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opennotspecifiedDec 2019View details →

Fig. 4 Ecology and phylogeny influence biosynthetic potential. a A in The antimicrobial potential from insect microbiomes of Streptomyces

Fig. 4 Ecology and phylogeny influence biosynthetic potential. a A core-genome phylogeny shows evolutionarily distinct lineages of Streptomyces associate with insects (subset shown, see Supplementary Figure 2). BGC similarity to known BGCs highlights the biosynthetic diversity of insect microbiome strains. b Source invariant (blue) and sub-clade invariant (red) BGC families suggest BGC presence is influenced by both source and phylogeny. LC/MS metabolomics revealed MFs that are unique to c source and d phylogeny. e PCA of the metabolomes identified an outlier strain and f MFs that contribute to its uniqueness, including cyphomycin

opennotspecifiedDec 2019View details →

Fig. 1 Sampling strategy for Streptomyces from insect microbiomes. Streptomyces were isolated from a in The antimicrobial potential from insect microbiomes of Streptomyces

Fig. 1 Sampling strategy for Streptomyces from insect microbiomes. Streptomyces were isolated from a wide range of insects and geographies (1445 insects; 10,178 strains; dot size, insects sampled). Streptomyces production of the antifungal mycangimycin (1) in the Southern Pine Beetle system is shown at right. Cyphomycin (2) is a new antifungal described herein. Photo credits: southern pine beetle - Erich G. Vallery; fungus-growing ant – Alexander Wild

opencc-by-4.0Sep 2024View details →

X-ray diffraction data of xylose isomerase from Streptomyces avermitilis

X-ray diffraction data of xylose isomerase from Streptomyces avermitilis Data type: X-ray diffraction images Data format: img Data collection Synchrotron: Pohang Light Source II Beamline: 7A

FIGURES 23–28. Talthybia depressa Thorell, 1898. 23–28, female. 23 in alpha-amylase inhibitor Parvulustat (Z-2685) from Streptomyces parvulus

FIGURES 23–28. Talthybia depressa Thorell, 1898. 23–28, female. 23. Carapace, dorsal; 24. Abdomen, dorsal; 25. Carapace and chelicerae, frontal; 26. Epigynum, ventral; 27. Same, lateral; 28. Vulva, dorsal. Scale bars: 23–25, 1.0 mm; 26–28, 0.5 mm.

FIGURES 21–22. Talthybia depressa Thorell, 1898. 21–22, immature male holotype. 21 in alpha-amylase inhibitor Parvulustat (Z-2685) from Streptomyces parvulus

FIGURES 21–22. Talthybia depressa Thorell, 1898. 21–22, immature male holotype. 21. Carapace and abdomen, dorsal; 22. Abdomen, ventral. Scale bars: 21–22, 1.0 mm.

FIGURES 18–19. 18. Deione lingulata n in alpha-amylase inhibitor Parvulustat (Z-2685) from Streptomyces parvulus

FIGURES 18–19. 18. Deione lingulata n. sp., vulva, dorsal; 15. Talthybia depressa Thorell, 1898, vulva, dorsal. Scale bars: 18, 0.01 mm; 19, 0.02 mm.

FIGURES 6–13. Deione lingulata n in alpha-amylase inhibitor Parvulustat (Z-2685) from Streptomyces parvulus

FIGURES 6–13. Deione lingulata n. sp., 6–10, female. 6. Carapace and abdomen, dorsal view; 7. Same lateral view; 8, 9. Epigynum, ventral; 10. Same, caudal; 11–13, male. 11. Tibia and Metatarsus II, retrolateral; 12. Left male palp, prolateral; 13. Same, retrolateral. Scale bars: 6–7, 1.0mm; 8-10, 12, 13, 0. 1 mm; 11, 0.5 mm.

FIGURES 14–17. Deione lingulata n in alpha-amylase inhibitor Parvulustat (Z-2685) from Streptomyces parvulus

FIGURES 14–17. Deione lingulata n. sp., 14. Male habitus, dorsal; 15. Female habitus, dorsal; 16. Left Tibia and Metatarsus II of male, retrolateral. Talthybia depressa Thorell, 1898, 16. Female habitus, dorsal. Scale bars: 14–16, 1.0 mm; 17, 5.0 mm.

FIGURES 1–5. Deione thoracica Thorell, 1898. 1–5, Female holotype. 1 in alpha-amylase inhibitor Parvulustat (Z-2685) from Streptomyces parvulus

FIGURES 1–5. Deione thoracica Thorell, 1898. 1–5, Female holotype. 1. Carapace and abdomen, dorsal; 2. Carapace and abdomen, lateral; 3. Cephalic region and chelicerae, frontal and dorsal; 4. Epigynum, ventral; 5. Epigynum, caudal. Scale bars: 1–3, 1.0 mm; 4-5, 0.1 mm.

opencc-zeroNov 2022View details →

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The evolution of morphological development is congruent with the species phylogeny in the genus Streptomyces

As the canonical model organism to dissect bacterial morphological development, Streptomyces species had attracted much attention from the microbiological society. However, the evolution of development-related genes in Streptomyces remains elusive. Here, we evaluate the distribution of development-related genes, thus indicating the majority of these genes were ubiquitous in Streptomyces genomes. Furthermore, we compare the phylogenetic topologies of related strict orthologous genes to the species tree of Streptomyces, from both concatenation and single-gene tree analyses. Meanwhile, the reconciled gene tree and normalization based on the number of parsimony-informative sites were also employed to reduce the impact of phylogenetic conflicts, which was induced by uncertainty in single-gene tree inference based merely on the sequence and the bias in the amount of phylogenetic information caused by variable numbers of parsimony-informative sites. We found that the development-related genes had higher congruence to the species tree than other strict orthologous genes. Considering the development-related genes could also be tracked back to the common ancestor of Streptomyces, these results suggest that morphological development follows the same pattern as species divergence.

Fig. 8 in Cytotoxic metabolites from the marine-associated Streptomyces sp. ZZ1944

Fig. 8. Effects of autolytimycin (AL, 9) and seco-geldanamycin A (SGA, 10) on apoptosis in glioma U251 and U87MG cells. Bortezomib (BTZ) was used as a positive control. Cells were treated with AL, SGA or BTZ for 24 h, stained with annexin-V FITC and PI and then analyzed by flow cytometry.

Fig. 5 in Cytotoxic metabolites from the marine-associated Streptomyces sp. ZZ1944

Fig. 5. Key HMBC and COSY correlations of seco-geldanamycin A (10) and the structures of herbimycin I (8), autolytimycin (9), herbimycin L (10a) and 19-hydroxyherbimycin L (10b).

Fig. 7 in Cytotoxic metabolites from the marine-associated Streptomyces sp. ZZ1944

Fig. 7. Effects of autolytimycin (AL, 9) and seco-geldanamycin A (SGA, 10) on cell cycle in glioma U251 and U87MG cells. Bortezomib (BTZ) was used as a positive control. Cells were treated with AL, SGA or BTZ for 24 h and percentage of cells at each stage of the cell cycle were shown.

Fig. 3 in Cytotoxic metabolites from the marine-associated Streptomyces sp. ZZ1944

Fig. 3. Key HMBC and COSY correlations of galbonolide I (2) and the experimental ECD spectrum of galbonolide I (2) and the calculated ECD curve of model molecule 2a at the b3lyp/6–311+g (d, p) level.

Fig. 4 in Cytotoxic metabolites from the marine-associated Streptomyces sp. ZZ1944

Fig. 4. Key HMBC and COSY correlations of streptophenylpropionic acid A (3), streptophenylpropyl ester A (4) and streptophenylvaleramide A (5).

Fig. 2 in Cytotoxic metabolites from the marine-associated Streptomyces sp. ZZ1944

Fig. 2. Key HMBC and COSY correlations of galbonolide H (1) and the structure obtained from a single crystal X-ray diffraction of galbonolide H (1).

Fig. 6 in Feature-based molecular networking-guided discovery of siderophores from a marine mesophotic zone Axinellida sponge-associated actinomycete Streptomyces diastaticus NBU2966

Fig. 6. NMR calculation results of 8. (a) Linear correlation plots of computed vs experimental 13C and 1H NMR chemical shifts. (b) Relative errors between the computed NMR values and experimental values. (c) The evaluation of NMR calculation results with statistical parameter MAE and CMAE.

Fig. 5 in Feature-based molecular networking-guided discovery of siderophores from a marine mesophotic zone Axinellida sponge-associated actinomycete Streptomyces diastaticus NBU2966

Fig. 5. NMR calculation results of two plausible isomers of 6. (a) Linear correlation plots of experimental vs computed 13C NMR chemical shifts. (b) Relative errors between the computed 13C NMR values of two potential structures and experimental 13C NMR chemical shifts. (c) The evaluation of calculation results with statistical parameter ME (Maximum Error), CME (Corrected Maximum Error), and CMAE (Corrected Mean Absolute Error).

Fig. 2 in Feature-based molecular networking-guided discovery of siderophores from a marine mesophotic zone Axinellida sponge-associated actinomycete Streptomyces diastaticus NBU2966

Fig. 2. Structures of siderophores 1–10. Three types of iron-chelating moieties are marked with blue, red, and purple, respectively. Previously undescribed natural products are highlighted with red subscript numbers. (For interpretation of the references to color in this figure legend, the reader is referred to the Web version of this article.)

Fig. 1 in Feature-based molecular networking-guided discovery of siderophores from a marine mesophotic zone Axinellida sponge-associated actinomycete Streptomyces diastaticus NBU2966

Fig. 1. Detected chemistries of the EtOAc extract of Streptomyces sp. NBU2966 as generated by LC-MS/MS, which was analyzed using NAP, Dereplicator+, and MolNetEnhancer workflow via the GNPS platform. With this network, wherein nodes represent a precursor ion, and its size is scaled to signal intensity and the thickness of edge between nodes suggests the similarity of fragment pattern. (a) Structural annotation for molecular families, wherein the color of nodes denotes the structural annotation at the superclass level by NAP. (b) Observation of molecular family A allows highlighting dereplicated (R)-2-(2-Hydroxyphenyl)-4-hydroxymethyl-4,5-dihydrothiazole. (c) Observation of molecular family B allowed to highlighting dereplicated pyochelin methyl ester. (For interpretation of the references to color in this figure legend, the reader is referred to the Web version of this article.)