Metabolomics-based chemotaxonomic classification of Streptomyces spp. and its correlation with antibacterial activity

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Abstract

Secondary metabolite-based chemotaxonomic classification of Streptomyces (8 species, 14 strains) was performed using ultraperformance liquid chromatography-quadrupole-time-offlight- mass spectrometry with multivariate statistical analysis. Most strains were generally well separated by grouping under each species. In particular, S. rimosus was discriminated from t he r emaining s ev en s pecies (S. coelicolor, S. griseus, S. indigoferus, S. peucetius, S. rubrolavendulae, S. scabiei, and S. virginiae) in partial least squares discriminant analysis, and oxytetracycline and rimocidin were identified as S. rimosus-specific metabolites. S. rimosus also showed high antibacterial activity against Xanthomonas oryzae pv. oryzae, the pathogen responsible for rice bacterial blight. This study demonstrated that metabolite-based chemotaxonomic classification is an effective tool for distinguishing Streptomyces spp. and for determining their species-specific metabolites.

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Lee, M. Y., Kim, H. Y., Lee, S., Kim, J. G., Suh, J. W., & Lee, C. H. (2015). Metabolomics-based chemotaxonomic classification of Streptomyces spp. and its correlation with antibacterial activity. Journal of Microbiology and Biotechnology, 25(8), 1265–1274. https://doi.org/10.4014/jmb.1503.03005

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