1039/c8ra09449g

Cited by 10 publications

(4 citation statements)

References 45 publications

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“…Earlier research indicates that brevianamide F could potentially be employed in the treatment of cardiovascular dysfunction, and bacterial infection [92,93]. Apart from functioning as a glycopeptide-like antibiotic, cyclo-(Phenylalanyl-Prolyl) has demonstrated various significant roles, including inhibiting membrane permeability and decelerating DNA synthesis [94].…”

Section: Discussionmentioning

confidence: 99%

Metabolic Comparison and Molecular Networking of Antimicrobials in Streptomyces Species

Thapa,

Huo,

Budhathoki

et al. 2024

IJMS

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Streptomyces are well-known for producing bioactive secondary metabolites, with numerous antimicrobials essential to fight against infectious diseases. Globally, multidrug-resistant (MDR) microorganisms significantly challenge human and veterinary diseases. To tackle this issue, there is an urgent need for alternative antimicrobials. In the search for potent agents, we have isolated four Streptomyces species PC1, BT1, BT2, and BT3 from soils collected from various geographical regions of the Himalayan country Nepal, which were then identified based on morphology and 16S rRNA gene sequencing. The relationship of soil microbes with different Streptomyces species has been shown in phylogenetic trees. Antimicrobial potency of isolates was carried out against Staphylococcus aureus American Type Culture Collection (ATCC) 43300, Shigella sonnei ATCC 25931, Salmonella typhi ATCC 14028, Klebsiella pneumoniae ATCC 700603, and Escherichia coli ATCC 25922. Among them, Streptomyces species PC1 showed the highest zone of inhibition against tested pathogens. Furthermore, ethyl acetate extracts of shake flask fermentation of these Streptomyces strains were subjected to liquid chromatography-tandem mass spectrometric (LC-MS/MS) analysis for their metabolic comparison and Global Natural Products Social Molecular Networking (GNPS) web-based molecular networking. We found very similar metabolite composition in four strains, despite their geographical variation. In addition, we have identified thirty-seven metabolites using LC-MS/MS analysis, with the majority belonging to the diketopiperazine class. Among these, to the best of our knowledge, four metabolites, namely cyclo-(Ile-Ser), 2-n-hexyl-5-n-propylresorcinol, 3-[(6-methylpyrazin-2-yl) methyl]-1H-indole, and cyclo-(d-Leu-l-Trp), were detected for the first time in Streptomyces species. Besides these, other 23 metabolites including surfactin B, surfactin C, surfactin D, and valinomycin were identified with the help of GNPS-based molecular networking.

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Section: Discussionmentioning

confidence: 99%

Metabolic Comparison and Molecular Networking of Antimicrobials in Streptomyces Species

Thapa,

Huo,

Budhathoki

et al. 2024

IJMS

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“…The SCADC1-2-3 group is part of a family of thermophilic sulphate-reducing bacteria and has been detected in subsurface waters (Gavrilov et al, 2022). The Microbacterium species described so far are known to be tolerant to extreme conditions, for instance to the presence of arsenic (Achour-Rokbani et al, 2010), and have been isolated notably from a heated aquifer bore well (Adelskov and Patel, 2017), surface hot springs (Mehetre et al, 2019), and from the Atacama Desert (Mandakovic et al, 2020).…”

Section: Variation Of the Composition Of Dom And Microbial Community ...mentioning

confidence: 99%

Methods to characterize type, relevance, and interactions of organic matter and microorganisms in fluids along the flow path of a geothermal facility

Leins,

Bregnard,

Vieth-Hillebrand

et al. 2023

Preprint

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Abstract. Dissolved organic matter and microorganisms were analyzed along the flow path of a geothermal facility in Austria. Various analytical methods were used to characterize and differentiate between natural and synthetic organic matter, characterize the microbial community composition, and determine the implications of microorganisms in an operating a geothermal site. Dissolved organic carbon (DOC) concentrations were in the range of 8.4–10.3 mg C L−1 and typically decreased from the production to the injection side. Carbonate scalings are avoided in the facility by the injection of a chemical scaling inhibitor within the production well at 500 m depth. It was calculated that the inhibitor contributes approximately 1 mg C L−1 DOC to the produced fluids. Ion chromatography (IC), liquid chromatography – organic carbon detection (LC-OCD) and Fourier-transform ion cyclotron resonance mass spectrometry (FT-ICR-MS) in negative electrospray ionization (ESI(−)) and positive atmospheric pressure photoionization (APPI(+)) mode were applied to the fluid samples to characterize the dissolved organic matter (DOM) composition and distinguish between the inhibitor and the natural DOM. Depending on the applied ionization mode, FT-ICR-MS results show that between 31 % and 65 % of the macromolecular formulas detected in the fluid samples seem to originate from the inhibitor. However, the DOM is mainly composed of low molecular weight acids (LMWA), especially acetate with up to 7.4 mg C L−1. The microbial community composition varied along the flowpath with dominant phyla being Firmicutes, Proteobacteria, and Thermotogae. Based on the microorganisms found in the sample, the metabolic pathways have been assessed. Acetate might be produced by microorganisms through various fermentation processes (e.g. from lysine, pyruvate and hexitol). Assessing the presence and interaction of organic compounds and microorganisms in geothermal fluids provides a broader understanding of processes within the geothermal facility. This understanding could be beneficial for the efficient use of a geothermal power plant.

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“…Using this approach, secondary metabolites from various actinomycetes have been dereplicated. 81 LC coupled with MS can achieve high-throughput screening of metabolites; however, the analysis of the data in an efficient way remains challenging. Moreover, this requires researchers manually to search various datasets, such as UV signatures, mass spectra, and microorganisms in different databases, which are far from comprehensive.…”

Section: Application Of Ai/ml In Natural Product Discoverymentioning

confidence: 99%

Artificial intelligence in microbial natural product drug discovery: current and emerging role

et al. 2022

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Bioactivities and molecular networking-based elucidation of metabolites of potent actinobacterial strains isolated from the Unkeshwar geothermal springs in India

Abstract: The bioactive potential of Actinobacteria endemic to hot springs has rarely been investigated.

Cited by 10 publications

References 45 publications

Metabolic Comparison and Molecular Networking of Antimicrobials in Streptomyces Species

Metabolic Comparison and Molecular Networking of Antimicrobials in Streptomyces Species

Methods to characterize type, relevance, and interactions of organic matter and microorganisms in fluids along the flow path of a geothermal facility

Artificial intelligence in microbial natural product drug discovery: current and emerging role

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