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(Reference retrieved automatically from SciELO through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

Genome Mining of Endophytic Streptomyces wadayamensis Reveals High Antibiotic Production Capability

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Author(s):
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Célio F. F. Angolini ; Ana B. Gonçalves ; Renata Sigrist ; Bruno S. Paulo ; Markiyan Samborskyy ; Pedro L. R. Cruz ; Adriana F. Vivian ; Eduardo M. Schmidt ; Marcos N. Eberlin ; Welington L. Araújo ; Luciana G. de Oliveira
Total Authors: 11
Document type: Journal article
Source: Journal of the Brazilian Chemical Society; v. 27, n. 8, p. 1465-1475, Ago. 2016.
Abstract

The actinobacteria Streptomyces wadayamensis A23, an endophitic strain, was recently sequenced and previous work showed qualitatively that the strain inhibits the growth of some pathogens. Herein we report the genome analysis of S. wadayamensis which reveals several antibiotic biosynthetic pathways. Using mass spectrometry, we were able to identify desferoxamines, several antimycins and candicidin, as predicted. Additionally, it was possible to confirm that the biosynthetic machinery of the strain when compared to identified known metabolites is far underestimated. As suggested by biochemical qualitative tests, genome encoded information reveals that the strain A23 has high capability to produce antibiotics. (AU)

FAPESP's process: 13/12598-8 - Mining a of t1PKS-transAT PKS-NRPS in Streptomyces sp.
Grantee:Renata Sigrist
Support type: Scholarships in Brazil - Master
FAPESP's process: 15/01013-4 - Mining a t1PKS-transAT PKS-NRPS in Streptomyces sp. genome
Grantee:Renata Sigrist
Support type: Scholarships in Brazil - Doctorate (Direct)
FAPESP's process: 10/51677-2 - Development of new mass spectrometry techniques and their general applications in science: chemistry, biochemistry, material sciences, forensics, medicine, food science, pharmaceutical and veterinary medicine
Grantee:Marcos Nogueira Eberlin
Support type: Research Projects - Thematic Grants
FAPESP's process: 14/12727-5 - Genome mining in Streptomyces
Grantee:Luciana Gonzaga de Oliveira
Support type: Regular Research Grants