Differential gene expression in Malaysian and Wine/European yeast isolates
Ontology highlight
ABSTRACT:
ORGANISM(S): Saccharomyces cerevisiae
SUBMITTER: Rachel Brem
PROVIDER: E-GEOD-51645 | biostudies-arrayexpress |
REPOSITORIES: biostudies-arrayexpress
Similar Datasets
Project description:Differential gene expression in Malaysian and Wine/European yeast isolates
| PRJNA224158 | ENA
Project description:Chromatin accessibility is a hallmark of active regulatory function in the genome and variation of chromatin accessibility across individuals has been shown to contribute to complex traits and disease susceptibility. However, the mechanisms responsible for chromatin variation among different individuals and how this variation contributes to phenotypic diversity remain poorly understood. We examined chromatin accessibility variation in liver tissue from seven strains of adult mice that have phenotypic diversity in response to a high-fat/high-sucrose diet. Remarkably, nearly 40% of the loci with the greatest degree of chromatin variability across the strains are associated with transposable elements (TEs), with evolutionarily younger TEs being particularly enriched for regions of chromatin variation. We found that evolutionary younger and older TEs have differential chromatin accessibility profiles and are enriched for binding sites of different transcription factors, indicating the role of TEs in the evolution of regulatory networks in the liver. We also demonstrate that TE polymorphisms and epigenetic regulation of TEs contribute to regulatory variation across different strains through providing binding sites for liver transcription factors. Intriguingly, variable chromatin loci that are associated with liver metabolism are primarily TE-associated. We demonstrate that TEs contribute to regulatory variation in liver and have downstream effects on metabolism. Our data reveal TEs as a novel and important contributor to regulatory and phenotypic variation in the liver and suggest that regulatory variation at TEs is a major contributor to phenotypic variation in populations. Examination of chromatin accessibility with FAIRE-seq in livers of male mice (A/J, AKR/J, BALB/cJ, C57BL/6J, C3H/HeJ, CBA/J, DBA/2J, BXH2/TyJ, and BXH19/TyJ) fed a high-fat, high-sucrose diet.
2016-07-14 | E-GEOD-75770 | biostudies-arrayexpress
Project description:We evolved Escherichia coli cells over 500 generations under five environments that include four abiotic stressors: osmotic, acidic, oxidative, n-butanol, and control The goal of the experiment: Bacterial populations have a remarkable capacity to cope with extreme environmental fluctuations in their natural environments. In certain cases, adaptation to one stressful environment provides a fitness advantage when cells are exposed to a second stressor, a phenomenon that has been coined as cross-stress protection. A tantalizing question in bacterial physiology is how the cross-stress behavior emerges during adaptation and what the genetic basis of acquired stress resistance is. RNA profiles were obtained for six E. coli strains evolved for 500 generations under abiotic stressors; two technical replicates for each strain where sequenced by Illumina GAII analyzer
2013-02-28 | E-GEOD-39926 | biostudies-arrayexpress
Project description:Comparative-genomic studies have reported widespread variation in levels of gene expression within and between species. In the vast majority of cases, the phenotypic and evolutionary relevance of regulatory change is unknown. We haveu sed a wild Malaysian population of S. cerevisiae as a testbed in the search to identify organismal correlates of regulatory variation. Malaysian yeast, when cultured in standard medium, activated regulatory programs that protect cells from the toxic effects of high iron.
2013-10-25 | GSE51645 | GEO
Project description:We measured genome-wide gene expression of embryonic stem cells derived from eight genetically diverse inbred mouse strains. We derived and cultured cells in LIF+2i media with feeders, and removed feeders prior to RNA collection. All lines were passage 6-8 when RNA was collected. We collected RNA from three biological replicate cell lines derived from each of the eight inbred mouse strains. For three strains (C57BL/6J, NOD, and PWD/PhJ), we obtained technical replicate RNA-Seq runs of each of the three biological replicate cell lines.
2020-08-13 | E-MTAB-7730 | biostudies-arrayexpress
Project 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.
2018-08-22 | PXD010381 | Pride
Project description:Escherichia coli spans a genetic continuum from enteric strains to several phylogenetically distinct, atypical lineages that are rare in humans, but more common in extra-intestinal environments. To investigate the link between gene regulation, phylogeny and diversification in this species, we analyzed global gene expression profiles of four strains representing distinct evolutionary lineages, including a well-studied laboratory strain, a typical commensal (enteric) strain and two environmental strains. RNA-Seq was employed to compare the whole transcriptomes of strains grown under batch, chemostat and starvation conditions. Highly differentially expressed genes showed a significantly lower nucleotide sequence identity compared with other genes, indicating that gene regulation and coding sequence conservation are directly connected. Overall, distances between the strains based on gene expression profiles were largely dependent on the culture condition and did not reflect phylogenetic relatedness. Expression differences of commonly shared genes (all four strains) and E. coli core genes were consistently smaller between strains characterized by more similar primary habitats. For instance, environmental strains exhibited increased expression of stress defense genes under carbon-limited growth and entered a more pronounced survival-like phenotype during starvation compared with other strains, which stayed more alert for substrate scavenging and catabolism during no-growth conditions. Since those environmental strains show similar genetic distance to each other and to the other two strains, these findings cannot be simply attributed to genetic relatedness but suggest physiological adaptations. Our study provides new insights into ecologically relevant gene-expression and underscores the role of (differential) gene regulation for the diversification of the model bacterial species. Four E.coli strains, laboratory strain K12 (MG1655), a commensal model strain (IAI1), a soil-isolated strain (TW11588-Clade IV), and a freshwater-isolated strain (TW09308âClade V) were used. Each strain was grown on a minimal growth medium (Ihssen and Egli, 2004) in three treatment modes: chemostat, batch, and starvation. Cells from batch culture were collected when reaching steady-state. For starvation, the medium flow was stopped during steady-state and bacteria were collected after 4âh.
2016-02-06 | E-GEOD-77325 | biostudies-arrayexpress
Project description:Wine produced at low temperature is often considered to improve sensory qualities. However, there are certain drawbacks to low temperature fermentations: e.g. low growth rate, long lag phase, and sluggish or stuck fermentations. Selection and development of new Saccharomyces cerevisiae strains well adapted at low temperature is interesting for future biotechnological applications. This study aimed to select and develop wine yeast strains that well adapt to ferment at low temperature through evolutionary engineering, and to decipher the process underlying the obtained phenotypes. To this end, we used a pool of 27 commercial yeast strains and set up batch serial dilution experiments to mimic wine fermentation conditions at 12 ºC. Evolutionary engineering was accomplished by using the natural yeast mutation rate and mutagenesis procedures. One strain (P5) outcompeted the others under both experimental conditions and was able to impose after 200 generations. The evolved strains showed improved growth and low-temperature fermentation performance compared to the ancestral strain. This improvement was acquired only under inositol limitation. The transcriptomic comparison between the evolved and parental strains showed the greatest up-regulation in four mannoprotein coding genes, which belong to the DAN/TIR family (DAN1, TIR1, TIR4 and TIR3). Genome sequencing of the evolved strain revealed the presence of a SNP in the GAA1 gene and the construction of a site-directed mutant (GAA1Thr108) in a derivative haploid of the ancestral strain resulted in improved fermentation performance. GAA1 encodes a GPI transamidase complex subunit that adds GPI, which is required for inositol synthesis, to newly synthesized proteins, including mannoproteins. Thus we demonstrate the importance of inositol and mannoproteins in yeast adaptation at low temperature and the central role of the GAA1 gene by linking both metabolisms. The first aim of this study was to assess the most competitive strains that grow under wine fermentation conditions at low temperature. To this end, we performed a growth competition assay with 27 commercial wine strains inoculated at equal population size in synthetic grape must. In spite of the economical and industrial importance of these strains, their phenotypic variation in the main enological traits, particularly those related to optimum growth temperature, and their ability to adapt to low temperature fermentation have been poorly investigated. The second goal was to obtain an improved strain to grow and ferment at low temperature by evolutionary engineering. For this purpose, we maintained growth competition in synthetic grape must during 200 generations to select for the mutations that produce phenotypes with improved growth in this medium. One of these evolved cultures was previously treated with ethyl methanesulfonate (EMS) to increase the mutation rate. Finally, we aimed to decipher the molecular basis underlying this improvement by analyzing the genomic and transcriptional differences between the parental strain and the strain evolved at low temperature.
2015-03-31 | E-GEOD-67428 | biostudies-arrayexpress
Project description:ChIP-seq experiment for histone H3 and H3K4me3 from wild-type Saccharomyces cerevisiae (WT) and strains in which H3K14 has been substituted for alanine (K14A) or H3P16 has been substituted with valine (P16V).
2014-07-22 | E-MTAB-2717 | biostudies-arrayexpress
Project description:This experiment is the analysis of the transcriptomes of several hybrid yeast strains obtained by crossing natural (from wine) isolates of S. cerevisiae and S. uvarum. All isolations have been done from hybrid strains growing in exponential phase in YPD. Keywords: Strain comparison Transcriptomic analysis of three independent replicates of each yeast strain growing in exponential phase. Each replicate has been hybridized on a different macroarray (F19-F22-F24) as indicated in the sample files. A single DNA (S. cerevisiae 3002 wine strain) genomic hybridization, from the same labeling reaction, was done on the same macroarrays for normalization.
2010-06-25 | E-GEOD-9888 | biostudies-arrayexpress