PXD010381-2

PXD010381 is an original dataset announced via ProteomeXchange.

Title	Systems-based approaches enable the development of industrial yeast strains with improved phenotypesSystems-based approaches enable the development of industrial yeast strains with improved phenotypes
Description	Although metabolic engineering approaches have benefited the development of industrial strains enormously, they are often only partially successful, such that additional rounds of modification are generally needed to ensure microbial strains meet all the requirements of a particular process. Systems biology approaches can aid in yeast design providing an integrated view of yeast physiology and helping to identify targets for modification. Among other phenotypes, the generation of wine yeasts that are able to produce wines with reduced ethanol concentrations has been the focus of extensive research. However, while producing low-alcohol wines, these strains generally produce off-flavour metabolites as metabolic by-products. We therefore used transcriptomics, proteomics and metabolomics to investigate the physiological changes of such an engineered low-ethanol wine strain during wine fermentation to determine possible strategies for by-product remediation. Integration of ‘omics data led to the identification of several processes, including reactions related to the pyruvate node and redox homeostasis, as significantly different compared to a non-engineered parent strain, with acetaldehyde and 2,4,5-trimethyl 1,3-dioxolane identified as the main off-flavour metabolites. Gene remediation strategies were applied to decrease the formation of these metabolites, while maintaining the ‘low-alcohol’ phenotype.
HostingRepository	PRIDE
AnnounceDate	2018-12-04
AnnouncementXML	Submission_2018-12-04_03:53:34.xml
DigitalObjectIdentifier
ReviewLevel	Peer-reviewed dataset
DatasetOrigin	Original dataset
RepositorySupport	Unsupported dataset by repository
PrimarySubmitter	Simon Schmidt
SpeciesList	scientific name: Saccharomyces cerevisiae (Baker's yeast); NCBI TaxID: 4932;
ModificationList	iTRAQ8plex-116 reporter+balance reagent acylated residue
Instrument	TripleTOF 5600

Revision	Datetime	Status	ChangeLog Entry
0	2018-07-11 06:40:02	ID requested
1	2018-08-22 04:23:04	announced
⏵ 2	2018-12-04 03:53:35	announced	Updated project metadata.

Dataset with its publication pending

curator keyword: Biological

submitter keyword: wine

yeast

systems biology

low-alcohol

iTraq

Simon Anthony Schmidt
contact affiliation	The Australian Wine Research Insistute
contact email	simon.schmidt@awri.com.au
lab head
Simon Schmidt
contact affiliation	The Australian Wine Research Institute
contact email	simon.schmidt@awri.com.au
dataset submitter

Dataset FTP location NOTE: Most web browsers have now discontinued native support for FTP access within the browser window. But you can usually install another FTP app (we recommend FileZilla) and configure your browser to launch the external application when you click on this FTP link. Or otherwise, launch an app that supports FTP (like FileZilla) and use this address: ftp://ftp.pride.ebi.ac.uk/pride/data/archive/2018/08/PXD010381

PRIDE project URI

• PRIDE
  1. PXD010381
     1. Label: PRIDE project
     2. Name: Systems-based approaches enable the development of industrial yeast strains with improved phenotypesSystems-based approaches enable the development of industrial yeast strains with improved phenotypes