Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Programmable polyketide biosynthesis platform for production of aromatic compounds in yeast

ABSTRACT: To accelerate the shift to bio-based production and overcome complicated functional implementation of natural and artificial biosynthetic pathways to industry relevant organisms, development of new, versatile, bio-based production platforms are required. Here we present a novel yeast platform for biosynthesis of bacterial aromatic polyketides. The platform is based on a synthetic polyketide synthase system enabling a first demonstration of aromatic polyketide biosynthesis in a eukaryotic host.

ORGANISM(S): Saccharomyces Cerevisiae

SUBMITTER: Chris Petzold

PROVIDER: PXD013388 | panorama | Tue Feb 11 00:00:00 GMT 2020

REPOSITORIES: PanoramaPublic

ACCESS DATA

Json Xml

Publications

Programmable polyketide biosynthesis platform for production of aromatic compounds in yeast.

Jakočiūnas Tadas T Klitgaard Andreas K AK Kontou Eftychia Eva EE Nielsen Julie Bang JB Thomsen Emil E Romero-Suarez David D Blin Kai K Petzold Christopher J CJ Gin Jennifer W JW Tong Yaojun Y Gotfredsen Charlotte Held CH Charusanti Pep P Frandsen Rasmus J N RJN Weber Tilmann T Lee Sang Yup SY Jensen Michael K MK Keasling Jay D JD

Synthetic and systems biotechnology 20200123 1

To accelerate the shift to bio-based production and overcome complicated functional implementation of natural and artificial biosynthetic pathways to industry relevant organisms, development of new, versatile, bio-based production platforms is required. Here we present a novel yeast-based platform for biosynthesis of bacterial aromatic polyketides. The platform is based on a synthetic polyketide synthase system enabling a first demonstration of bacterial aromatic polyketide biosynthesis in a euk ...[more]

PMID: 32021916

Similar Datasets

Development of Corynebacterium glutamicum as a monoterpene production platform

Project description:Monoterpenes are commonly known for their role in the flavors and fragrances industry and are also gaining attention for other uses like insect repellant and as potential renewable fuels for aviation. Corynebacterium glutamicum, a Generally Recognized as Safe microbe, has been a choice organism in industry for the annual million ton-scale bioproduction of amino acids for more than 50 years; however, efforts to produce monoterpenes in C. glutamicum have remained relatively limited. In this study, we report a further expansion of the C. glutamicum biosynthetic repertoire through the development and optimization of a mevalonate-based monoterpene platform. In the course of our initial plasmid design iterations, we demonstrated an increased flux through the mevalonate-based bypass pathway to increase isoprenol production to the highest reported titers to date at nearly 1.5 g/L. These designs also evaluated the effects of backbone, promoter, and GPP synthase homolog source on product titers. Monoterpene production was further improved by disrupting competing pathways for isoprenoid precursor supply and by implementing a biphasic production system to prevent volatilization. With this platform, we achieved 486.3 mg/L (± 54.6 mg/L) of geranoids, 557.3 mg/L of 1,8-cineole (± 12.3 mg/L), and 209.7 mg/L of linalool (±23.9 mg/L). Furthermore, we determined that C. glutamicum oxidizes geraniol through an aldehyde intermediate before asymmetrically reducing geraniol to citronellol.

2024-02-28 | PXD044193 | Pride

Comparison of the metabolic response to over-production of p-coumaric acid in two yeast strains

Project description:We aimed to study how production of p-coumaric acid, a precursor of multiple secondary aromatic metabolites, influences the cellular metabolism of Saccharomyces cerevisiae. We evaluated the growth and p-coumaric acid production in batch and chemostat cultivations and analyzed the transcriptome and intracellular metabolome during steady state in low- and high-producers of p-coumaric acid in two strain backgrounds, S288c or CEN.PK. For analysis of the differential gene expression, we did pairwise comparisons between the optimized and non-optimized strains for p-CA production: CEN.PK strains (ST4288 and ST4408) and the S288c strains (ST4353 and ST4397). Transcriptome analysis showed that the CEN.PK strain was less affected by engineering towards higher p-CA production than the S288c strain, as the number of significantly up-/down-regulated genes was correspondingly 652 and 1927 amongst others, strain S288c had downregulations in gene sets involved in amino acid and protein biosynthesis. This suggests that CEN.PK may be a better platform strain for production of aromatic compounds than the S288c strain.

2017-11-21 | E-MTAB-6208 | biostudies-arrayexpress

Functional Genomic Analysis of Commercial Baker’s Yeast during Initial Stages of Model Dough-Fermentation

Project description:Gene expression profiles of baker’s yeast during initial dough-fermentation were investigated using liquid fermentation media to obtain insights at the molecular level into rapid adaptation mechanisms of baker’s yeast. Results showed that onset of fermentation caused drastic changes in gene expression profiles within 15 min. Genes involved in the tricarboxylic acid (TCA) cycle were down-regulated and genes involved in glycolysis were up-regulated, indicating a metabolic shift from respiration to fermentation. Genes involved in ethanol production (PDC genes and ADH1), in glycerol synthesis (GPD1 and HOR2), and in low-affinity hexose transporters (HXT1 and HXT3) were up-regulated at the beginning of model dough-fermentation. Among genes up-regulated at 15 min, several genes classified as transcription were down-regulated within 30 min. These down-regulated genes are involved in messenger RNA splicing and ribosomal protein biogenesis, in zinc finger transcription factor proteins, and in transcriptional regulator (SRB8, MIG1). In contrast, genes involved in amino acid metabolism and in vitamin metabolism, such as arginine biosynthesis, riboflavin biosynthesis, and thiamin biosynthesis, were subsequently up-regulated after 30 min. Interestingly, the genes involved in the unfolded protein response (UPR) pathway were also subsequently up-regulated. Our study presents the first overall description of the transcriptional response of baker’s yeast during dough-fermentation, and will thus help clarify genomic responses to various stresses during commercial fermentation processes. Keywords: fermentation

2006-02-24 | GSE3043 | GEO

Adapting the 10x Genomics Platform for single-cell RNA-seq in yeast reveals the importance of stochastic gene expression during the lag phase

Project description:Isogenic population of yeast cells was grown in a maltose-glucose-maltose media shift schema. Time point samples were taken throughout the experiment, and were analyzed for single-cell gene expression using 10x Genomics platform.

2020-02-06 | GSE144820 | GEO

Expression data from Saccharomyces cerevisiae F12 cells in the presence of insoluble solids at high concentration

Project description:The implementation of a cost-effective lignocellulosic ethanol production requires developing efficient high gravity processes (i.e. working at high substrate concentrations). During the fermentation processes, the presence of high concentration of insoluble solids leads to lower glucose consumption rates, reduced ethanol volumetric productivities, and the accumulation of intracellular reactive oxygen species (ROS). Major repressed biological processes include cell cycle progression, trehalose and glycogen biosynthesis, DNA repair mechanisms, and certain genes involved in the general cell stress response. On the other hand, genes related to the glutathione, thioredoxin and methionine scavenging systems are induced.

2019-08-23 | GSE115460 | GEO

A high-fidelity CRISPR-Cas13 system improves abnormalities associated with C9ORF72-linked ALS/FTD

Project description:An abnormal expansion of a G4C2 hexanucleotide repeat in the C9ORF72 gene is the most common genetic cause of amyotrophic lateral sclerosis (ALS) and frontotemporal dementia (FTD), two debilitating neurodegenerative disorders driven in part by gain-of-function mechanisms involving transcribed forms of the repeat expansion. By utilizing a Cas13 variant with reduced collateral effects, we developed a high-fidelity RNA-targeting CRISPR-based system for C9ORF72-linked ALS/FTD. When delivered to the brain of a transgenic rodent model, this Cas13-based platform curbed the expression of the G4C2 repeat-containing RNA without affecting normal C9ORF72 levels, which in turn decreased the formation of RNA foci, reduced the production of a dipeptide repeat protein, and reversed transcriptional deficits. This high-fidelity system possessed improved transcriptome-wide specificity compared to its native form and mediated targeting in motor neuron-like cells derived from a patient with ALS. These results lay the foundation for the implementation of RNA-targeting CRISPR technologies for C9ORF72-linked ALS/FTD.

2024-11-28 | GSE251822 | GEO

A high-fidelity CRISPR-Cas13 system improves abnormalities associated with C9ORF72-linked ALS/FTD

2024-11-28 | GSE250633 | GEO

Iron uptake experiments in yeast

Project description:The budding yeast S. cerevisiae responds to depletion of iron in the environment by activating Aft1p, the major iron-dependent transcription factor, and by transcribing systems involved in the uptake of iron. Here we have studied the transcriptional response to iron deprivation, and have identified new Aft1p target genes. We find that other metabolic pathways are regulated by iron: biotin uptake and biosynthesis, nitrogen assimilation, and purine biosynthesis. Two enzymes active in these pathways, biotin synthase and glutamate synthase, require an iron-sulfur cluster for activity. Iron deprivation activates transcription of the biotin importer and simultaneously represses transcription of the entire biotin biosynthetic pathway. Multiple genes involved in nitrogen assimilation and amino acid metabolism are induced by iron deprivation, while glutamate synthase, a key enzyme in nitrogen assimilation, is repressed. A CGG palindrome within the promoter of glutamate synthase confers iron-regulated expression, suggesting control by a transcription factor of the binuclear zinc cluster family. We provide evidence that yeast subjected to iron deprivation undergo a transcriptional remodeling, resulting in a shift from iron-dependent to parallel, but iron-independent, metabolic pathways. A dose response design type examines the relationship between the size of the administered dose and the extent of the response of the organism(s). Keywords: dose_response_design

2006-02-08 | GSE4196 | GEO

Iron uptake experiments in yeast

2006-02-07 | E-GEOD-4196 | biostudies-arrayexpress

Mapping translocation breakpoints by next-generation sequencing

Project description:Balanced chromosome rearrangements (BCRs) can cause genetic diseases by disrupting or inactivating specific genes, and the characterisation of breakpoints in disease-associated BCRs has been instrumental in the molecular elucidation of a wide variety of genetic disorders. However, mapping chromosome breakpoints using traditional methods, such as in situ hybridization with fluorescent dye-labeled bacterial artificial chromosome clones (BAC-FISH), is rather laborious and time consuming. In addition, the resolution of BAC-FISH is often insufficient to unequivocally identify the disrupted gene. To overcome these limitations, we have performed shotgun sequencing of flow-sorted derivative chromosomes using ânext generationâ (Solexa/Illumina) multiplex sequencing-by-synthesis technology. As shown here for three different disease-associated BCRs, the coverage attained by this platform is sufficient to bridge the breakpoints by PCR amplification, and this procedure allows to determine their exact nucleotide positions within few weeks. Its implementation will greatly facilitate large-scale breakpoint mapping and gene finding in patients with disease-associated balanced translocations. Array CGH was performed in three carriers of balanced translocations to exclude DNA copy number changes.

2010-05-22 | E-GEOD-10115 | biostudies-arrayexpress

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data