Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Growth Rate Dependent and Nutrient-specific Gene Expression Resource Allocation in Fission Yeast

ABSTRACT: 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.

INSTRUMENT(S): Q Exactive

ORGANISM(S): Schizosaccharomyces Pombe Oy26

SUBMITTER: Holger Kramer

LAB HEAD: Holger Kramer

PROVIDER: PXD027835 | Pride | 2022-02-24

REPOSITORIES: Pride

ACCESS DATA

Json Xml

Similar Datasets

Growth-rate dependent and nutrient-specific gene expression resource allocation in fission yeast

Project description:Growth-rate dependent and nutrient-specific gene expression resource allocation in fission yeast

| PRJEB46509 | ENA

Systems analysis of the response of photosynthesis, metabolism and growth to an increase in irradiance in the photosynthesis model organism Chlamydomonas reinhardtii

Project description:Systems analysis reveals that Chlamydomonas reinhardtii responds rapidly and flexibly to an increase in light intensity. Rising metabolite levels and post-translation regulation facilitate a rapid increase in the rate of carbon fixation and a slightly delayed increase in the rate of growth, and slower changes in protein abundance adjust allocation and minimize bottlenecks in the new conditions. Gene expression was measured from samples of Chlamydomonas reinhardtii cell cultures at four time points (two under low, four under high light) under either low (41 Âµmol) or high (145 Âµmol) light conditions in two separate bioreactors. Three biological replicate time series were sampled.

2014-04-30 | E-GEOD-56800 | biostudies-arrayexpress

Proteome re-allocation in amino acid supplemented S. cerevisiae using TMT-based quantitative proteomics

Project description:In recent years, more attention in systems biology has been given to the concept of protein constraints and the cell’s necessity to allocate its proteome between important processes. From this point of view, attempts to elucidate cellular maximum capacity of growth as a function of protein availability has been investigated. Elucidating the possibility of optimizing cell proliferation, by tailoring proteome allocation. To experimentally investigate this concept further we cultivated Saccharomyces cerevisiae in bioreactors with or without amino acid supplementation and performed proteomics to analyze global changes in proteome allocation, during anaerobic as well as aerobic growth on glucose. Analysis of proteomic data implies that proteome mass is mainly being re-allocated from amino acid biosynthetic processes into translation, in regard to absolute levels of change, accompanied by an increased growth rate during supplementation. Similar findings were obtained from both aerobic and anaerobic cultivations, and subsequently independent of the two examined metabolic states. Indicating the possibility of increasing growth rate through freeing up proteome mass and increasing proteome allocation towards translational machinery.

2020-08-05 | PXD018361 | Pride

Systems analysis of the response of photosynthesis, metabolism and growth to an increase in irradiance in the photosynthesis model organism Chlamydomonas reinhardtii

2014-04-30 | GSE56800 | GEO

A coordintate global control over cellular transcription

Project description:Although much is known about the regulation of eukaryotic transcription, the global controls which determine rates of total transcription within a cell are not well understood. We have investigated the effects that the DNA to protein ratio has on both total cellular transcription and the transcription of individual mRNA genes in the unicellular eukaryote fission yeast. Mutants altered in cell size and those blocked in cell cycle progression were used to vary the DNA to protein ratio over a fivefold range around the wild type value. We find that cells of sizes within twofold of wild type value regulate global transcription to maintain similar transcription rates per protein regardless of the cellular DNA content. These changes in total transcription were correlated with coordinated changes in gene occupancy by RNA polymerase II. In large cell cycle arrested mutants, when the DNA to protein ratio falls to a low level, total transcription rates plateau as DNA becomes limiting for transcription1. Unexpectedly, expression levels of individual genes remained tightly coordinated with each other over the entire range of cell sizes. We propose that there is a coordinated, global cellular control which determines the rate of transcription of most genes in the genome and that this control plays a role in regulating the overall growth rate of the cell. Normalized data generated using protocol P-TABM-1335 is available in file ZHURINSKY_NORMALISED_DATA.txt in the additional data archive.

2011-09-23 | E-TABM-1075 | biostudies-arrayexpress

Specific growth rate-dependent proteome resource allocation dynamics in Escherichia coli

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

Bacterial Fitness Landscapes Stratify Based on Proteome Allocation Associated with Discrete Aero-types

Project description:The fitness landscape is a concept commonly used to describe evolution towards optimal phenotypes. It can be reduced to mechanistic detail using genome-scale models (GEMs) from systems biology. We use recently developed GEMs of Metabolism and protein Expression (ME-models) to study the distribution of Escherichia coli phenotypes on the rate-yield plane. We found that the measured phenotypes distribute non-uniformly to form a highly stratified fitness landscape. Systems analysis of ME-model simulations suggest that this stratification results from discrete ATP generation strategies. Accordingly, we define "aero-types", a phenotypic trait that characterizes how a balanced proteome can achieve a given growth rate by modulating 1) the relative utilization of oxidative phosphorylation, glycolysis, and fermentation pathways; and 2) the differential employment of electron-transport-chain enzymes. This global, quantitative, and mechanistic systems biology interpretation of fitness landscape formed upon proteome allocation offers a fundamental understanding of bacterial physiology and evolution dynamics.

2021-01-05 | GSE164236 | GEO

Growth Rate-Dependent Coordination of Catabolism and Anabolism in the Archaeon Methanococcus maripaludis under Phosphate Limitation

Project description:Catabolic and anabolic processes are finely coordinated in microbes to provide optimized fitness under varying environmental conditions. Understanding this coordination and the resulting physiological traits identifies fundamental microbial strategies of acclimation. Here, we characterized the systems-level physiology of Methanococcus maripaludis, a niche-specialized methanogenic archaeon, at different growth rates under phosphate (i.e., anabolic) limitation. We observed a decoupling of catabolism and anabolism resulting in lower biomass yield relative to catabolically limited cells. In addition, the mass abundance of several coarse-grained proteome sectors exhibited a linear relationship with growth rate, most notably ribosomes and their biogenesis. Accordingly, cellular RNA content also correlated with growth rate. Although the methanogenesis proteome sector was invariant, the metabolic capacity for methanogenesis correlated with growth rate suggesting translationally independent regulation. These observations are in stark contrast to the physiology of M. maripaludis under formate (i.e., catabolic) limitation, where cells keep an invariant proteome including ribosomal content and a high methanogenesis capacity across a wide range of growth rates. Our findings reveal that although highly niche-specialized, M. maripaludis employs fundamentally different strategies to coordinate global physiology during anabolic phosphate and catabolic formate limitation.

2021-06-14 | MSV000087621 | MassIVE

Coordination of Growth Rate, Cell Cycle, Stress Response and Metabolic Activity in Yeast

Project description:We studied the relation between growth rate and genomewide gene expression, cell cycle progression, and glucose metabolism in 36 steady state continuous cultures limited by one of six different nutrients (glucose, ammonium, sulfate, phosphate, uracil or leucine). The expression of more than a quarter of all yeast genes is linearly correlated with growth rate, independently of the limiting nutrient. The subset of negatively growth-correlated genes is most enriched for peroxisomal functions, whereas positively correlated genes mainly encode ribosomal functions. Many (not all) genes associated with stress response are strongly correlated with growth rate, as are genes that are periodically expressed under conditions of metabolic cycling. We confirmed a linear relationship between growth rate and the fraction of the cell population in the G0/G1 cell cycle phase, independent of limiting nutrient. Cultures limited by auxotrophic requirements wasted excess glucose, whereas those limited on phosphate, sulfate or ammonia did not; this phenomenon (reminiscent of the "Warburg effect" in cancer cells) was confirmed in batch cultures. Using an aggregate of gene expression values, we predict (in both continuous and batch cultures) an "instantaneous growth rate". This concept is useful in interpreting the systemlevel connections among growth rate, metabolism, stress and the cell cycle. Keywords: growth condition design

2007-08-21 | GSE8825 | GEO

Rapid evolutionary adaptation to growth on an âunfamiliarâ carbon source

Project description:Cells constantly adapt to changes in their environment. In the majority of cases, the environment shifts between conditions that were previously encountered during the course of evolution, thus enabling evolutionary-programmed responses. In rare cases, however, cells may encounter a new environment to which a novel response is required. To characterize the first steps in adaptation to a novel condition, we studied budding yeast growth on xylulose, a sugar that is very rarely found in the wild. We previously reported that growth on xylulose induces the expression of amino-acid biosynthesis genes, in multiple natural yeast isolates. This induction occurs despite the presence of amino acids in the growth medium and is a unique response to xylulose, not triggered by any of the naturally available carbon sources tested. Propagating these strains for ~300 generations on xylulose significantly improved their growth rate. Notably, the most significant change in gene expression was the loss of amino acid biosynthesis gene induction. Furthermore, the reduction in amino-acid biosynthesis gene expression on xylulose was strongly correlated with the improvement in growth rate, suggesting that internal depletion of amino-acids presented the major bottleneck limiting growth in xylulose. We discuss the possible implications of our results for explaining how cells maintain the balance between supply and demand of amino acids during growth in evolutionary âfamiliarâ vs. ânovelâ conditions. mRNA profiles of 12 wt S. cerevisiae strains grown on either YPD or YP-xylulose, before and after 300 generations evolution on YP-xylulose

2015-12-17 | E-GEOD-76077 | 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