Physiological responses of Saccharopolyspora erythraea towards perturbation of intracellular ATP
Ontology highlight
ABSTRACT:
ORGANISM(S): Saccharopolyspora erythraea
PROVIDER: GSE134767 | GEO | 2020/02/26
REPOSITORIES: GEO
Similar Datasets
Project description:Erythromycin is a medically important antibiotic, biosynthesized by the actinomycete Saccharopolyspora erythraea. We used transcriptomic approach to compare whole genome expression in erythromycin high-producing strain, compared to the wild type S. erythraea strain in four stages of fermentation.
2016-06-22 | GSE65007 | GEO
Project description:In this study we have used the rifampicin selection as a tool to genetically improve the erythromycin producer Saccharopolyspora erythraea. Two rifampicin-resistant (rif) mutants, rif1 and rif6, have been characterized in more detail. With respect to the parental strain NRRL2338, rif1 (harboring the missense S444F) exhibited higher respiratory performance and final erythromycin yields; in contrast, rif6 (harboring the missense Q426R) was slow-growing, developmental-defective and severely impaired in erythromycin production. The results of genome-wide analysis of expression profiles using DNA micro-arrays demonstrated that these mutations deeply changed the transcriptional profile of S. erythraea with marked regional distribution. Keywords: mutants versus wild type comparison in a time course experiment
2009-04-12 | GSE12017 | GEO
Project description:In this study we have used the rifampicin selection as a tool to genetically improve the erythromycin producer Saccharopolyspora erythraea. Two rifampicin-resistant (rif) mutants, rif1 and rif6, have been characterized in more detail. With respect to the parental strain NRRL2338, rif1 (harboring the missense S444F) exhibited higher respiratory performance and final erythromycin yields; in contrast, rif6 (harboring the missense Q426R) was slow-growing, developmental-defective and severely impaired in erythromycin production. The results of genome-wide analysis of expression profiles using DNA micro-arrays demonstrated that these mutations deeply changed the transcriptional profile of S. erythraea with marked regional distribution. Keywords: mutants versus wild type comparison in a time course experiment Total of 12 Samples
2009-04-12 | E-GEOD-12017 | biostudies-arrayexpress
Project description:Erythromycin is a medically important antibiotic, biosynthesized by the actinomycete Saccharopolyspora erythraea. We used transcriptomic approach to compare whole genome expression in erythromycin high-producing strain, compared to the wild type S. erythraea strain in four stages of fermentation. 2 strains (3 individual fermentations each), 4 time points --> 24 samples (2 exluded from anaysis, 22 remaining); one color design
2016-06-22 | E-GEOD-65007 | biostudies-arrayexpress
Project description:Abstract: Transcript levels in production cultures of wildtype and classically improved strains of the actinomycete bacteria Saccharopolyspora erythraea and Streptomyces fradiae were monitored using microarrays of the sequenced actinomycete S. coelicolor. Sac. erythraea and S. fradiae synthesize the polyketide antibiotics erythromycin and tylosin, respectively, and the classically improved strains contain unknown overproduction mutations. The Sac. erythraea overproducer was found to express the entire 56-kb erythromycin gene cluster several days longer than the wildtype strain. In contrast, the S. fradiae wildtype and overproducer strains expressed the 85-kb tylosin biosynthetic gene cluster similarly, while they expressed several tens of other S. fradiae genes and S. coelicolor homologs differently, including the acyl-CoA dehydrogenase gene aco and the S. coelicolor isobutyryl-CoA mutase homolog icmA. These observations indicated that overproduction mechanisms in classically improved strains can affect both the timing and rate of antibiotic synthesis, and alter the regulation of antibiotic biosynthetic enzymes and enzymes involved in precursor metabolism. This SuperSeries is composed of the SubSeries listed below.
2006-03-08 | GSE4395 | GEO
Project description:Abstract: Transcript levels in production cultures of wildtype and classically improved strains of the actinomycete bacteria Saccharopolyspora erythraea and Streptomyces fradiae were monitored using microarrays of the sequenced actinomycete S. coelicolor. Sac. erythraea and S. fradiae synthesize the polyketide antibiotics erythromycin and tylosin, respectively, and the classically improved strains contain unknown overproduction mutations. The Sac. erythraea overproducer was found to express the entire 56-kb erythromycin gene cluster several days longer than the wildtype strain. In contrast, the S. fradiae wildtype and overproducer strains expressed the 85-kb tylosin biosynthetic gene cluster similarly, while they expressed several tens of other S. fradiae genes and S. coelicolor homologs differently, including the acyl-CoA dehydrogenase gene aco and the S. coelicolor isobutyryl-CoA mutase homolog icmA. These observations indicated that overproduction mechanisms in classically improved strains can affect both the timing and rate of antibiotic synthesis, and alter the regulation of antibiotic biosynthetic enzymes and enzymes involved in precursor metabolism. This SuperSeries is composed of the SubSeries listed below. Refer to individual Series
2006-03-08 | E-GEOD-4395 | biostudies-arrayexpress
Project description:Knowledge about effects of cofactor perturbation on cellular metabolism is scarce with respect to Saccharopolyspora erythraea. The water-forming NADH oxidase (NOX) from Streptococcus pneumonia was expressed in S.erythraea E3, an important industrial strain for erythromycin production, at three different levels to investigate effects of intracellular redox status on secondary metabolism. NOX expression reduced the intracellular [NADH]/[NAD+] ratios significantly, although with a strong constitutive promoter NOX function was limited due to the shortage of oxygen. We demonstrated the negative correlation between [NADH]/[NAD+] ratios and biosynthesis of erythromycin in S.erythraea, but a positive correlation between the redox ratios and pigment production as well. We furthermore completed next-generation RNA sequencing of E3 and two NOX-expression strains. The transcription results showed that transfer processes of carbohydrates, DNA and chemical groups were altered resulting in metabolic shifts to supply more NADH for NOX fully functioning. Additionally, redox status affected transcription of several genes by allosteric effects on their transcription initiation. Specifically, transcriptional analysis along with enzymatic assay suggested that redox status influenced biosynthesis of erythromycin indirectly by allosteric effects on biosynthesis of the secondary messenger, c-di-GMP. The present work provides a basis for future cofactor manipulation in S.erythraea for further improvement of erythromycin production.
2020-08-04 | GSE144067 | GEO
Project description:Omics approaches have succeeded in understanding the boosted productivity of natural products by industrial high-producing microorganisms. Here, with the updated genome sequence and transcriptomic profiles derived from next-generation high throughput sequencing, we exploited comparative omics analysis to further enhance the biosynthesis of erythromycin in an industrial overproducer, Saccharopolyspora erythraea HL3168 E3. By comparing the genome of E3 with the wild type NRRL23338, we identified large deletions of 30 kilobases in total located inside coding sequences and 255 single nucleotide polymorphisms over the whole genome of E3. A large amount of genomic variation was observed in genes responsible for pathways which supply precursors, cofactors and signals for the biosynthesis of erythromycin. Transcriptional analysis revealed 2-oxoglutarate and L-glutamine/L-glutamate as reporter metabolites to distinguish the two strains. Around the node of 2-oxoglutarate, also genomic mutations were observed. Furthermore, the transcriptomic data suggested that genes involved in the biosynthesis of erythromycin were significantly up-regulated constantly, whereas some genes in the biosynthesis clusters of other secondary metabolites contained nonsense mutations and were expressed at extremely low levels. Based on the omics analysis, readily available strategies were proposed to engineer E3 by simultaneously overexpressing sucB (coding for 2-oxoglutarate dehydrogenase E2 component) and sucA (coding for 2-oxoglutarate dehydrogenase E1 component), which increased the erythromycin titer by 45% compared to E3 in batch culture. This work provides more promising molecular targets to engineer for enhancement of erythromycin production.
2022-05-21 | GSE150974 | GEO
Project description:This a model from the article:
Glucose sensing in the pancreatic beta cell: a computational systems analysis.
Fridlyand LE, Philipson LH.Theor Biol Med Model.2010 May 24;7:15.
20497556,
Abstract:
BACKGROUND:
Pancreatic beta-cells respond to rising blood glucose by increasing oxidative metabolism, leading to an increased ATP/ADP ratio in the cytoplasm. This leads to a closure of KATP channels, depolarization of the plasma membrane, influx of calcium and the eventual secretion of insulin. Such mechanism suggests that beta-cell metabolism should have a functional regulation specific to secretion, as opposed to coupling to contraction. The goal of this work is to uncover contributions of the cytoplasmic and mitochondrial processes in this secretory coupling mechanism using mathematical modeling in a systems biology approach.
METHODS:
We describe a mathematical model of beta-cell sensitivity to glucose. The cytoplasmic part of the model includes equations describing glucokinase, glycolysis, pyruvate reduction, NADH and ATP production and consumption. The mitochondrial part begins with production of NADH, which is regulated by pyruvate dehydrogenase. NADH is used in the electron transport chain to establish a proton motive force, driving the F1F0 ATPase. Redox shuttles and mitochondrial Ca2+ handling were also modeled.
RESULTS:
The model correctly predicts changes in the ATP/ADP ratio, Ca2+ and other metabolic parameters in response to changes in substrate delivery at steady-state and during cytoplasmic Ca2+ oscillations. Our analysis of the model simulations suggests that the mitochondrial membrane potential should be relatively lower in beta cells compared with other cell types to permit precise mitochondrial regulation of the cytoplasmic ATP/ADP ratio. This key difference may follow from a relative reduction in respiratory activity. The model demonstrates how activity of lactate dehydrogenase, uncoupling proteins and the redox shuttles can regulate beta-cell function in concert; that independent oscillations of cytoplasmic Ca2+ can lead to slow coupled metabolic oscillations; and that the relatively low production rate of reactive oxygen species in beta-cells under physiological conditions is a consequence of the relatively decreased mitochondrial membrane potential.
CONCLUSION:
This comprehensive model predicts a special role for mitochondrial control mechanisms in insulin secretion and ROS generation in the beta cell. The model can be used for testing and generating control hypotheses and will help to provide a more complete understanding of beta-cell glucose-sensing central to the physiology and pathology of pancreatic beta-cells.
This model was taken from the Vcell MathModel directory and was converted to SBML
This model originates from BioModels Database: A Database of Annotated Published Models (http://www.ebi.ac.uk/biomodels/). It is copyright (c) 2005-2011 The BioModels.net Team.
For more information see the terms of use.
To cite BioModels Database, please use: Li C, Donizelli M, Rodriguez N, Dharuri H, Endler L, Chelliah V, Li L, He E, Henry A, Stefan MI, Snoep JL, Hucka M, Le Novère N, Laibe C (2010) BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models. BMC Syst Biol., 4:92.
2011-08-09 | BIOMD0000000348 | BioModels
Project description:This a model from the article:
Glucose sensing in the pancreatic beta cell: a computational systems analysis.
Fridlyand LE, Philipson LH.Theor Biol Med Model.2010 May 24;7:15.
20497556,
Abstract:
BACKGROUND:
Pancreatic beta-cells respond to rising blood glucose by increasing oxidative metabolism, leading to an increased ATP/ADP ratio in the cytoplasm. This leads to a closure of KATP channels, depolarization of the plasma membrane, influx of calcium and the eventual secretion of insulin. Such mechanism suggests that beta-cell metabolism should have a functional regulation specific to secretion, as opposed to coupling to contraction. The goal of this work is to uncover contributions of the cytoplasmic and mitochondrial processes in this secretory coupling mechanism using mathematical modeling in a systems biology approach.
METHODS:
We describe a mathematical model of beta-cell sensitivity to glucose. The cytoplasmic part of the model includes equations describing glucokinase, glycolysis, pyruvate reduction, NADH and ATP production and consumption. The mitochondrial part begins with production of NADH, which is regulated by pyruvate dehydrogenase. NADH is used in the electron transport chain to establish a proton motive force, driving the F1F0 ATPase. Redox shuttles and mitochondrial Ca2+ handling were also modeled.
RESULTS:
The model correctly predicts changes in the ATP/ADP ratio, Ca2+ and other metabolic parameters in response to changes in substrate delivery at steady-state and during cytoplasmic Ca2+ oscillations. Our analysis of the model simulations suggests that the mitochondrial membrane potential should be relatively lower in beta cells compared with other cell types to permit precise mitochondrial regulation of the cytoplasmic ATP/ADP ratio. This key difference may follow from a relative reduction in respiratory activity. The model demonstrates how activity of lactate dehydrogenase, uncoupling proteins and the redox shuttles can regulate beta-cell function in concert; that independent oscillations of cytoplasmic Ca2+ can lead to slow coupled metabolic oscillations; and that the relatively low production rate of reactive oxygen species in beta-cells under physiological conditions is a consequence of the relatively decreased mitochondrial membrane potential.
CONCLUSION:
This comprehensive model predicts a special role for mitochondrial control mechanisms in insulin secretion and ROS generation in the beta cell. The model can be used for testing and generating control hypotheses and will help to provide a more complete understanding of beta-cell glucose-sensing central to the physiology and pathology of pancreatic beta-cells.
This model was taken from the Vcell MathModel directory and was converted to SBML
This model originates from BioModels Database: A Database of Annotated Published Models (http://www.ebi.ac.uk/biomodels/). It is copyright (c) 2005-2011 The BioModels.net Team.
For more information see the terms of use.
To cite BioModels Database, please use: Li C, Donizelli M, Rodriguez N, Dharuri H, Endler L, Chelliah V, Li L, He E, Henry A, Stefan MI, Snoep JL, Hucka M, Le Novère N, Laibe C (2010) BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models. BMC Syst Biol., 4:92.
2011-08-09 | BIOMD0000000349 | BioModels