Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Saccharomyces cerevisiae CEN.PK113-7D breed:Evolution

ABSTRACT: Adaptive laboratory evolution and reverse engineering of low pH tolerance in Saccharomyces cerevisiae

PROVIDER: PRJNA546594 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Similar Datasets

Saccharomyces cerevisiae CEN.PK113-7D

Project description:Evolutionary and reverse engineering of single vitamin requirement in Saccharomyces cerevisiae CEN.PK113-7D

| PRJNA603441 | ENA

Relative quantification from chemostats cultures of Saccharomyces cerevisiae CEN.PK113-7D, Kluyveromyces marxianus CBS 6556 and Yarrowia lipolytica W29

Project description:Relative quantification of protein abundances of three yeast strains (Saccharomyces cerevisiae CEN.PK113-7D, Kluyveromyces marxianus CBS6556 and Yarrowia lipolytica W29) cultivate in chemostats under different conditions. The conditions for Saccharomyces cerevisiae CEN.PK113-7D are: - Standard condition – 30°C, pH 5.5 - High temperature - 36°C, pH 5.5 - Low pH - 30°C, pH 3.5 - Osmotic stress – 30°C, pH 5.5, 1M KCl The conditions for Kluyveromyces marxianus CBS6556 are: - Standard condition – 30°C, pH 5.5 - High temperature - 40°C, pH 5.5 - Low pH - 30°C, pH 3.5 - Osmotic stress – 30°C, pH 5.5, 0.6 M KCl The conditions for Yarrowia lipolytica W29 are: - Standard condition - 28°C, pH 5.5 - High temperature - 32°C, pH 5.5 - Low pH - 28°C, pH 3.5 This study is part of the OMICS data generation of CHASSY project (European Union’s Horizon 2020 grant agreement No 720824).

2019-11-11 | PXD011426 | Pride

Saccharomyces cerevisiae strain:CEN.PK113-7D

Project description:A new laboratory evolution approach to select for constitutive acetic-acid tolerance in Saccharomyces cerevisiae and identification of causal mutations

| PRJNA313456 | ENA

Approaching absolute quantification from chemostats cultures of Saccharomyces cerevisiae CEN.PK113-7D, Kluyveromyces marxianus CBS 6556 and Yarrowia lipolytica W29

Project description:Protein extracts of three yeast strains (Saccharomyces cerevisiae CEN.PK113-7D, Kluyveromyces marxianus CBS6556 and Yarrowia lipolytica W29) cultivated in chemostats under different conditions. Representative samples containing aliquots of all conditions for each yeast strain were spiked with UPS2 standard (Sigma) to estimate absolute values in fmol. The conditions for Saccharomyces cerevisiae CEN.PK113-7D are: - Standard condition : 30°C, pH 5.5 - High temperature: 36°C, pH 5.5 - Low pH: 30°C, pH 3.5 - Osmotic stress : 30°C, pH 5.5, 1M KCl The conditions for Kluyveromyces marxianus CBS6556 are: - Standard condition : 30°C, pH 5.5 - High temperature: 40°C, pH 5.5 - Low pH: 30°C, pH 3.5 - Osmotic stress: 30°C, pH 5.5, 0.6 M KCl The conditions for Yarrowia lipolytica W29 are: - Standard condition: 28°C, pH 5.5 - High temperature: 32°C, pH 5.5 - Low pH: 28°C, pH 3.5 This study is part of the OMICS data generation WP of CHASSY project (European Union’s Horizon 2020 grant agreement No 720824).

2022-02-15 | PXD012836 | Pride

Saccharomyces cerevisiae CEN.PK113-7D

Project description:Transcriptomic analysis of a NaCl-resistant Saccharomyces cerevisiae mutant obtained by evolutionary engineering

| PRJNA262653 | ENA

Designing of Lactococcus lactis platform for isobutanol production using multiple rounds of adaptive laboratory evolution

Project description:This work was primarily focused on removing the main bottleneck for isobutanol production which is the toxicity of isobutanol towards its host and the major reason for its low-level production. Recently, there have been many reports where people have tried various strategies including continuous in-situ product removal from the bioreactor which led to a significant increase in the final product titers. Clearly, it is the intrinsic tolerance levels of the host which decides the end product titers. Importantly, if the host microbe can originally tolerate higher concentrations of toxin (here isobutanol) then it is likely to have a better potential for further improvement of tolerance levels. In our work, we tried to enhance the isobutanol tolerance of wild type NZ9000 using continuous culture. We used the principle of adaptive laboratory evolution to enhance the natural tolerance ability (0.8% isobutanol) of the wild type strain. The strain was cultivated for more than 60 days (>250 generations), while increasing the selection pressure (here isobutanol) gradually in the feed. This finally led to the strain that showed exceptionally higher tolerance (4%) for isobutanol. Transcriptomic analysis also showed fluctuations in gene expression levels from a wide range of categories, precluding any attempt to reverse engineer this phenotype.

2020-07-08 | GSE107996 | GEO

Saccharomyces cerevisiae CEN.PK113-7D

Project description:Laboratory evolution of a biotin-requiring Saccharomyces cerevisiae strain for full biotin prototrophy and identification of causal mutations (Raw sequence reads)

| PRJNA383023 | ENA

Improvement of isopropanol tolerance of Escherichia coli using adaptive laboratory evolution and omics technologies

Project description:To understand the mechanism of isopropanol tolerance of Escherichia coli for improvement of isopropanol production, we performed genome re-sequencing and transcriptome analysis of isopropanol tolerant E. coli strains obtained from parallel adaptive laboratory evolution under IPA stress.

2017-06-21 | GSE89685 | GEO

Transcription profiling of yeast protrotophic laboratory strain CEN.PK113-7D grown under glutamine or ammonia limited conditions

Project description:The protrotophic laboratory strain CEN.PK113-7D (MAT a) was grown in laboratory fermentors with a working volume of 1 litre at dilution rate (D) of 0.20 per hour (in duplicate for each nitrogen (glutamine and ammonium) limited condition). After cultivation for few hundred generations in ammonium, samples from 2 continuous cultures were taken for array analysis. After cultivation for few hundred generations in glutamine, one evolved strain was picked and cultivated in 2 biological replicate chemostats until steady state was reached, and samples for array analysis were collected. All collected cell samples were cooled below 2 degree C within ten seconds by mixing 40% sample and 60% crushed ice.

2008-06-01 | E-MEXP-1498 | biostudies-arrayexpress

Increased Acid Resistance of the Archaeon, Metallosphaera sedula by Adaptive Laboratory Evolution

Project description:Extremely thermoacidophilic members of the Archaea such as the lithoautotroph, Metallosphaera sedula, are among the most acid resistant forms of life and are of great relevance in bioleaching. Here, adaptive laboratory evolution was used to enhance the acid resistance of this organism while genomics and transcriptomics were used in an effort to understand the molecular basis for this trait. Unlike the parental strain, the evolved derivative, M. sedula SARC-M1, grew well at pH of 0.90. Enargite (Cu3AsS4) bioleaching conducted at pH 1.20 demonstrated SARC-M1 leached 23.78% more copper relative to the parental strain. Genome re-sequencing identified two mutations in SARC-M1 including a nonsynonymous mutation in Msed_0408 (an amino acid permease) and a deletion in pseudogene Msed_1517. Transcriptomic studies by RNA-seq of wild type and evolved strains at various low pH values demonstrated there was enhanced expression of genes in M. sedula SARC-M1 encoding membrane complexes and enzymes that extrude protons or that catalyze proton-consuming reactions. In addition, M. sedula SARC-M1 exhibited reduced expression of genes encoding enzymes that catalyze proton-generating reactions. These unique genomic and transcriptomic features of M. sedula SARC-M1 support a model for increased acid resistance arising from enhanced control over cytoplasmic pH. 3 samples were analyzed: 1 control and 2 experimental samples

2016-05-14 | E-GEOD-81414 | biostudies-arrayexpress

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

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