scholarly journals Isolation and Characterization of Streptomyces spp. from Soil Showing Broad Spectrum Antibiotic Activity

2012 ◽  
Vol 48 (4) ◽  
pp. 270-274 ◽  
Author(s):  
Sewook Park ◽  
Taeok Bae ◽  
Seung Bum Kim
2001 ◽  
Vol 14 (4) ◽  
pp. 545-554 ◽  
Author(s):  
Gustavo Hernández-Guzmán ◽  
Ariel Alvarez-Morales

Pseudomonas syringae pv. phaseolicola is the causal agent of the “halo blight” disease of beans. A key component in the development of the disease is a nonhost-specific toxin, Nδ-(N'-sulphodiaminophosphinyl)-ornithyl-alanyl-homoarginine, known as phaseolotoxin. The homoarginine residue in this molecule has been suggested to be the product of Larginine:lysine amidinotransferase activity, previously detected in extracts of P. syringae pv. phaseolicola grown under conditions of phaseolotoxin production. We report the isolation and characterization of an amidinotransferase gene (amtA) from P. syringae pv. phaseolicola coding for a polypeptide of 362 residues (41.36 kDa) and showing approximately 40% sequence similarity to Larginine:inosamine-phosphate amidinotransferase from three species of Streptomyces spp. and 50.4% with an Larginine:glycine amidinotransferase from human mitochondria. The cysteine, histidine, and aspartic acid residues involved in substrate binding are conserved. Furthermore, expression of the amtA and argK genes and phaseolotoxin production occurs at 18°C but not at 28°C. An amidinotransferase insertion mutant was obtained that lost the capacity to synthesize homoarginine and phaseolotoxin. These results show that the amtA gene isolated is responsible for the amidinotransferase activity detected previously and that phaseolotoxin production depends upon the activity of this gene.


1986 ◽  
Vol 32 (10) ◽  
pp. 765-771 ◽  
Author(s):  
A. Gálvez ◽  
M. Maqueda ◽  
E. Valdivia ◽  
A. Quesada ◽  
E. Montoya

Streptococcus faecalis S-48 produces a broad spectrum antibiotic, active against Gram-positive and Gram-negative bacteria. This substance is produced in solid and liquid media and also in a defined basal medium. It is sensitive to protease, pronase, or trypsin, heating at 70 °C, and alkaline pH, but resistant to treatment with lipase, lysozyme, alkaline phosphatase, DNAase, RNAase, acidic or neutral pHs, and also lower temperatures (60 °C). Several organic solvents cause precipitation, but not inactivation. This antibiotic has been partially purified by gel filtration and further ion-exchange chromatography. Its molecular weight has been estimated close to 2000. The biological activity of this antagonistic substance against the selected indicator strains, Streptococcus faecalis S-47 and Escherichia coli U-9, is bactericidal. The characterization of this substance, initially classified as a bacteriocin, indicates that it is an antibiotic of peptidic nature. The significance of antibiotic occurrence in group D of the genus Streptococcus is also discussed.


PLoS ONE ◽  
2014 ◽  
Vol 9 (4) ◽  
pp. e94220 ◽  
Author(s):  
Zhongqin Cheng ◽  
Xiangxun Meng ◽  
Haichao Wang ◽  
Mei Chen ◽  
Mengying Li

2013 ◽  
Vol 110 (25) ◽  
pp. 10282-10287 ◽  
Author(s):  
N. S. Ramadoss ◽  
J. N. Alumasa ◽  
L. Cheng ◽  
Y. Wang ◽  
S. Li ◽  
...  

2020 ◽  
Vol 13 (9) ◽  
pp. 204
Author(s):  
Rodrigo A. Nava Lara ◽  
Jesús A. Beltrán ◽  
Carlos A. Brizuela ◽  
Gabriel Del Rio

Polypharmacologic human-targeted antimicrobials (polyHAM) are potentially useful in the treatment of complex human diseases where the microbiome is important (e.g., diabetes, hypertension). We previously reported a machine-learning approach to identify polyHAM from FDA-approved human targeted drugs using a heterologous approach (training with peptides and non-peptide compounds). Here we discover that polyHAM are more likely to be found among antimicrobials displaying a broad-spectrum antibiotic activity and that topological, but not chemical features, are most informative to classify this activity. A heterologous machine-learning approach was trained with broad-spectrum antimicrobials and tested with human metabolites; these metabolites were labeled as antimicrobials or non-antimicrobials based on a naïve text-mining approach. Human metabolites are not commonly recognized as antimicrobials yet circulate in the human body where microbes are found and our heterologous model was able to classify those with antimicrobial activity. These results provide the basis to develop applications aimed to design human diets that purposely alter metabolic compounds proportions as a way to control human microbiome.


FEBS Letters ◽  
1996 ◽  
Vol 380 (3) ◽  
pp. 237-240 ◽  
Author(s):  
Ionnis Vouldoukis ◽  
Yechiel Shai ◽  
Pierre Nicolas ◽  
Amram Mor

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