Multi-omics Study of Planobispora rosea, Producer of the Thiopeptide Antibiotic GE2270A.

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2021-06-22

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Del Carratore, Francesco
Iorio, Marianna
Pérez-Bonilla, Mercedes
Schmidt, Kamila
Pérez-Redondo, Rosario
Sosio, Margherita
Macdonald, Sandy J
Gyulev, Ivan S
Tsigkinopoulou, Areti
Thomas, Gavin H

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Abstract

Planobispora rosea is the natural producer of the potent thiopeptide antibiotic GE2270A. Here, we present the results of a metabolomics and transcriptomics analysis of P. rosea during production of GE2270A. The data generated provides useful insights into the biology of this genetically intractable bacterium. We characterize the details of the shutdown of protein biosynthesis and the respiratory chain associated with the end of the exponential growth phase. We also provide the first description of the phosphate regulon in P. rosea. Based on the transcriptomics data, we show that both phosphate and iron are limiting P. rosea growth in our experimental conditions. Additionally, we identified and validated a new biosynthetic gene cluster associated with the production of the siderophores benarthin and dibenarthin in P. rosea. Together, the metabolomics and transcriptomics data are used to inform and refine the very first genome-scale metabolic model for P. rosea, which will be a valuable framework for the interpretation of future studies of the biology of this interesting but poorly characterized species. IMPORTANCE Planobispora rosea is a genetically intractable bacterium used for the production of GE2270A on an industrial scale. GE2270A is a potent thiopeptide antibiotic currently used as a precursor for the synthesis of two compounds under clinical studies for the treatment of Clostridium difficile infection and acne. Here, we present the very first systematic multi-omics investigation of this important bacterium, which provides a much-needed detailed picture of the dynamics of metabolism of P. rosea while producing GE2270A.

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GE2270A, genome-scale metabolic modelling, metabolomics, secondary metabolism, thiopeptide, transcriptomics

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