Ontology highlight
ABSTRACT:
PROVIDER: PRJEB39663 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| ERR4593530_1.fastq.gz | Fastqsanger.gz | |||
| ERR4593530_2.fastq.gz | Fastqsanger.gz | |||
| ERR4593550_1.fastq.gz | Fastqsanger.gz | |||
| ERR4593550_2.fastq.gz | Fastqsanger.gz | |||
| ERR4593526_1.fastq.gz | Fastqsanger.gz |
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Project description:Exogenous isopentenol was added to a culture of E. coli and the RNA expression response was measured using Nimblegen arrays. Genes highly upregulated were then subsequently overexpressed to improve the tolerance to isopentenol toxicity. In addition a subset of genes that improved the tolerance were also overexpressed in a producing strain, leading to improved production over the empty vector control. This work is described in Foo et al, Improving microbial bio-gasoline production in E. coli using tolerance engineering (in preparation) Six independent biological replicates were grown in M9 medium. 0.2% v/v isopentenol was added to 3 cultures while 3 cultures received no treatment, and 2.5 hr later total RNA was extracted. One sample from each culture was hybridized.
2013-12-10 | E-GEOD-53138 | biostudies-arrayexpress
Project description:Mining of fungal genomes uncovered their great potential for the production of novel secondary metabolites (SMs). However most of them stay silent under standard laboratory cultivation conditions. Co-cultivation of fungi with organism that occur in their natural habitat has shown to be trigger for the activation of such silent SM gene clusters. Recently, we showed that the cultivation of Aspergillus nidulans with the bacterium Streptomyces rapamycinicus leads to the activation of the orsellinic acid gene cluster. Hence we decided to study this interaction further to gain insight into the regulation of SM gene clusters and more specifically to study the chromatin remodelling network actuve upon co-cultivation of the two organisms. This study gives novel insight into the regulation of the orsellinic acid gene cluster and the interaction of the two organisms. To the best of our knowledge this is the first report of mapping the chromatin landscape of microbial interactions, making this study a role model for the analysis of similar systems.
2018-10-12 | E-MTAB-5819 | biostudies-arrayexpress
Project description:Gas fermentation of CO₂ and H₂ is an attractive means to sustainably produce fuels and chemicals. Clostridium autoethanogenum is a model organism for industrial CO-to-ethanol and presents an opportunity for CO₂-to-ethanol processes. As we have previously characterized its CO₂/H₂ chemostat growth, here we use adaptive laboratory evolution (ALE) with the aim of improving growth with CO₂/H₂. Seven ALE lineages were generated, all with improved specific growth rates. Developed with 2% CO supplementation of CO₂/H₂, Evolved lineage D has the highest ethanol/acetate of ALE lineages when fermenting CO₂/H₂. Chemostat comparison against the parental strain shows no change in acetate or ethanol production, while Evolved D could achieve a higher maximum dilution rate. Complete multi-omics analyses at steady-state revealed that although Evolved D has widespread proteome changes, intracellular metabolites prevent phenotype shifts. Yet, we observe numerous insights to CO₂/H₂ metabolism via these multi-omics results and link these to mutations, suggesting novel targets for metabolic engineering.
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Project description:Gas fermentation of CO₂ and H₂ is an attractive means to sustainably produce fuels and chemicals. Clostridium autoethanogenum is a model organism for industrial CO-to-ethanol and presents an opportunity for CO₂-to-ethanol processes. As we have previously characterized its CO₂/H₂ chemostat growth, here we use adaptive laboratory evolution (ALE) with the aim of improving growth with CO₂/H₂. Seven ALE lineages were generated, all with improved specific growth rates. Developed with 2% CO supplementation of CO₂/H₂, Evolved lineage D has the highest ethanol/acetate of ALE lineages when fermenting CO₂/H₂. Chemostat comparison against the parental strain shows no change in acetate or ethanol production, while Evolved D could achieve a higher maximum dilution rate. Complete multi-omics analyses at steady-state revealed that although Evolved D has widespread proteome changes, intracellular metabolites prevent phenotype shifts. Yet, we observe numerous insights to CO₂/H₂ metabolism via these multi-omics results and link these to mutations, suggesting novel targets for metabolic engineering.
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Project description:Chassis strain suitable for producing multiple compounds is a central concept in synthetic biology. Design of a chassis using computational, first-principle, models is particularly attractive due to the predictability and control it offers, including against phenotype reversal due to adaptive mutations. Yet, the theory of model-based chassis design has not been put to experimental test. Here, we report two Saccharomyces cerevisiae chassis strains for dicarboxylic acid production based on genome-scale metabolic modelling. The chassis strain, harboring gene knockouts in serine biosynthesis and in pentose-phosphate pathway, is geared for higher flux towards three target products - succinate, fumarate and malate - but does not appreciably secrete any. Introducing modular product-specific mutations resulted in improved secretion of the corresponding acid as predicted by the model. Adaptive laboratory evolution of the chassis-derived producer cells further improved production for succinate and fumarate attesting to the evolutionary robustness of the underlying growth-product coupling. In the case of malate, which exhibited decreased production during evolution, the multi-omics analysis revealed flux bypass at peroxisomal malate dehydrogenase not accounted in the model. Transcriptomics, proteomics and metabolomics analysis showed overall concordance with the flux re-routing predicted by the model. Together, our results provide experimental evidence for model-based design of microbial chassis and have implications for computer-aided design of microbial cell factories.
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Project description:The secretion of metabolites by plant roots is a key determinant of microbial growth and colonisation. We have used Pisum sativum and its natural symbiont Rhizobium leguminosarum (it can form N2 fixing nodules on pea roots) to study the natural metabolites secreted by roots. To do this root secretion was harvested from pea plants grown under sterile conditions. This root exudate was then concentrated and used as a sole carbon and nitrogen source for growth of the bacteria in the laboratory. These bacteria were harvested in mid-exponential growth and RNA extracted for microarray analysis. As control cultures the bacteria were grown on 30 mM pyruvate as a carbon source and 10 mM ammonium chloride as a nitrogen source and RNA extracted. Two colour microarrays were performed using root exudate cultures versus pyruvate ammonia grown cultures. This was done in biological triplicate.
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Project description:Gut microbiota are recognized to be important for anticancer therapy, yet the underlying mechanism is not clear. Herein, we demonstrate that gut microbial metabolite butyrate improves anticancer therapy efficacy by regulating intracellular calcium homeostasis. Butyrate metabolism is activated in hepatocellular carcinoma (HCC) patients. Butyrate supplementation or depletion of short-chain Acyl-CoA dehydrogenase (ACADS), a key enzyme for butyrate metabolism, significantly inhibit HCC proliferation and metastasis. Profiling analysis of genes upregulated by butyrate supplementation or ACADS knockdown reveal that calcium signaling pathway is activated, leading to dysregulation of intracellular calcium homeostasis and production of reactive oxygen species (ROS). Butyrate supplementation improves the therapy efficacy of a tyrosine kinase inhibitor sorafenib. Butyrate and sorafenib co-encapsulated monomethoxy (polyethylene glycol)-poly (D, L-lactide-co-glycolide)-poly(L-lysine)-glypican 3 (PEAL-GPC3) nanoparticles significantly reduce HCC progression. Our findings provide new insight into the mechanisms that the gut microbial metabolites inhibit HCC progression and suggest a translatable therapeutics approach to enhance the clinical targeted therapeutic efficacy.
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