Metabolomics-Based Chemotaxonomic Classification of Streptomyces spp. and Its Correlation with Antibacterial Activity

Lee, Mee Youn; Kim, Hyang Yeon; Lee, Sarah; Kim, Jeong-Gu; Suh, Joo‐Won; Lee, Choong Hwan

doi:10.4014/jmb.1503.03005

Cited by 8 publications

(5 citation statements)

References 45 publications

(59 reference statements)

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“…3B), and chemotaxonomic classification based on Streptomyces using liquid chromatography-electrospray ionization-tandem mass spectrometry (LC–ESI–MS/MS) combined with multivariate statistical analysis demonstrated that metabolite-based chemotaxonomic classification is an effective tool for distinguishing Streptomyces spp. and for determining their species-specific metabolites [21].…”

Section: Resultsmentioning

confidence: 99%

Metabolomic comparison usingStreptomycesspp. as a factory of secondary metabolites

Clavo

Pereira

Quiñones³

et al. 2022

Preprint

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Understanding extremophiles and their usefulness in biotechnology involves studying their habitat, physiology and biochemical adaptations, as well as their ability to produce biocatalysts, in environments that are still poorly explored. In northwestern Peru, which has saline lagoons of marine origin Pacific Ocean, the other site is from the coast of Brazil of the Atlantic Ocean. Both environments are considered extreme. The objective of the present work was to compare two different strains isolated from these extreme environments at the metabolic level using molecular network methodology through the Global Natural Products Molecular Social Network (GNPS). In our study, the MS/MS spectra from the network were compared with GNPS spectral libraries, where the metabolites were annotated. Differences were observed in the molecular network presented in the two strains of Streptomyces spp. coming from these two different environments. Within the annotated compounds from marine bacteria, the metabolites characterized for Streptomyces sp. B-81 from Peruvian marshes were lobophorins A (1) and H (2), as well as divergolides A (3), B (4) and C (5). Streptomyces sp. 796.1 produced different compounds, such as glucopiericidin A (6) and dehydro-piericidin A1a (7). The search for new metabolites in underexplored environments may therefore reveal new metabolites with potential application in different areas of biotechnology.

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Section: Resultsmentioning

confidence: 99%

Metabolomic comparison usingStreptomycesspp. as a factory of secondary metabolites

Clavo

Pereira

Quiñones³

et al. 2022

Preprint

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“…Moreover, determining phylogenetically close strains and comparing their smBGCs elucidates genetic factors involved in secondary metabolite biosynthesis ( Cho et al., 2019 ; Kim et al., 2020 ). In addition, certain Streptomyces species are human or plant pathogens, such as S. sudanensis ( Quintana et al., 2008 ) and S. ipomoeae ( Lee et al., 2015 ); thus, an accurate classification pipeline is required to determine Streptomyces taxonomy.…”

Section: Discussionmentioning

confidence: 99%

Re-classification of Streptomyces venezuelae strains and mining secondary metabolite biosynthetic gene clusters

et al. 2021

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Summary Streptomyces species have attracted considerable interest as a reservoir of medically important secondary metabolites, which are even diverse and different between strains. Here, we reassess ten Streptomyces venezuelae strains by presenting the highly resolved classification, using 16S rRNA sequencing, MALDI-TOF MS protein profiling, and whole-genome sequencing. The results revealed that seven of the ten strains were misclassified as S . venezuelae species. Secondary metabolite biosynthetic gene cluster (smBGC) mining and targeted LC-MS/MS based metabolite screening of S. venezuelae and misclassified strains identified in total 59 secondary metabolites production. In addition, a comparison of pyrrolamide-type antibiotic BGCs of four misclassified strains, followed by functional genomics, revealed that athv28 is critical in the synthesis of the anthelvencin precursor, 5-amino-3,4-dihydro-2H-pyrrole-2-carboxylate (ADPC). Our findings illustrate the importance of the accurate classification and better utilization of misclassified Streptomyces strains to discover smBGCs and their secondary metabolite products.

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“…Metabolites produced by microorganisms are crucial sources of antifungal compounds [ 6 ]. They may be developed as products directly or as a lead compound for chemical optimization [ 7 , 8 ]. In this regard, Streptomyces strains are the primary source to obtain metabolites.…”

Section: Introductionmentioning

confidence: 99%

Antibacterial Activity of Aureonuclemycin Produced by Streptomyces aureus Strain SPRI-371

Wang

Feng²,

Li³

et al. 2022

Molecules

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Actinomycetes play a vital role as one of the most important natural resources for both pharmaceutical and agricultural applications. The actinomycete strain SPRI-371, isolated from soil collected in Jiangsu province, China, was classified as Streptomyces aureus based on its morphological, physiological, biochemical and molecular biological characteristics. Its bacterial activity metabolites were identified as aureonuclemycin (ANM), belonging to adenosine derivatives with the molecular formula C16H19N5O9 for ANM A and C10H13N5O3 for ANM B. Simultaneously, the industrial fermentation process of a mutated S. aureus strain SPRI-371 was optimized in a 20 m3 fermentation tank, featuring a rotation speed of 170 rpm, a pressure of 0.05 MPa, an inoculum age of 36–40 h and a dissolved oxygen level maintained at 1–30% within 40–80 h and at >60% in the later period, resulting in an ANM yield of >3700 mg/L. In the industrial separation of fermentation broth, the sulfuric acid solution was selected to adjust pH and 4# resin was used for adsorption. Then, it was resolved with 20% ethanol solution and concentrated in a vacuum (60–65 °C), with excellent results. Antibacterial experiments showed that ANM was less active or inactive against Xanthomonas oryzae pv. oryzae, Xanthomonas citri subsp. citri and Xanthomonas oryzae pv. oryzicola and most bacteria, yeast and fungi in vitro. However, in vivo experiments showed that ANM exhibited extremely significant protective and therapeutic activity against diseases caused by X. oryzae pv. oryzae and X. oryzae pv. oryzicola in rice and X. citri in oranges and lemons. In field trials, ANM A 150 gai/ha + ANM B 75 gai/ha exhibited excellent therapeutic activity against rice bacterial leaf blight, citrus canker and rice bacterial leaf streak. Furthermore, as the dosage and production cost of ANM are lower than those of commercial drugs, it has good application prospects.

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Metabolomics-Based Chemotaxonomic Classification of Streptomyces spp. and Its Correlation with Antibacterial Activity

Cited by 8 publications

References 45 publications

Metabolomic comparison usingStreptomycesspp. as a factory of secondary metabolites

Metabolomic comparison usingStreptomycesspp. as a factory of secondary metabolites

Re-classification of Streptomyces venezuelae strains and mining secondary metabolite biosynthetic gene clusters

Antibacterial Activity of Aureonuclemycin Produced by Streptomyces aureus Strain SPRI-371

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