2021
DOI: 10.1002/bit.27958
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A comparative study at bioprocess and metabolite levels of superhost strain Streptomyces coelicolor M1152 and its derivative M1581 heterologously expressing chloramphenicol biosynthetic gene cluster

Abstract: Microbial superhost strains should provide an ideal platform for the efficient homologous or heterologous phenotypic expression of biosynthetic gene clusters (BGCs) of new and novel bioactive molecules. Our aim in the current study was to perform a comparative study at the bioprocess and metabolite levels of the previously designed superhost strain Streptomyces coelicolor M1152 and its derivative strain S. coelicolor M1581 heterologously expressing chloramphenicol BGC. Parent strain M1152 was characterized by … Show more

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Cited by 3 publications
(7 citation statements)
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“…Its wild strain and derived strains have contributed to various biotechnological fields. It is notable that these strains are used as the hosts for heterogeneous secondary metabolite production [40][41][42][43][44]. In contrast to these applications, the classification of S. coelicolor A3(2) has been paid less attention.…”
Section: Discussionmentioning
confidence: 99%
“…Its wild strain and derived strains have contributed to various biotechnological fields. It is notable that these strains are used as the hosts for heterogeneous secondary metabolite production [40][41][42][43][44]. In contrast to these applications, the classification of S. coelicolor A3(2) has been paid less attention.…”
Section: Discussionmentioning
confidence: 99%
“…Two strains of Streptomyces coelicolor were used in this study: S. coelicolor M145 and S. coelicolor M1146. The protocols for spore preparation, pre-germination, media preparation, and setting up the experiments were adopted from earlier reports (Wentzel et al 2012a ; Kumar and Bruheim 2021b ). The cultivations were conducted in 3 L bioreactors (Eppendorf Bioflo 320) with an initial working volume of 1.8 L and the inoculum was pre-germinated spores having ~ 1 × 10 9 CFU L −1 .…”
Section: Methodsmentioning
confidence: 99%
“…The central carbon metabolites (CCMs) carry most of the metabolic flux and provide precursors, reductive power, and energy used for biomass generation and secondary metabolite synthesis and their analysis can give real-time status of phenotype (Coze et al 2013 ; Kumar et al 2021 ; Rost et al 2020a ; Kumar and Bruheim 2021a , b ). Therefore, information about the intracellular metabolite concentrations provided by metabolome analysis will further enhance our understanding of the genotype–phenotype interactions both by direct single interpretation of metabolomics data but also when integrated with multi omics-data such as genomics (Xu et al 2017 ; Nguyen et al 2012 ), transcriptomics (Kim and Kim 2016 ; Yague et al 2014 ; Nieselt et al 2010 ) and proteomics (Thomas et al 2012 ).…”
Section: Introductionmentioning
confidence: 99%
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