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223 results for “Streptomyces”
Fig. 3. 4 in Undescribed polyether ionophores from Streptomyces cacaoi and their antibacterial and antiproliferative activities
Fig. 3. 4 treatment results in proteasome inhibition and ER stress. A) Proteasomal activity was determined via Suc-Leu-Leu-Val-Tyr AMC. 1 μM Mg132 was used as a proteasome inhibitor. Reported values were normalized to cells treated with vehicle. Error bars represent standard deviation. p-values were calculated with respect to the vehicle-treated cells (****p <0.0001). B) The level of K48-linked ubiquitinated proteins was determined by IB. C) After cells were treated with 4 or vehicle for 24 h, soluble and insoluble protein fractions were prepared, then the levels of K48-linked ubiquitinated proteins were investigated. D) Following A549 cells were treated with 10 and 20 μM 4 or vehicle for 24 h, CHOP and BIP protein levels were determined via IB. E) ROS production was determined via 2′,7′-Dichlorodihydrofluorescein diacetate (DCFH). 200 mM H2O2 was used as a positive control (1 h). Error bars represent standard deviation and p-values were calculated with respect to vehicle-treated cells. (**p = 0.009, ***p = 0.0002, ****p <0.0001).
Fig. 2. 4 in Undescribed polyether ionophores from Streptomyces cacaoi and their antibacterial and antiproliferative activities
Fig. 2. 4 triggers apoptosis and inhibits autophagic flux similar to K41-A. (A–D) A549 cells were treated with 4 (10 and 20 μM), K41-A (7 and 14 μM), or vehicle for 24 h. A) Expression level of cleaved and full length of PARP-1 was analyzed via immunoblotting (IB). (* indicate overexposure of full-length PARP-1.) B) Conversion of LC3-I to LC3-II, C) p62 level, and D) Atg-7 levels were determined via IB. (E-F) A549 cells which stably express mCherry-GFP-LC3 probe were treated with 20 μM 4, 14 μM K41-A or vehicle. Additionally, 100 ng/mL Bafilomycin was used as positive control which blocks autophagic flux. E) The mCherry-GFP-LC3 expression was visualized by fluorescence microscopy and the representative data are shown. F) Percentage of autophagosomes (mCherry+/GFP+, yellow puncta) and autolysosomes (mCherry+/GFP, red puncta) number were quantified by counting at least 40 cells. Error bars represent standard deviation and p-values were calculated with respect to vehicle-treated cells.
Fig. 1 in Antimalarial and antimicrobial substances isolated from the endophytic actinomycete, Streptomyces aculeolatus MS1-6
Fig. 1. Chemical structures of compounds isolated from the endophytic actinomycete, Streptomyces aculeolatus MS1-6.
TEM dataset for "Simultaneous entry as an adaptation to virulence in a novel satellite-helper system infecting Streptomyces species"
<p>Dataset of thirteen transmission electron micrographs of the Flayer satellite-helper phage system. Images of MindFlayer helper virions with MiniFlayer satellite attachment were taken on a Morgagni M268 Transmission Electron Microscope and used for morphological measurements. </p>
The evolution of morphological development is congruent with the species phylogeny in the genus Streptomyces
Open the record for dataset details and reuse information.
Antibiotic production in Streptomyces is organized by a division of labour through terminal genomic differentiation
Open the record for dataset details and reuse information.
Fig. 3 in Streptomyces aquilus sp. nov., a novel actinomycete isolated from a Chinese medicinal plant
Fig. 3. Neighbor-joining tree based on five-gene concatenated sequences (atpD, gyrB, recA, rpoB and trpB, 2458 nt) showing the relationships between the related members of the genus Streptomyces. Mycobacterium tuberculosis H37RvT was used as an outgroup. Bootstrap percentages over 50% derived from 1000 replications are shown at the nodes. Asterisks indicate branches that were also found using the maximum-likelihood method and the maximum-parsimony method. Bar, 0.05 substitutions per site.
Fig. 2 in Streptomyces aquilus sp. nov., a novel actinomycete isolated from a Chinese medicinal plant
Fig. 2. Neighbor-joining phylogenetic tree based on 16S rRNA gene sequences showing the relationship between selected species of the genus Streptomyces. Mycobacterium tuberculosis H37RvT was used as an outgroup. Bootstrap percentages over 50% derived from 1000 replications are shown at the nodes. Asterisks indicate branches also recovered in the maximum-likelihood and maximum-parsimony trees. Bar, 0.01 nucleotide substitutions per site.
Data from: Competition sensing changes antibiotic production in Streptomyces
<p>One of the most important ways that bacteria compete for resources and space is by producing antibiotics that inhibit competitors. Because antibiotic production is costly, the biosynthetic gene clusters coordinating their synthesis are under strict regulatory control and often require "elicitors" to induce expression, including cues from competing strains. Although these cues are common, they are not produced by all competitors, and so the phenotypes causing induction remain unknown. By studying interactions between 24 antibiotic-producing strains of streptomycetes, we show that strains commonly inhibit each other's growth and that this occurs more frequently if strains are closely related. Next, we show that antibiotic production is more likely to be induced by cues from strains that are closely related or that share secondary metabolite biosynthetic gene clusters (BGCs). Unexpectedly, antibiotic production is less likely to be induced by competitors that inhibit the growth of a focal strain, indicating that cell damage is not a general cue for induction. In addition to induction, antibiotic production often decreases in the presence of a competitor, although this response was not associated with genetic relatedness or overlap in BGCs. Finally, we show that resource limitation increases the chance that antibiotic production declines during competition. Our results reveal the importance of social cues and resource availability in the dynamics of interference competition in streptomycetes.</p>
Data from: Identification of glucose kinase dependent and independent pathways for carbon control of primary metabolism, development and antibiotic production in Streptomyces coelicolor by quantitative proteomics
Members of the soil-dwelling prokaryotic genus Streptomyces are indispensable for the recycling of complex polysaccharides, and produce a wide range of natural products. Nutrient availability is a major determinant for the switch to development and antibiotic production in streptomycetes. Carbon catabolite repression (CCR), a main signaling pathway underlying this phenomenon, was so far considered fully dependent on the glycolytic enzyme glucose kinase (Glk). Here we provide evidence of a novel Glk-independent pathway in Streptomyces coelicolor, using advanced proteomics that allowed the comparison of the expression of some 2,000 proteins, including virtually all enzymes for central metabolism. While CCR and inducer exclusion of enzymes for primary and secondary metabolism and precursor supply for natural products is mostly mediated via Glk, enzymes for the urea cycle, as well as for biosynthesis of the γ-butyrolactone Scb1 and the responsive cryptic polyketide Cpk are subject to Glk-independent CCR. Deletion of glkA led to strong downregulation of biosynthetic proteins for prodigionin and calcium-dependent antibiotic (CDA) in mannitol-grown cultures. Repression of bldB, bldN, and its target bldM explains the poor development of S. coelicolor on solid-grown cultures containing glucose. A new model for carbon catabolite repression in streptomycetes is presented.
The Cytoscape session file for the network of siderophore BGCs predicted from Streptomyces genomes
<p>The Cytoscape session file for the network of siderophore BGCs predicted from Streptomyces genomes</p>
The Cytoscape session file for the network of indole BGCs predicted from Streptomyces genomes
<p>The Cytoscape session file for the network of indole BGCs predicted from Streptomyces genomes</p>
Global metabolic landscape of Streptomyces strains reveals association between primary and secondary metabolism
<p>SBML files of Streptomyces GEMs</p>
Fig. 3 in The antimicrobial potential from insect microbiomes of Streptomyces
Fig. 3 Bioactivity of insect-associated Streptomyces. a Fungal and b Gram-negative pathogens are significantly more inhibited by insect-associated isolates compared to soil- and plant-sourced Streptomyces (n = 1162, 186, and 178 for insect, soil, and plant, respectively; ***p <1e−3; **p <1e−2; t-test, BY correction). c Strains vary in antimicrobial bioactivity by insect host orders (n = 87, 69, 327, 518, 94, and 39 for Blattodea, Coleoptera, Diptera, Hymenoptera, Lepidoptera, and Orthoptera, respectively). a–c: center, median; box, upper and lower quantiles; notches, 95% confidence; whiskers, 1.5× interquartile range; points, outliers. d Hit rate for insect, soil, and plant strains against individual pathogens (n = 1162, 186, and 178 for insect, soil, and plant, respectively)
Fig. 2 in The antimicrobial potential from insect microbiomes of Streptomyces
Fig. 2 Distinct lineages of Streptomyces associate with insect hosts. a A genomic phylogeny constructed from 93 single-copy core bacterial genes is shown to the left with the major clades, Clade I (C–I) and Clade II (C-II), labeled (B = Basal, S = Streptomyces). 16S sequences were mapped to the genomic phylogeny and the distribution of free-living (tan) and insectassociated (blue) strains is shown as both pie and bar charts to the right. Number of total strains is shown to left of pies. b–f A more detailed mapping of 16S sequences onto the genomic tree is shown for clades S01 (b), S06 (c), S07 (d), S08 (e), and S13 (f). g–j 16S phylogenies from sequences mapped to clade S06 (g), S07 (h), S08 (i), and S13 (j)
FIGURE 20 in alpha-amylase inhibitor Parvulustat (Z-2685) from Streptomyces parvulus
FIGURE 20. Collection locality of Deione lingulata n. sp. in Hainan, China.
Fig. 1 in Cytotoxic metabolites from the marine-associated Streptomyces sp. ZZ1944
Fig. 1. Structure of isolated compounds 1–20.
Fig. 6 in Cytotoxic metabolites from the marine-associated Streptomyces sp. ZZ1944
Fig. 6. Key HMBC, COSY and NOE correlations of streptorapamycin A (13).
Fig. 7 in Feature-based molecular networking-guided discovery of siderophores from a marine mesophotic zone Axinellida sponge-associated actinomycete Streptomyces diastaticus NBU2966
Fig. 7. Experimental and calculated ECD spectra of compounds 5, 6, 7, 9, and 10.
Fig. 4 in Feature-based molecular networking-guided discovery of siderophores from a marine mesophotic zone Axinellida sponge-associated actinomycete Streptomyces diastaticus NBU2966
Fig. 4. Putative mechanism leading to the formation of epimers in 5 and 9.
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Allen Brain Atlas
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Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
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The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
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