A Quantitative Method for Proteome Reallocation Using Minimal Regulatory Interventions
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ABSTRACT:
ORGANISM(S): Escherichia coli
PROVIDER: GSE134335 | GEO | 2019/11/30
REPOSITORIES: GEO
Similar Datasets
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:To effectively manage resources, regulatory cross-talk between biological processes within an organism is essential. An emerging area in plant research focuses on antagonism between regulatory systems controlling growth/development and those governing immunity. Such crosstalk represents a point of vulnerability for pathogens to exploit. Here we show that the notorious potato blight pathogen Phytophthora infestans promotes a growth and development pathway in order to antagonise plant immunity. AVR2, an effector protein secreted by P. infestans, has been shown to interact with potato BSL1, a putative phosphatase implicated in brassinosteroid hormone signalling. Plants expressing AVR2 exhibit transcriptional and phenotypic overlaps with an over-active brassinosteroid signalling pathway, and have compromised immunity. The activity of AVR2 leads to up-regulation of a functional orthologue of AtHBI1, known to facilitate cross-talk between the brassinosteroid pathway and immune signalling in Arabidopsis. Transient expression of potato HBI1-like compromises immunity and enhances leaf colonisation by P. infestans. Knowledge of how pathogens manipulate regulatory cross-talk governing resource allocation in plants will inform crop breeding efforts of the future; helping to maximise both yield and resistance to ensure food security as pressure on our agricultural systems increases.
2017-03-01 | E-MTAB-3854 | biostudies-arrayexpress
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
Project description:Linking the evolution of the phenotype to the underlying genotype is a key aim of evolutionary genetics and is crucial to our understanding of how natural selection shapes a trait. Here we consider the genetic basis of sex allocation behaviour in the parasitoid wasp Nasonia vitripennis using a transcriptomics approach. Females allocate offspring sex in line with Local Mate Competition (LMC) theory. Female-biased sex ratios are produced when one or few females lay eggs on a patch. As the number of females contributing offspring to a patch increases, less female-biased sex ratios are favoured. We contrasted the transcriptomic responses of females as they oviposit under conditions known to influence sex allocation: foundress number (a social cue) and the state of the host (parasitised or not). We found, that when females encounter other females on a patch, or assess host quality with their ovipositors, the resulting changes in sex allocation is not associated with significant changes in whole-body gene expression. We also found that the gene expression changes produced by females, as they facultatively allocate sex in response to a host cue and a social cue, are very closely correlated. We expanded the list of candidate genes associated with oviposition behaviour in Nasonia, some of which may be involved in fundamental processes underlying the ability to facultatively allocate sex, including sperm storage and utilisation.
2015-11-11 | GSE74241 | GEO
Project description:Protein synthesis is costly and the proteome size is constrained. Using a genome-scale computational model of proteome allocation together with absolute proteomics data sets from many growth environments, we determine how these fundamental limitations constrain growth and fitness in Escherichia coli. First, we show that the observed variation in growth rates across environments is largely determined by the expression of protein not utilized for growth in a given environment. We then elucidate the overall transcriptional regulatory logic that underlies the expression of unused protein. We systematically classify the unused proteome into segments devoted to environmental readiness and stress resistance functions. While expression of these proteome segments incurs a fitness cost of decreased growth in a fixed environment, they provide fitness benefits in a changing environment. Thus, the systems biology of the prokaryotic proteome can be quantitatively understood based on resource allocation to growth, environmental readiness, and stress resistance functions.
2018-08-01 | GSE72020 | GEO
Project description:Linking the evolution of the phenotype to the underlying genotype is a key aim of evolutionary genetics and is crucial to our understanding of how natural selection shapes a trait. Here we consider the genetic basis of sex allocation behaviour in the parasitoid wasp Nasonia vitripennis using a transcriptomics approach. Females allocate offspring sex in line with Local Mate Competition (LMC) theory. Female-biased sex ratios are produced when one or few females lay eggs on a patch. As the number of females contributing offspring to a patch increases, less female-biased sex ratios are favoured. We contrasted the transcriptomic responses of females as they oviposit under conditions known to influence sex allocation: foundress number (a social cue) and the state of the host (parasitised or not). We found, that when females encounter other females on a patch, or assess host quality with their ovipositors, the resulting changes in sex allocation is not associated with significant changes in whole-body gene expression. We also found that the gene expression changes produced by females, as they facultatively allocate sex in response to a host cue and a social cue, are very closely correlated. We expanded the list of candidate genes associated with oviposition behaviour in Nasonia, some of which may be involved in fundamental processes underlying the ability to facultatively allocate sex, including sperm storage and utilisation. 2 x 3 factorial design. Females were placed into 1 of 2 "foundress number" groups: 1) alone or 2) in the presence of 9 other females (co-foundresses). Females were further subdivided into host treatment groups: i) given no host, ii) given a fresh host and iii) given a pre-parasitised host. This gives a total of 6 possible treatment combinations. For each of these 6 groups, 7 pools of 10 females were sequenced giving 42 libraries altogether.
2015-11-11 | E-GEOD-74241 | biostudies-arrayexpress
Project description:Consumer-resource interactions are a central issue in evolutionary and community ecology because they play important roles in selection and population regulation. Most consumers encounter resource variation at multiple scales, and respond through phenotypic plasticity in the short term or evolutionary divergence in the long term. The key traits for these responses may influence resource acquisition, assimilation and/or allocation. To identify candidate genes, we experimentally assayed genome-wide gene expression in pond and lake Daphnia ecotypes exposed to alternate resource environments. One was a simple, high-quality laboratory diet, Ankistrodesmus falcatus. The other was the complex natural seston from a large lake. In temporary ponds, Daphnia generally experience high-quality, abundant resources, whereas lakes provide low-quality, seasonally shifting resources that are chronically limiting. For both ecotypes, we used replicate clones drawn from a number of separate populations.
2012-01-01 | GSE31001 | GEO
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
Project description:Consumer-resource interactions are a central issue in evolutionary and community ecology because they play important roles in selection and population regulation. Most consumers encounter resource variation at multiple scales, and respond through phenotypic plasticity in the short term or evolutionary divergence in the long term. The key traits for these responses may influence resource acquisition, assimilation and/or allocation. To identify candidate genes, we experimentally assayed genome-wide gene expression in pond and lake Daphnia ecotypes exposed to alternate resource environments. One was a simple, high-quality laboratory diet, Ankistrodesmus falcatus. The other was the complex natural seston from a large lake. In temporary ponds, Daphnia generally experience high-quality, abundant resources, whereas lakes provide low-quality, seasonally shifting resources that are chronically limiting. For both ecotypes, we used replicate clones drawn from a number of separate populations. We compared gene expression in whole Daphnia pulex that had been raised in the lab for 10 days, and then exposed to alternate resource environments for 24 hours. One resource environment was a 24 hour continuation of the lab resource, a satiating level of Ankistrodesmus falcatus. The alternate environment was the natural seston present in the epilimnion of Lake Murray, South Carolina. Two ecotypes were analyzed, one adapted to large lakes, and one adapted to temporary ponds. For each ecotype, eight replicate clones were used. Clones of the lake ecotype were isolated from eight independent lakes, clones of the pond ecotype were isolated from six different ponds. The total number of arrays is 16 (8 replicate clones x 2 ecotypes) x 2 resource environments). Total RNA was extracted from eight whole organisms pooled together. Pools were then converted to cDNA and labelled with a single round of amplification. For array hybridizations, samples from the two resource environments were paired for each clone, and dyes were swapped across clones.
2012-01-01 | E-GEOD-31001 | 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