Growth-rate dependent and nutrient-specific gene expression resource allocation in fission yeast
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PROVIDER: PRJEB46509 | ENA |
REPOSITORIES: ENA
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Project description:Cellular resources are limited and their relative allocation to gene expression programmes determines physiological states and global properties such as the growth rate. Quantitative studies using various growth conditions have singled out growth rate as a major physiological variable explaining relative protein abundances. Here, we used the simple eukaryote Schizosaccharomyces pombe to determine the importance of growth rate in explaining relative changes in protein and mRNA levels during growth on a series of non-limiting nitrogen sources. Although half of fission yeast genes were significantly correlated with the growth rate, this came alongside widespread nutrient-specific regulation. Proteome and transcriptome often showed coordinated regulation but with notable exceptions, such as metabolic enzymes. Genes positively correlated with growth rate participated in every level of protein production with the notable exception of RNA polymerase II, whereas those negatively correlated mainly belonged to the environmental stress response programme. Critically, metabolic enzymes, which represent ~55-70% of the proteome by mass, showed mainly condition-specific regulation. Specifically, many enzymes involved in glycolysis and NAD-dependent metabolism as well as the fermentative and respiratory pathways were condition-dependent and not consistently correlated with growth. In summary, we provide a rich account of resource allocation to gene expression in a simple eukaryote, advancing our basic understanding of the interplay between growth-rate dependent and nutrient-specific gene expression.
2022-02-24 | PXD027835 | Pride
Project description:Fission yeast cells were grown upon a series of nitrogen sources that modify the growth rate. Matched RNA-seq and proteomics datasets were acquired in order to understand the regulation of gene expression i) as a function of growth rate, ii) as a function of specific nitrogen sources.
2021-12-31 | E-MTAB-10778 | biostudies-arrayexpress
Project description:Cells usually respond to changing growth conditions with a change in the specific growth rate (μ) and adjustment of their proteome to adapt and maintain metabolic efficiency. Description of the principles behind proteome resource allocation is thus important for understanding metabolic regulation in responce to changing specific growth rate. We analysed the allocation dynamics of Escherichia coli proteome resources into different metabolic processes in response to changing μ. E. coli was grown on minimal and defined rich media in steady state continuous cultures at different μ and characterised by absolute quantitative LC-MS/MS based proteomics. We detected slowly growing cells investing more proteome resources in energy generation and carbohydrate transport and metabolism whereas for achieving faster growth cells needed to devote most resources to translation and processes closely related to the protein synthesis pipeline. Furthermore, down-regulation of energy generation and carbohydrate metabolism proteins with faster growth displayed very similar expression dynamics with the global transcriptional regulator CRP (cyclic AMP receptor protein), pointing to a dominant protein resource allocating role for this protein. Our data also suggest that acetate overflow may be the result of global proteome resource optimisation as cells saved proteome resources by switching from fully respiratory to respiro-fermentative growth. The presented results give a quantitative overview how E. coli adjusts its proteome to achieve faster growthin response to perturbations in μ. Quantitative understanding of proteome resource allocation could contribute to the design of more efficient cell factories through proteome optimisation towards proteins related to target molecule synthesis.
2015-02-27 | PXD001594 | Pride
Project description:A central aim of cell biology is to understand the strategy of gene expression in response to the environment. Here we study gene expression response to metabolic challenges in exponentially growing Escherichia coli using mass spectrometry. Despite enormous complexity in the details of the underlying regulatory network, we find that the proteome partitions into several coarse-grained sectors, with each sector’s total mass abundance exhibiting positive or negative linear relations with the growth rate. The growth-rate dependent components of the proteome fractions comprise about half of the proteome by mass, and their mutual dependencies can be characterized by a simple flux model involving only two effective parameters. The success and apparent generality of this model arises from tight coordination between proteome partition and metabolism, suggesting a principle for resource-allocation in proteome economy of the cell. This strategy of global gene regulation should serve as a basis for future studies on gene expression and constructing synthetic biological circuits. Coarse-graining may be an effective approach to derive predictive phenomenological models for other ‘omics’ studies.
2015-02-12 | PXD001467 | Pride
Project description:Different resource allocation in a Bacillus subtilis population displaying bimodal motility
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Project description:Transcriptional shifts account for divergent resource allocation in feed efficient broiler chickens
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2019-03-11 | 558 | FAIRDOMHub
Project description:In angiosperms, the endosperm provides nutrients for embryogenesis or seed germination and is the primary tissue where gene imprinting occurs. To map the imprintome of the early developing endosperm in maize, we performed high-throughput transcriptome sequencing of the kernels at 0, 3, 5 days after pollination (DAP) and the endosperms at 7, 10, and 15 DAP produced from the B73 and Mo17 reciprocal crosses. We observed a gradual increase of paternal gene mRNAs in the 3- and 5-DAP kernels. In the 7-DAP endosperm, the majority of the tested genes reached a ratio of 2m:1p suggesting that paternal genes were nearly fully activated by 7 DAP. A total of 116, 234 and 63 imprinted genes exhibiting parent-specific expression were identified in the 7-, 10-, and 15-DAP endosperms, respectively. The highest amount of paternally expressed genes (PEGs) was found at 7 DAP mainly due to the significantly deviated parental allele expression ratio of these genes at this stage, while nearly 80% of the maternally expressed genes (MEGs) were specific to 10 DAP which were primarily attributed to the sharply increased expression levels compared to the other stages. GO enrichment analysis of the imprinted genes indicated the 10-DAP-specific MEGs were involved in the nutrient uptake and allocation through auxin signaling pathway in the maize endosperm coincident with the endosperm developmental stage associated with the beginning of starch and storage protein accumulation The unpollinated kernels (0 DAP), the kernels of 3, 5 DAP and endosperms of 7 10, 15 DAP from the B73 and Mo17 reciprocal crosses were used to perform high-throughput sequencing using the Illumina HiSeq2000 platform
2013-06-29 | E-GEOD-48425 | biostudies-arrayexpress
Project description:One of the most extensively studied questions in oleaginous microorganism is how cells alter gene expression to deal with growth-limiting perturbation, and resource allocation was especially recognized to contribute to TAGs accumulation. However, the strategies of resource allocation are poorly understood. Here, we examined how metabolic alternations induced by nitrogen starvation drive the TAGs accumulation in M. alpina by time-course phenotypes, metabolomics, lipidomics, and proteomic analyses.Our study offers a panoramic view of resource allocation of M. alpina in response to nutrient stress and reports a set of intriguing relations between resource reallocation and TAGs accumulation. This system-level insight provides a rich resource to explore in-depth functional characterization and informs a nutrient stress manipulation strategy of combining strain development and process integration to achieve better lipid productivity.
2020-03-25 | PXD018202 | iProX
Project description:Bacteria regulate their cellular resource allocation to enable their fast growth-adaptation to a variety of environmental niches. We studied the ribosomal allocation, growth and expression profile of two sets of fast-growing mutants of Escherichia coli K-12 MG1655. Mutants with 3 copies of the stronger ribosomal RNA operons grew faster than the wild-type strain in minimal media and show similar phenotype to previously studied rpoB mutants. All of them displayed increased ribosomal content, a longer diauxic shift and a reduced activity of the aceBAK operon, indicative of repressed gluconeogenic pathways. Transcriptomic profiles of fast-growing mutants showed common downregulation of hedging functions and upregulated growth functions. Proteome allocation estimations showed an increase in the growth-related proteome for fast-growing strains, but not an increased cellular budget for recombinant protein production. These results show that two different regulatory perturbations (rRNA promoters or rpoB mutations) increasing ribosomal allocation optimize the proteome for growth with a concomitant fitness cost.
2022-02-21 | GSE180830 | GEO